diff --git a/snippets/.ipynb_checkpoints/NeuroFly24_scratch-checkpoint.ipynb b/snippets/.ipynb_checkpoints/NeuroFly24_scratch-checkpoint.ipynb
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@@ -0,0 +1,1196 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6abdb2a7-5a76-41b6-92d7-198fa932fc3b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "PROFILE MATCH (up:Class:Neuron)<-[:SUBCLASSOF|INSTANCEOF*..]-(n1:Neuron:Individual) WHERE up.short_form = \"FBbt_00111272\" MATCH (n1)-[r:synapsed_to]->(n2:Neuron:Individual) WHERE r.weight[0] >= 5 OPTIONAL MATCH (n2)-[:SUBCLASSOF|INSTANCEOF*..]->(down:Class:Neuron) WHERE down.short_form = \"FBbt_00005106\" OPTIONAL MATCH (c1:Class)<-[:INSTANCEOF]-(n1), (c2:Class)<-[:INSTANCEOF]-(n2) OPTIONAL MATCH (n1)-[r1:database_cross_reference]->(s1:Site) WHERE exists(s1.is_data_source) AND s1.is_data_source = True OPTIONAL MATCH (n2)-[r2:database_cross_reference]->(s2:Site) WHERE exists(s1.is_data_source) AND s2.is_data_source = True RETURN n1.short_form as upstream_neuron_id, n1.label as upstream_neuron_name, r.weight[0] as weight, n2.short_form as downstream_neuron_id, n2.label as downstream_neuron_name, apoc.text.join(collect(distinct c1.label),'|') AS upstream_class, apoc.text.join(collect(distinct c2.label),'|') as downstream_class, s1.short_form AS up_data_source, r1.accession[0] as up_accession,s2.short_form AS down_source, r2.accession[0] AS down_accession"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c6ba843e-22d0-4ae8-8508-ff08f322e152",
+   "metadata": {},
+   "source": [
+    "Query starting point:\n",
+    "\tCell Type:\n",
+    "\t\tIn which datasets can I find this cell type (might start from a synonym)\n",
+    "\tWhat is NT for this cell type.\n",
+    "\tNTR profiles of starting neuron\n",
+    "\tConnectivity query by type → Upstream/Downstream neurons\n",
+    "\tWhat NT do these have?  (Can we break this down by evidence?)\n",
+    "\tNTR profiles of downstream neurons corresponding to NT starting neuron \n",
+    "\tNTR profile of starting neuron corresponding to downstream neurons\n",
+    "\t\n",
+    "\tWhat motifs are users looking for?  Looking for feedback motifs?  E.g. excitatory → GABA ergic → feedback to starting excitatory neuron.\n",
+    "\n",
+    "\n",
+    " What's missing: Discovery query?  Find which neurons we have transcriptomic data for before proceeding?\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "e5d0f997-9ba4-4474-9cb8-fd1dc16b57ee",
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "ModuleNotFoundError",
+     "evalue": "No module named 'vfb_connect'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[1], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mvfb_connect\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mcross_server_tools\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m VfbConnect\n\u001b[1;32m      2\u001b[0m vc \u001b[38;5;241m=\u001b[39m VfbConnect()\n",
+      "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'vfb_connect'"
+     ]
+    }
+   ],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "79b73538-c858-4024-a017-59be3899f932",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Collecting vfb_connect\n",
+      "  Downloading vfb_connect-1.2.20-py3-none-any.whl (40 kB)\n",
+      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m40.3/40.3 kB\u001b[0m \u001b[31m3.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+      "\u001b[?25hRequirement already satisfied: requests in /Users/do12/Documents/GitHub/VFB_connect/venv/lib/python3.9/site-packages (from vfb_connect) (2.31.0)\n",
+      "Requirement already satisfied: pandas in /Users/do12/Documents/GitHub/VFB_connect/venv/lib/python3.9/site-packages (from vfb_connect) (2.1.0)\n",
+      "Requirement already satisfied: jsonpath-rw in /Users/do12/Documents/GitHub/VFB_connect/venv/lib/python3.9/site-packages (from vfb_connect) (1.4.0)\n",
+      "Requirement already satisfied: six in /Users/do12/Documents/GitHub/VFB_connect/venv/lib/python3.9/site-packages (from jsonpath-rw->vfb_connect) (1.16.0)\n",
+      "Requirement already satisfied: decorator in /Users/do12/Documents/GitHub/VFB_connect/venv/lib/python3.9/site-packages (from jsonpath-rw->vfb_connect) (5.1.1)\n",
+      "Requirement already satisfied: ply in /Users/do12/Documents/GitHub/VFB_connect/venv/lib/python3.9/site-packages (from jsonpath-rw->vfb_connect) (3.11)\n",
+      "Requirement already satisfied: python-dateutil>=2.8.2 in /Users/do12/Documents/GitHub/VFB_connect/venv/lib/python3.9/site-packages (from pandas->vfb_connect) (2.8.2)\n",
+      "Requirement already satisfied: tzdata>=2022.1 in /Users/do12/Documents/GitHub/VFB_connect/venv/lib/python3.9/site-packages (from pandas->vfb_connect) (2023.3)\n",
+      "Requirement already satisfied: numpy>=1.22.4 in /Users/do12/Documents/GitHub/VFB_connect/venv/lib/python3.9/site-packages (from pandas->vfb_connect) (1.25.2)\n",
+      "Requirement already satisfied: pytz>=2020.1 in /Users/do12/Documents/GitHub/VFB_connect/venv/lib/python3.9/site-packages (from pandas->vfb_connect) (2023.3.post1)\n",
+      "Requirement already satisfied: idna<4,>=2.5 in /Users/do12/Documents/GitHub/VFB_connect/venv/lib/python3.9/site-packages (from requests->vfb_connect) (3.4)\n",
+      "Requirement already satisfied: urllib3<3,>=1.21.1 in /Users/do12/Documents/GitHub/VFB_connect/venv/lib/python3.9/site-packages (from requests->vfb_connect) (2.0.4)\n",
+      "Requirement already satisfied: certifi>=2017.4.17 in /Users/do12/Documents/GitHub/VFB_connect/venv/lib/python3.9/site-packages (from requests->vfb_connect) (2023.7.22)\n",
+      "Requirement already satisfied: charset-normalizer<4,>=2 in /Users/do12/Documents/GitHub/VFB_connect/venv/lib/python3.9/site-packages (from requests->vfb_connect) (3.2.0)\n",
+      "Installing collected packages: vfb_connect\n",
+      "Successfully installed vfb_connect-1.2.20\n",
+      "\n",
+      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip available: \u001b[0m\u001b[31;49m22.3.1\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m24.2\u001b[0m\n",
+      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n"
+     ]
+    }
+   ],
+   "source": [
+    "!pip install vfb_connect"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "07853f0a-4b7d-4e0e-903a-a2daf53ec640",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/do12/Documents/GitHub/VFB_connect/venv/lib/python3.9/site-packages/urllib3/__init__.py:34: NotOpenSSLWarning: urllib3 v2.0 only supports OpenSSL 1.1.1+, currently the 'ssl' module is compiled with 'LibreSSL 2.8.3'. See: https://github.com/urllib3/urllib3/issues/3020\n",
+      "  warnings.warn(\n"
+     ]
+    }
+   ],
+   "source": [
+    "from vfb_connect.cross_server_tools import VfbConnect\n",
+    "vc = VfbConnect()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "0f5441cd-f550-4f30-9ed1-be73dd88f6f0",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[{'label': 'distal medullary amacrine neuron Dm9',\n",
+       "  'symbol': 'Dm9',\n",
+       "  'id': 'FBbt_00111271',\n",
+       "  'tags': 'Entity|Adult|Anatomy|Cell|Class|Glutamatergic|Nervous_system|Neuron|Visual_system|hasScRNAseq',\n",
+       "  'parents_label': 'Notch OFF hemilineage secondary neuron|adult glutamatergic neuron|distal medullary amacrine neuron',\n",
+       "  'parents_id': 'FBbt_00049542|FBbt_00058208|FBbt_00003767'}]"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Cell Type:\n",
+    "#\t\tIn which datasets can I find this cell type (might start from a synonym)\n",
+    "#\tWhat is NT for this cell type.\n",
+    "\n",
+    "# We can't start from a synonym right now.  Need to add a new lookup\n",
+    "# We can look at term info for an individual neuron\n",
+    "vc.neo_query_wrapper.get_type_TermInfo([vc.lookup_id('Dm9')], summary=True) \n",
+    "# Improvements: Make summary True by default. Support dataframe output by default for summary\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "dcf0e55a-fae0-41a3-8f6a-f377e160f4cc",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'Distal medullary wide-field amacrine neuron with arbors that span multiple columns in layers M1 and M6A and columnar processes between these two layers. The processes in M2 and M5 occupy a central column position and are closely associated with R7 and R8 photoreceptor axons, covering around 7 columns. There are around 110 Dm9 neurons per hemisphere. They are glutamatergic (Davis et al., 2020).'"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# From this we can see that this type is glutamatergic.  For whey we can look at description (although notes \n",
+    "#- in some cases the infor might be on a superclass)\n",
+    "vc.neo_query_wrapper.get_type_TermInfo([vc.lookup_id('Dm9')])[0]['term']['description'][0]\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "4753fc75-4801-42b3-bbf4-df5bb614b3d7",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[{'core': {'symbol': '',\n",
+       "   'iri': 'http://flybase.org/reports/FBrf0228639',\n",
+       "   'types': ['Entity', 'Individual', 'pub'],\n",
+       "   'short_form': 'FBrf0228639',\n",
+       "   'unique_facets': ['pub'],\n",
+       "   'label': 'Nern et al., 2015, Proc. Natl. Acad. Sci. U.S.A. 112(22): E2967--E2976'},\n",
+       "  'FlyBase': 'FBrf0228639',\n",
+       "  'PubMed': '25964354',\n",
+       "  'DOI': '10.1073/pnas.1506763112'},\n",
+       " {'core': {'symbol': '',\n",
+       "   'iri': 'http://flybase.org/reports/FBrf0244935',\n",
+       "   'types': ['Entity', 'Individual', 'pub'],\n",
+       "   'short_form': 'FBrf0244935',\n",
+       "   'unique_facets': ['pub'],\n",
+       "   'label': 'Davis et al., 2020, eLife 9: e50901'},\n",
+       "  'FlyBase': 'FBrf0244935',\n",
+       "  'PubMed': '31939737',\n",
+       "  'DOI': '10.7554/eLife.50901'},\n",
+       " {'core': {'symbol': '',\n",
+       "   'iri': 'http://flybase.org/reports/FBrf0222324',\n",
+       "   'types': ['Entity', 'Individual', 'pub'],\n",
+       "   'short_form': 'FBrf0222324',\n",
+       "   'unique_facets': ['pub'],\n",
+       "   'label': 'Takemura et al., 2013, Nature 500(7461): 175--181'},\n",
+       "  'FlyBase': 'FBrf0222324',\n",
+       "  'PubMed': '23925240',\n",
+       "  'DOI': '10.1038/nature12450'},\n",
+       " {'core': {'symbol': '',\n",
+       "   'iri': 'http://flybase.org/reports/FBrf0252485',\n",
+       "   'types': ['Entity', 'Individual', 'pub'],\n",
+       "   'short_form': 'FBrf0252485',\n",
+       "   'unique_facets': ['pub'],\n",
+       "   'label': 'Kind et al., 2021, eLife 10: e71858'},\n",
+       "  'FlyBase': 'FBrf0252485',\n",
+       "  'PubMed': '34913436',\n",
+       "  'DOI': '10.7554/eLife.71858'}]"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "vc.neo_query_wrapper.get_type_TermInfo([vc.lookup_id('Dm9')])[0]['def_pubs']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "438cb783-c5ef-4c7d-a061-064176c7624b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Supporting ref = label': 'Davis et al., 2020, eLife 9: e50901'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "3175ccf6-7a1a-49fc-a10e-cc8ea6932d3d",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>upstream_neuron_id</th>\n",
+       "      <th>upstream_neuron_name</th>\n",
+       "      <th>weight</th>\n",
+       "      <th>downstream_neuron_id</th>\n",
+       "      <th>downstream_neuron_name</th>\n",
+       "      <th>upstream_class</th>\n",
+       "      <th>downstream_class</th>\n",
+       "      <th>up_data_source</th>\n",
+       "      <th>up_accession</th>\n",
+       "      <th>down_source</th>\n",
+       "      <th>down_accession</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>VFB_001029fa</td>\n",
+       "      <td>Dm9#7 (FAFB:11916195)</td>\n",
+       "      <td>2</td>\n",
+       "      <td>VFB_001029fc</td>\n",
+       "      <td>Dm2#7 (FAFB:11918130)</td>\n",
+       "      <td>distal medullary amacrine neuron Dm9</td>\n",
+       "      <td>distal medullary amacrine neuron Dm2</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>VFB_001029c5</td>\n",
+       "      <td>Dm9#2 (FAFB:11447061)</td>\n",
+       "      <td>4</td>\n",
+       "      <td>VFB_001029ai</td>\n",
+       "      <td>Dm8#4 (FAFB:10208775)</td>\n",
+       "      <td>distal medullary amacrine neuron Dm9</td>\n",
+       "      <td>distal medullary amacrine neuron Dm8</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>VFB_001029cr</td>\n",
+       "      <td>Dm9#1 (FAFB:11452427)</td>\n",
+       "      <td>2</td>\n",
+       "      <td>VFB_001029ai</td>\n",
+       "      <td>Dm8#4 (FAFB:10208775)</td>\n",
+       "      <td>distal medullary amacrine neuron Dm9</td>\n",
+       "      <td>distal medullary amacrine neuron Dm8</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>VFB_001029c5</td>\n",
+       "      <td>Dm9#2 (FAFB:11447061)</td>\n",
+       "      <td>3</td>\n",
+       "      <td>VFB_001029ae</td>\n",
+       "      <td>Dm8#1 (FAFB:10109586)</td>\n",
+       "      <td>distal medullary amacrine neuron Dm9</td>\n",
+       "      <td>distal medullary amacrine neuron Dm8</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>VFB_001029bq</td>\n",
+       "      <td>Dm9#9 (FAFB:10657500)</td>\n",
+       "      <td>2</td>\n",
+       "      <td>VFB_001029as</td>\n",
+       "      <td>Dm-DRA2#1 (FAFB:10411788)</td>\n",
+       "      <td>distal medullary amacrine neuron Dm9</td>\n",
+       "      <td>distal medullary amacrine neuron Dm-DRA2</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "  upstream_neuron_id   upstream_neuron_name  weight downstream_neuron_id  \\\n",
+       "0       VFB_001029fa  Dm9#7 (FAFB:11916195)       2         VFB_001029fc   \n",
+       "1       VFB_001029c5  Dm9#2 (FAFB:11447061)       4         VFB_001029ai   \n",
+       "2       VFB_001029cr  Dm9#1 (FAFB:11452427)       2         VFB_001029ai   \n",
+       "3       VFB_001029c5  Dm9#2 (FAFB:11447061)       3         VFB_001029ae   \n",
+       "4       VFB_001029bq  Dm9#9 (FAFB:10657500)       2         VFB_001029as   \n",
+       "\n",
+       "      downstream_neuron_name                        upstream_class  \\\n",
+       "0      Dm2#7 (FAFB:11918130)  distal medullary amacrine neuron Dm9   \n",
+       "1      Dm8#4 (FAFB:10208775)  distal medullary amacrine neuron Dm9   \n",
+       "2      Dm8#4 (FAFB:10208775)  distal medullary amacrine neuron Dm9   \n",
+       "3      Dm8#1 (FAFB:10109586)  distal medullary amacrine neuron Dm9   \n",
+       "4  Dm-DRA2#1 (FAFB:10411788)  distal medullary amacrine neuron Dm9   \n",
+       "\n",
+       "                           downstream_class up_data_source up_accession  \\\n",
+       "0      distal medullary amacrine neuron Dm2           None         None   \n",
+       "1      distal medullary amacrine neuron Dm8           None         None   \n",
+       "2      distal medullary amacrine neuron Dm8           None         None   \n",
+       "3      distal medullary amacrine neuron Dm8           None         None   \n",
+       "4  distal medullary amacrine neuron Dm-DRA2           None         None   \n",
+       "\n",
+       "  down_source down_accession  \n",
+       "0        None           None  \n",
+       "1        None           None  \n",
+       "2        None           None  \n",
+       "3        None           None  \n",
+       "4        None           None  "
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "vc.get_connected_neurons_by_type(upstream_type='Dm9', downstream_type='Dm', weight=1) # Note "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ba843645-d3dc-4e5d-a14f-42322b8874bc",
+   "metadata": {},
+   "source": [
+    "# Notes - \n",
+    "\n",
+    "* we have a problem with queries running indefinitely when we go above Dm as downstream neuron type.\n",
+    "   * We could deal with this for the most general use-case  - Neuron by making all args optional but failing if at least one of upstream or downstream are filled.  There's no need to query up to neuron because we know this form the Semantic tag\n",
+    "* Need to fix typ on in data source return\n",
+    "   `                        \"WHERE exists(s1.is_data_source) AND s2.is_data_source = True \" \\`\n",
+    "  -->\n",
+    "  `                        \"WHERE exists(s2.is_data_source) AND s2.is_data_source = True \" \\`\n",
+    "\n",
+    "With the second fixed we will return datasets - BUT the dataset names are really not easy to understand.  THIS NEEDS TO BE FIXED. There has already been some work on this to add SYMBOLS.  We need to be returning these in queries!"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "28bba6ea-945d-4124-950b-d78f41f36b34",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# \tNTR profiles of downstream neurons corresponding to NT starting neuron \n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "f98eacb7-c359-4439-b9e7-6169f828b0a9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Dm9 downstream types\n",
+    "dm9_ds_type= set(vc.get_connected_neurons_by_type(upstream_type='Dm9', downstream_type='Dm', weight=1)['downstream_class'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "id": "ec1972a4-c388-4901-a61f-4ad91908e42a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'distal medullary amacrine neuron Dm-DRA2',\n",
+       " 'distal medullary amacrine neuron Dm2',\n",
+       " 'distal medullary amacrine neuron Dm8'}"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dm9_ds_type"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "id": "8fd4b430-edc9-434d-ab12-999ffc3e5614",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['Acetylcholine_receptor',\n",
+       " 'Calcium_binding',\n",
+       " 'Carbohydrate_binding',\n",
+       " 'Chaperone',\n",
+       " 'Cytoskeleton_binding',\n",
+       " 'DNA_binding',\n",
+       " 'Dopamine_receptor',\n",
+       " 'Enzyme',\n",
+       " 'GABA_receptor',\n",
+       " 'GPCR',\n",
+       " 'Glutamate_receptor',\n",
+       " 'Gustatory_receptor',\n",
+       " 'Histamine_receptor',\n",
+       " 'Hormone',\n",
+       " 'Ion_channel',\n",
+       " 'Ligand',\n",
+       " 'Lipid_binding',\n",
+       " 'Mechanosensory_ion_channel',\n",
+       " 'Metal_ion_binding',\n",
+       " 'Neuropeptide',\n",
+       " 'Neurotransmitter_receptor',\n",
+       " 'Octopamine_receptor',\n",
+       " 'Odorant_binding',\n",
+       " 'Olfactory_receptor',\n",
+       " 'Peptide_or_protein_hormone_receptor',\n",
+       " 'Photoreceptor',\n",
+       " 'RNA_binding',\n",
+       " 'Receptor',\n",
+       " 'Regulator',\n",
+       " 'Serotonin_receptor',\n",
+       " 'Small_molecule_binding',\n",
+       " 'Structural_molecule',\n",
+       " 'Thermosensory_ion_channel',\n",
+       " 'Transcription_factor',\n",
+       " 'Transporter',\n",
+       " 'Tyramine_receptor']"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "vc.get_gene_function_filters()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "49ee182c-29f8-4a5a-b439-47ed1297db34",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "\u001b[0;31mSignature:\u001b[0m\n",
+       "\u001b[0mvc\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_transcriptomic_profile\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m    \u001b[0mcell_type\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m    \u001b[0mgene_type\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m    \u001b[0mreturn_dataframe\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+       "\u001b[0;31mDocstring:\u001b[0m\n",
+       "Get gene expression data for a given cell_type.\n",
+       "\n",
+       "Returns a DataFrame of gene expression data for clusters of cells annotated as cell_type (or subtypes).\n",
+       "Can optionally restrict to a gene_type - these can be retrieved by running get_gene_function_filters.\n",
+       "If no data is found, returns False.\n",
+       "\n",
+       ":param cell_type: The ID, name or symbol of a class in the Drosophila Anatomy Ontology (FBbt).\n",
+       ":param gene_type: Optional. A gene function label - these can be retrieved by running get_gene_function_filters().\n",
+       ":return: DataFrame with gene expression data for clusters of cells annotated as cell_type (or subtypes).\n",
+       ":rtype: DataFrame\n",
+       "\u001b[0;31mFile:\u001b[0m      ~/Documents/GitHub/VFB_connect/venv/lib/python3.9/site-packages/vfb_connect/cross_server_tools.py\n",
+       "\u001b[0;31mType:\u001b[0m      method"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "vc.get_transcriptomic_profile?\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "074296ba-829c-42e1-9b3f-228f4c75acf5",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "id": "5b81af15-8d97-4400-b666-f2b2c48b00ea",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Getting transcriptomic profile for distal medullary amacrine neuron Dm-DRA2\n",
+      "Empty DataFrame\n",
+      "Columns: []\n",
+      "Index: []\n",
+      "Getting transcriptomic profile for distal medullary amacrine neuron Dm2\n",
+      "                              cell_type   cell_type_id sample_sex  \\\n",
+      "0  distal medullary amacrine neuron Dm2  FBbt_00003769       None   \n",
+      "1  distal medullary amacrine neuron Dm2  FBbt_00003769       None   \n",
+      "\n",
+      "        sample_tissue                                          ref    gene  \\\n",
+      "0  [adult optic lobe]  Özel et al., 2021, Nature 589(7840): 88--95  GluClα   \n",
+      "1  [adult optic lobe]  Özel et al., 2021, Nature 589(7840): 88--95  GluRIB   \n",
+      "\n",
+      "       gene_id                                           function    extent  \\\n",
+      "0  FBgn0024963  [Receptor, Neurotransmitter_receptor, Ion_chan...  0.451883   \n",
+      "1  FBgn0264000  [Receptor, Neurotransmitter_receptor, Ion_chan...  0.305439   \n",
+      "\n",
+      "       level  \n",
+      "0  1098.2018  \n",
+      "1  1094.0442  \n",
+      "Getting transcriptomic profile for distal medullary amacrine neuron Dm8\n",
+      "                               cell_type   cell_type_id       sample_sex  \\\n",
+      "0   distal medullary amacrine neuron Dm8  FBbt_00013774    male organism   \n",
+      "1   distal medullary amacrine neuron Dm8  FBbt_00013774             None   \n",
+      "2   distal medullary amacrine neuron Dm8  FBbt_00013774  female organism   \n",
+      "3   distal medullary amacrine neuron Dm8  FBbt_00013774             None   \n",
+      "4   distal medullary amacrine neuron Dm8  FBbt_00013774    male organism   \n",
+      "5   distal medullary amacrine neuron Dm8  FBbt_00013774             None   \n",
+      "6   distal medullary amacrine neuron Dm8  FBbt_00013774  female organism   \n",
+      "7   distal medullary amacrine neuron Dm8  FBbt_00013774  female organism   \n",
+      "8   distal medullary amacrine neuron Dm8  FBbt_00013774             None   \n",
+      "9   distal medullary amacrine neuron Dm8  FBbt_00013774  female organism   \n",
+      "10  distal medullary amacrine neuron Dm8  FBbt_00013774    male organism   \n",
+      "\n",
+      "                                        sample_tissue  \\\n",
+      "0   [wing, haltere, adult, adult pars intercerebra...   \n",
+      "1   [adult head, proboscis, male reproductive syst...   \n",
+      "2   [adult head, adult corpus cardiacum, antenna, ...   \n",
+      "3                                  [adult optic lobe]   \n",
+      "4   [wing, haltere, adult, adult pars intercerebra...   \n",
+      "5   [adult head, proboscis, male reproductive syst...   \n",
+      "6   [adult head, adult corpus cardiacum, antenna, ...   \n",
+      "7   [adult head, adult corpus cardiacum, antenna, ...   \n",
+      "8   [adult head, proboscis, male reproductive syst...   \n",
+      "9   [adult head, adult corpus cardiacum, antenna, ...   \n",
+      "10  [wing, haltere, adult, adult pars intercerebra...   \n",
+      "\n",
+      "                                             ref     gene      gene_id  \\\n",
+      "0   Li et al., 2022, Science 375(6584): eabk2432  CG11155  FBgn0039927   \n",
+      "1   Li et al., 2022, Science 375(6584): eabk2432  CG11155  FBgn0039927   \n",
+      "2   Li et al., 2022, Science 375(6584): eabk2432  CG11155  FBgn0039927   \n",
+      "3    Özel et al., 2021, Nature 589(7840): 88--95  CG11155  FBgn0039927   \n",
+      "4   Li et al., 2022, Science 375(6584): eabk2432   GluClα  FBgn0024963   \n",
+      "5   Li et al., 2022, Science 375(6584): eabk2432   GluClα  FBgn0024963   \n",
+      "6   Li et al., 2022, Science 375(6584): eabk2432   GluClα  FBgn0024963   \n",
+      "7   Li et al., 2022, Science 375(6584): eabk2432   GluRIB  FBgn0264000   \n",
+      "8   Li et al., 2022, Science 375(6584): eabk2432   Nmdar2  FBgn0053513   \n",
+      "9   Li et al., 2022, Science 375(6584): eabk2432   Nmdar2  FBgn0053513   \n",
+      "10  Li et al., 2022, Science 375(6584): eabk2432    mGluR  FBgn0019985   \n",
+      "\n",
+      "                                             function    extent       level  \n",
+      "0   [Receptor, Ion_channel, Transporter, Glutamate...  0.720000  1700.67880  \n",
+      "1   [Receptor, Ion_channel, Transporter, Glutamate...  0.633803  1543.74290  \n",
+      "2   [Receptor, Ion_channel, Transporter, Glutamate...  0.482759  1349.29880  \n",
+      "3   [Receptor, Ion_channel, Transporter, Glutamate...  0.226744   740.19415  \n",
+      "4   [Receptor, Neurotransmitter_receptor, Ion_chan...  0.720000  1534.37680  \n",
+      "5   [Receptor, Neurotransmitter_receptor, Ion_chan...  0.492958  1564.11840  \n",
+      "6   [Receptor, Neurotransmitter_receptor, Ion_chan...  0.517241  1685.25260  \n",
+      "7   [Receptor, Neurotransmitter_receptor, Ion_chan...  0.241379   848.22955  \n",
+      "8   [Receptor, Neurotransmitter_receptor, Ion_chan...  0.225352  1295.88900  \n",
+      "9   [Receptor, Neurotransmitter_receptor, Ion_chan...  0.206897  1154.15540  \n",
+      "10  [Small_molecule_binding, Receptor, GPCR, Lipid...  0.240000   968.85333  \n"
+     ]
+    }
+   ],
+   "source": [
+    "for t in dm9_ds_type:\n",
+    "    print(\"Getting transcriptomic profile for \" + t)\n",
+    "    print(vc.get_transcriptomic_profile(t, gene_type='Glutamate_receptor'))\n",
+    "    "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "id": "fdc6c493-7955-4feb-9200-31eeaf42239f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>cell_type</th>\n",
+       "      <th>cell_type_id</th>\n",
+       "      <th>sample_sex</th>\n",
+       "      <th>sample_tissue</th>\n",
+       "      <th>ref</th>\n",
+       "      <th>gene</th>\n",
+       "      <th>gene_id</th>\n",
+       "      <th>function</th>\n",
+       "      <th>extent</th>\n",
+       "      <th>level</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>distal medullary amacrine neuron Dm2</td>\n",
+       "      <td>FBbt_00003769</td>\n",
+       "      <td>None</td>\n",
+       "      <td>[adult optic lobe]</td>\n",
+       "      <td>Özel et al., 2021, Nature 589(7840): 88--95</td>\n",
+       "      <td>GluClα</td>\n",
+       "      <td>FBgn0024963</td>\n",
+       "      <td>[Receptor, Neurotransmitter_receptor, Ion_chan...</td>\n",
+       "      <td>0.451883</td>\n",
+       "      <td>1098.2018</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>distal medullary amacrine neuron Dm2</td>\n",
+       "      <td>FBbt_00003769</td>\n",
+       "      <td>None</td>\n",
+       "      <td>[adult optic lobe]</td>\n",
+       "      <td>Özel et al., 2021, Nature 589(7840): 88--95</td>\n",
+       "      <td>GluRIB</td>\n",
+       "      <td>FBgn0264000</td>\n",
+       "      <td>[Receptor, Neurotransmitter_receptor, Ion_chan...</td>\n",
+       "      <td>0.305439</td>\n",
+       "      <td>1094.0442</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                              cell_type   cell_type_id sample_sex  \\\n",
+       "0  distal medullary amacrine neuron Dm2  FBbt_00003769       None   \n",
+       "1  distal medullary amacrine neuron Dm2  FBbt_00003769       None   \n",
+       "\n",
+       "        sample_tissue                                          ref    gene  \\\n",
+       "0  [adult optic lobe]  Özel et al., 2021, Nature 589(7840): 88--95  GluClα   \n",
+       "1  [adult optic lobe]  Özel et al., 2021, Nature 589(7840): 88--95  GluRIB   \n",
+       "\n",
+       "       gene_id                                           function    extent  \\\n",
+       "0  FBgn0024963  [Receptor, Neurotransmitter_receptor, Ion_chan...  0.451883   \n",
+       "1  FBgn0264000  [Receptor, Neurotransmitter_receptor, Ion_chan...  0.305439   \n",
+       "\n",
+       "       level  \n",
+       "0  1098.2018  \n",
+       "1  1094.0442  "
+      ]
+     },
+     "execution_count": 31,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "vc.get_transcriptomic_profile('Dm2', gene_type='Glutamate_receptor')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "id": "5b08def5-58f1-45ee-ab96-01594e3e705b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>upstream_neuron_id</th>\n",
+       "      <th>upstream_neuron_name</th>\n",
+       "      <th>weight</th>\n",
+       "      <th>downstream_neuron_id</th>\n",
+       "      <th>downstream_neuron_name</th>\n",
+       "      <th>upstream_class</th>\n",
+       "      <th>downstream_class</th>\n",
+       "      <th>up_data_source</th>\n",
+       "      <th>up_accession</th>\n",
+       "      <th>down_source</th>\n",
+       "      <th>down_accession</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>VFB_001029ai</td>\n",
+       "      <td>Dm8#4 (FAFB:10208775)</td>\n",
+       "      <td>22</td>\n",
+       "      <td>VFB_001029cr</td>\n",
+       "      <td>Dm9#1 (FAFB:11452427)</td>\n",
+       "      <td>distal medullary amacrine neuron Dm8</td>\n",
+       "      <td>distal medullary amacrine neuron Dm9</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>VFB_001029ae</td>\n",
+       "      <td>Dm8#1 (FAFB:10109586)</td>\n",
+       "      <td>23</td>\n",
+       "      <td>VFB_001029cr</td>\n",
+       "      <td>Dm9#1 (FAFB:11452427)</td>\n",
+       "      <td>distal medullary amacrine neuron Dm8</td>\n",
+       "      <td>distal medullary amacrine neuron Dm9</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>VFB_001029ae</td>\n",
+       "      <td>Dm8#1 (FAFB:10109586)</td>\n",
+       "      <td>7</td>\n",
+       "      <td>VFB_001029ee</td>\n",
+       "      <td>Dm9#4 (FAFB:11484679)</td>\n",
+       "      <td>distal medullary amacrine neuron Dm8</td>\n",
+       "      <td>distal medullary amacrine neuron Dm9</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>VFB_001029ah</td>\n",
+       "      <td>Dm8#11 (FAFB:10196189)</td>\n",
+       "      <td>8</td>\n",
+       "      <td>VFB_001029ee</td>\n",
+       "      <td>Dm9#4 (FAFB:11484679)</td>\n",
+       "      <td>distal medullary amacrine neuron Dm8</td>\n",
+       "      <td>distal medullary amacrine neuron Dm9</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>VFB_001029ah</td>\n",
+       "      <td>Dm8#11 (FAFB:10196189)</td>\n",
+       "      <td>3</td>\n",
+       "      <td>VFB_001029c5</td>\n",
+       "      <td>Dm9#2 (FAFB:11447061)</td>\n",
+       "      <td>distal medullary amacrine neuron Dm8</td>\n",
+       "      <td>distal medullary amacrine neuron Dm9</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>112</th>\n",
+       "      <td>VFB_001029ah</td>\n",
+       "      <td>Dm8#11 (FAFB:10196189)</td>\n",
+       "      <td>2</td>\n",
+       "      <td>VFB_001029b7</td>\n",
+       "      <td>Dm#9 (FAFB:10537970)</td>\n",
+       "      <td>distal medullary amacrine neuron Dm8</td>\n",
+       "      <td>distal medullary amacrine neuron</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>113</th>\n",
+       "      <td>VFB_001029cl</td>\n",
+       "      <td>Dm11#1 (FAFB:11450453)</td>\n",
+       "      <td>2</td>\n",
+       "      <td>VFB_001029b7</td>\n",
+       "      <td>Dm#9 (FAFB:10537970)</td>\n",
+       "      <td>distal medullary amacrine neuron Dm11</td>\n",
+       "      <td>distal medullary amacrine neuron</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>114</th>\n",
+       "      <td>VFB_001029ce</td>\n",
+       "      <td>Dm2#1 (FAFB:11448822)</td>\n",
+       "      <td>2</td>\n",
+       "      <td>VFB_001029b7</td>\n",
+       "      <td>Dm#9 (FAFB:10537970)</td>\n",
+       "      <td>distal medullary amacrine neuron Dm2</td>\n",
+       "      <td>distal medullary amacrine neuron</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>115</th>\n",
+       "      <td>VFB_001029ae</td>\n",
+       "      <td>Dm8#1 (FAFB:10109586)</td>\n",
+       "      <td>11</td>\n",
+       "      <td>VFB_001029cg</td>\n",
+       "      <td>Dm#2 (FAFB:11448962)</td>\n",
+       "      <td>distal medullary amacrine neuron Dm8</td>\n",
+       "      <td>distal medullary amacrine neuron</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>116</th>\n",
+       "      <td>VFB_001029ah</td>\n",
+       "      <td>Dm8#11 (FAFB:10196189)</td>\n",
+       "      <td>5</td>\n",
+       "      <td>VFB_001029cg</td>\n",
+       "      <td>Dm#2 (FAFB:11448962)</td>\n",
+       "      <td>distal medullary amacrine neuron Dm8</td>\n",
+       "      <td>distal medullary amacrine neuron</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>117 rows × 11 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    upstream_neuron_id    upstream_neuron_name  weight downstream_neuron_id  \\\n",
+       "0         VFB_001029ai   Dm8#4 (FAFB:10208775)      22         VFB_001029cr   \n",
+       "1         VFB_001029ae   Dm8#1 (FAFB:10109586)      23         VFB_001029cr   \n",
+       "2         VFB_001029ae   Dm8#1 (FAFB:10109586)       7         VFB_001029ee   \n",
+       "3         VFB_001029ah  Dm8#11 (FAFB:10196189)       8         VFB_001029ee   \n",
+       "4         VFB_001029ah  Dm8#11 (FAFB:10196189)       3         VFB_001029c5   \n",
+       "..                 ...                     ...     ...                  ...   \n",
+       "112       VFB_001029ah  Dm8#11 (FAFB:10196189)       2         VFB_001029b7   \n",
+       "113       VFB_001029cl  Dm11#1 (FAFB:11450453)       2         VFB_001029b7   \n",
+       "114       VFB_001029ce   Dm2#1 (FAFB:11448822)       2         VFB_001029b7   \n",
+       "115       VFB_001029ae   Dm8#1 (FAFB:10109586)      11         VFB_001029cg   \n",
+       "116       VFB_001029ah  Dm8#11 (FAFB:10196189)       5         VFB_001029cg   \n",
+       "\n",
+       "    downstream_neuron_name                         upstream_class  \\\n",
+       "0    Dm9#1 (FAFB:11452427)   distal medullary amacrine neuron Dm8   \n",
+       "1    Dm9#1 (FAFB:11452427)   distal medullary amacrine neuron Dm8   \n",
+       "2    Dm9#4 (FAFB:11484679)   distal medullary amacrine neuron Dm8   \n",
+       "3    Dm9#4 (FAFB:11484679)   distal medullary amacrine neuron Dm8   \n",
+       "4    Dm9#2 (FAFB:11447061)   distal medullary amacrine neuron Dm8   \n",
+       "..                     ...                                    ...   \n",
+       "112   Dm#9 (FAFB:10537970)   distal medullary amacrine neuron Dm8   \n",
+       "113   Dm#9 (FAFB:10537970)  distal medullary amacrine neuron Dm11   \n",
+       "114   Dm#9 (FAFB:10537970)   distal medullary amacrine neuron Dm2   \n",
+       "115   Dm#2 (FAFB:11448962)   distal medullary amacrine neuron Dm8   \n",
+       "116   Dm#2 (FAFB:11448962)   distal medullary amacrine neuron Dm8   \n",
+       "\n",
+       "                         downstream_class up_data_source up_accession  \\\n",
+       "0    distal medullary amacrine neuron Dm9           None         None   \n",
+       "1    distal medullary amacrine neuron Dm9           None         None   \n",
+       "2    distal medullary amacrine neuron Dm9           None         None   \n",
+       "3    distal medullary amacrine neuron Dm9           None         None   \n",
+       "4    distal medullary amacrine neuron Dm9           None         None   \n",
+       "..                                    ...            ...          ...   \n",
+       "112      distal medullary amacrine neuron           None         None   \n",
+       "113      distal medullary amacrine neuron           None         None   \n",
+       "114      distal medullary amacrine neuron           None         None   \n",
+       "115      distal medullary amacrine neuron           None         None   \n",
+       "116      distal medullary amacrine neuron           None         None   \n",
+       "\n",
+       "    down_source down_accession  \n",
+       "0          None           None  \n",
+       "1          None           None  \n",
+       "2          None           None  \n",
+       "3          None           None  \n",
+       "4          None           None  \n",
+       "..          ...            ...  \n",
+       "112        None           None  \n",
+       "113        None           None  \n",
+       "114        None           None  \n",
+       "115        None           None  \n",
+       "116        None           None  \n",
+       "\n",
+       "[117 rows x 11 columns]"
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "vc.get_connected_neurons_by_type(upstream_type='Dm', downstream_type='Dm', weight=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "id": "5eba1f56-dafd-4dc8-8eea-347457a80482",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Consider adding query that => detailed MF profile of each Gene returned?\n",
+    "\n",
+    "q = vc.nc.commit_list([\"MATCH (c:Class:Neuron)<-[:composed_primarily_of]-(:Individual)-[:expresses]->(g:Gene:Glutamate_receptor)-[]->(go:Class) where go.curie =~ 'GO:.*' return distinct c.label as neuron, g.label as gene, collect(distinct go.label) as molecular_functions order by c.label\"])\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "id": "197141cc-30ea-40aa-b05f-01f0b06bb807",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>neuron</th>\n",
+       "      <th>gene</th>\n",
+       "      <th>molecular_functions</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>CCHamide-1 neuron</td>\n",
+       "      <td>Nmdar2</td>\n",
+       "      <td>[NMDA glutamate receptor activity, transmitter...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>CCHamide-1 neuron</td>\n",
+       "      <td>KaiR1D</td>\n",
+       "      <td>[transmitter-gated monoatomic ion channel acti...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>CCHamide-1 neuron</td>\n",
+       "      <td>GluClα</td>\n",
+       "      <td>[Group 3 - Selective Cl- transport, neurotrans...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>CCHamide-1 neuron</td>\n",
+       "      <td>Nmdar1</td>\n",
+       "      <td>[NMDA glutamate receptor activity, signaling r...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>CCHamide-1 neuron</td>\n",
+       "      <td>CG11155</td>\n",
+       "      <td>[Activation of highly calcium permeable postsy...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>702</th>\n",
+       "      <td>transmedullary neuron Tm9</td>\n",
+       "      <td>GluClα</td>\n",
+       "      <td>[Group 3 - Selective Cl- transport, neurotrans...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>703</th>\n",
+       "      <td>transmedullary neuron Tm9</td>\n",
+       "      <td>CG11155</td>\n",
+       "      <td>[Activation of highly calcium permeable postsy...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>704</th>\n",
+       "      <td>transmedullary neuron Tm9</td>\n",
+       "      <td>GluRIB</td>\n",
+       "      <td>[transmitter-gated monoatomic ion channel acti...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>705</th>\n",
+       "      <td>transmedullary neuron Tm9</td>\n",
+       "      <td>GluRIA</td>\n",
+       "      <td>[transmitter-gated monoatomic ion channel acti...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>706</th>\n",
+       "      <td>transmedullary neuron Tm9</td>\n",
+       "      <td>mGluR</td>\n",
+       "      <td>[group II metabotropic glutamate receptor acti...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>707 rows × 3 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                        neuron     gene  \\\n",
+       "0            CCHamide-1 neuron   Nmdar2   \n",
+       "1            CCHamide-1 neuron   KaiR1D   \n",
+       "2            CCHamide-1 neuron   GluClα   \n",
+       "3            CCHamide-1 neuron   Nmdar1   \n",
+       "4            CCHamide-1 neuron  CG11155   \n",
+       "..                         ...      ...   \n",
+       "702  transmedullary neuron Tm9   GluClα   \n",
+       "703  transmedullary neuron Tm9  CG11155   \n",
+       "704  transmedullary neuron Tm9   GluRIB   \n",
+       "705  transmedullary neuron Tm9   GluRIA   \n",
+       "706  transmedullary neuron Tm9    mGluR   \n",
+       "\n",
+       "                                   molecular_functions  \n",
+       "0    [NMDA glutamate receptor activity, transmitter...  \n",
+       "1    [transmitter-gated monoatomic ion channel acti...  \n",
+       "2    [Group 3 - Selective Cl- transport, neurotrans...  \n",
+       "3    [NMDA glutamate receptor activity, signaling r...  \n",
+       "4    [Activation of highly calcium permeable postsy...  \n",
+       "..                                                 ...  \n",
+       "702  [Group 3 - Selective Cl- transport, neurotrans...  \n",
+       "703  [Activation of highly calcium permeable postsy...  \n",
+       "704  [transmitter-gated monoatomic ion channel acti...  \n",
+       "705  [transmitter-gated monoatomic ion channel acti...  \n",
+       "706  [group II metabotropic glutamate receptor acti...  \n",
+       "\n",
+       "[707 rows x 3 columns]"
+      ]
+     },
+     "execution_count": 40,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from vfb_connect.neo.neo4j_tools import dict_cursor\n",
+    "import pandas as pd\n",
+    "pd.DataFrame.from_records(dict_cursor(q))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1d35e70e-eac5-4ea5-ae48-d602bd86c670",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Consider adding queries to => broader GO annotation profiles for receptors ==> broader biological story."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/snippets/NeuroFly24_scratch.ipynb b/snippets/NeuroFly24_scratch.ipynb
new file mode 100644
index 00000000..5a073601
--- /dev/null
+++ b/snippets/NeuroFly24_scratch.ipynb
@@ -0,0 +1,1196 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6abdb2a7-5a76-41b6-92d7-198fa932fc3b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "PROFILE MATCH (up:Class:Neuron)<-[:SUBCLASSOF|INSTANCEOF*..]-(n1:Neuron:Individual) WHERE up.short_form = \"FBbt_00111272\" MATCH (n1)-[r:synapsed_to]->(n2:Neuron:Individual) WHERE r.weight[0] >= 5 OPTIONAL MATCH (n2)-[:SUBCLASSOF|INSTANCEOF*..]->(down:Class:Neuron) WHERE down.short_form = \"FBbt_00005106\" OPTIONAL MATCH (c1:Class)<-[:INSTANCEOF]-(n1), (c2:Class)<-[:INSTANCEOF]-(n2) OPTIONAL MATCH (n1)-[r1:database_cross_reference]->(s1:Site) WHERE exists(s1.is_data_source) AND s1.is_data_source = True OPTIONAL MATCH (n2)-[r2:database_cross_reference]->(s2:Site) WHERE exists(s1.is_data_source) AND s2.is_data_source = True RETURN n1.short_form as upstream_neuron_id, n1.label as upstream_neuron_name, r.weight[0] as weight, n2.short_form as downstream_neuron_id, n2.label as downstream_neuron_name, apoc.text.join(collect(distinct c1.label),'|') AS upstream_class, apoc.text.join(collect(distinct c2.label),'|') as downstream_class, s1.short_form AS up_data_source, r1.accession[0] as up_accession,s2.short_form AS down_source, r2.accession[0] AS down_accession"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c6ba843e-22d0-4ae8-8508-ff08f322e152",
+   "metadata": {},
+   "source": [
+    "Query starting point:\n",
+    "\tCell Type:\n",
+    "\t\tIn which datasets can I find this cell type (might start from a synonym)\n",
+    "\tWhat is NT for this cell type.\n",
+    "\tNTR profiles of starting neuron\n",
+    "\tConnectivity query by type → Upstream/Downstream neurons\n",
+    "\tWhat NT do these have?  (Can we break this down by evidence?)\n",
+    "\tNTR profiles of downstream neurons corresponding to NT starting neuron \n",
+    "\tNTR profile of starting neuron corresponding to downstream neurons\n",
+    "\t\n",
+    "\tWhat motifs are users looking for?  Looking for feedback motifs?  E.g. excitatory → GABA ergic → feedback to starting excitatory neuron.\n",
+    "\n",
+    "\n",
+    " What's missing: Discovery query?  Find which neurons we have transcriptomic data for before proceeding?\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "e5d0f997-9ba4-4474-9cb8-fd1dc16b57ee",
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "ModuleNotFoundError",
+     "evalue": "No module named 'vfb_connect'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[1], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mvfb_connect\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mcross_server_tools\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m VfbConnect\n\u001b[1;32m      2\u001b[0m vc \u001b[38;5;241m=\u001b[39m VfbConnect()\n",
+      "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'vfb_connect'"
+     ]
+    }
+   ],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "79b73538-c858-4024-a017-59be3899f932",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Collecting vfb_connect\n",
+      "  Downloading vfb_connect-1.2.20-py3-none-any.whl (40 kB)\n",
+      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m40.3/40.3 kB\u001b[0m \u001b[31m3.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+      "\u001b[?25hRequirement already satisfied: requests in /Users/do12/Documents/GitHub/VFB_connect/venv/lib/python3.9/site-packages (from vfb_connect) (2.31.0)\n",
+      "Requirement already satisfied: pandas in /Users/do12/Documents/GitHub/VFB_connect/venv/lib/python3.9/site-packages (from vfb_connect) (2.1.0)\n",
+      "Requirement already satisfied: jsonpath-rw in /Users/do12/Documents/GitHub/VFB_connect/venv/lib/python3.9/site-packages (from vfb_connect) (1.4.0)\n",
+      "Requirement already satisfied: six in /Users/do12/Documents/GitHub/VFB_connect/venv/lib/python3.9/site-packages (from jsonpath-rw->vfb_connect) (1.16.0)\n",
+      "Requirement already satisfied: decorator in /Users/do12/Documents/GitHub/VFB_connect/venv/lib/python3.9/site-packages (from jsonpath-rw->vfb_connect) (5.1.1)\n",
+      "Requirement already satisfied: ply in /Users/do12/Documents/GitHub/VFB_connect/venv/lib/python3.9/site-packages (from jsonpath-rw->vfb_connect) (3.11)\n",
+      "Requirement already satisfied: python-dateutil>=2.8.2 in /Users/do12/Documents/GitHub/VFB_connect/venv/lib/python3.9/site-packages (from pandas->vfb_connect) (2.8.2)\n",
+      "Requirement already satisfied: tzdata>=2022.1 in /Users/do12/Documents/GitHub/VFB_connect/venv/lib/python3.9/site-packages (from pandas->vfb_connect) (2023.3)\n",
+      "Requirement already satisfied: numpy>=1.22.4 in /Users/do12/Documents/GitHub/VFB_connect/venv/lib/python3.9/site-packages (from pandas->vfb_connect) (1.25.2)\n",
+      "Requirement already satisfied: pytz>=2020.1 in /Users/do12/Documents/GitHub/VFB_connect/venv/lib/python3.9/site-packages (from pandas->vfb_connect) (2023.3.post1)\n",
+      "Requirement already satisfied: idna<4,>=2.5 in /Users/do12/Documents/GitHub/VFB_connect/venv/lib/python3.9/site-packages (from requests->vfb_connect) (3.4)\n",
+      "Requirement already satisfied: urllib3<3,>=1.21.1 in /Users/do12/Documents/GitHub/VFB_connect/venv/lib/python3.9/site-packages (from requests->vfb_connect) (2.0.4)\n",
+      "Requirement already satisfied: certifi>=2017.4.17 in /Users/do12/Documents/GitHub/VFB_connect/venv/lib/python3.9/site-packages (from requests->vfb_connect) (2023.7.22)\n",
+      "Requirement already satisfied: charset-normalizer<4,>=2 in /Users/do12/Documents/GitHub/VFB_connect/venv/lib/python3.9/site-packages (from requests->vfb_connect) (3.2.0)\n",
+      "Installing collected packages: vfb_connect\n",
+      "Successfully installed vfb_connect-1.2.20\n",
+      "\n",
+      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip available: \u001b[0m\u001b[31;49m22.3.1\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m24.2\u001b[0m\n",
+      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n"
+     ]
+    }
+   ],
+   "source": [
+    "!pip install vfb_connect"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "07853f0a-4b7d-4e0e-903a-a2daf53ec640",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/do12/Documents/GitHub/VFB_connect/venv/lib/python3.9/site-packages/urllib3/__init__.py:34: NotOpenSSLWarning: urllib3 v2.0 only supports OpenSSL 1.1.1+, currently the 'ssl' module is compiled with 'LibreSSL 2.8.3'. See: https://github.com/urllib3/urllib3/issues/3020\n",
+      "  warnings.warn(\n"
+     ]
+    }
+   ],
+   "source": [
+    "from vfb_connect.cross_server_tools import VfbConnect\n",
+    "vc = VfbConnect()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "0f5441cd-f550-4f30-9ed1-be73dd88f6f0",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[{'label': 'distal medullary amacrine neuron Dm9',\n",
+       "  'symbol': 'Dm9',\n",
+       "  'id': 'FBbt_00111271',\n",
+       "  'tags': 'Entity|Adult|Anatomy|Cell|Class|Glutamatergic|Nervous_system|Neuron|Visual_system|hasScRNAseq',\n",
+       "  'parents_label': 'Notch OFF hemilineage secondary neuron|adult glutamatergic neuron|distal medullary amacrine neuron',\n",
+       "  'parents_id': 'FBbt_00049542|FBbt_00058208|FBbt_00003767'}]"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Cell Type:\n",
+    "#\t\tIn which datasets can I find this cell type (might start from a synonym)\n",
+    "#\tWhat is NT for this cell type.\n",
+    "\n",
+    "# We can't start from a synonym right now.  Need to add a new lookup\n",
+    "# We can look at term info for an individual neuron\n",
+    "vc.neo_query_wrapper.get_type_TermInfo([vc.lookup_id('Dm9')], summary=True) \n",
+    "# Improvements: Make summary True by default. Support dataframe output by default for summary\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "dcf0e55a-fae0-41a3-8f6a-f377e160f4cc",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'Distal medullary wide-field amacrine neuron with arbors that span multiple columns in layers M1 and M6A and columnar processes between these two layers. The processes in M2 and M5 occupy a central column position and are closely associated with R7 and R8 photoreceptor axons, covering around 7 columns. There are around 110 Dm9 neurons per hemisphere. They are glutamatergic (Davis et al., 2020).'"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# From this we can see that this type is glutamatergic.  For whey we can look at description (although notes \n",
+    "#- in some cases the infor might be on a superclass)\n",
+    "vc.neo_query_wrapper.get_type_TermInfo([vc.lookup_id('Dm9')])[0]['term']['description'][0]\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "4753fc75-4801-42b3-bbf4-df5bb614b3d7",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[{'core': {'symbol': '',\n",
+       "   'iri': 'http://flybase.org/reports/FBrf0228639',\n",
+       "   'types': ['Entity', 'Individual', 'pub'],\n",
+       "   'short_form': 'FBrf0228639',\n",
+       "   'unique_facets': ['pub'],\n",
+       "   'label': 'Nern et al., 2015, Proc. Natl. Acad. Sci. U.S.A. 112(22): E2967--E2976'},\n",
+       "  'FlyBase': 'FBrf0228639',\n",
+       "  'PubMed': '25964354',\n",
+       "  'DOI': '10.1073/pnas.1506763112'},\n",
+       " {'core': {'symbol': '',\n",
+       "   'iri': 'http://flybase.org/reports/FBrf0244935',\n",
+       "   'types': ['Entity', 'Individual', 'pub'],\n",
+       "   'short_form': 'FBrf0244935',\n",
+       "   'unique_facets': ['pub'],\n",
+       "   'label': 'Davis et al., 2020, eLife 9: e50901'},\n",
+       "  'FlyBase': 'FBrf0244935',\n",
+       "  'PubMed': '31939737',\n",
+       "  'DOI': '10.7554/eLife.50901'},\n",
+       " {'core': {'symbol': '',\n",
+       "   'iri': 'http://flybase.org/reports/FBrf0222324',\n",
+       "   'types': ['Entity', 'Individual', 'pub'],\n",
+       "   'short_form': 'FBrf0222324',\n",
+       "   'unique_facets': ['pub'],\n",
+       "   'label': 'Takemura et al., 2013, Nature 500(7461): 175--181'},\n",
+       "  'FlyBase': 'FBrf0222324',\n",
+       "  'PubMed': '23925240',\n",
+       "  'DOI': '10.1038/nature12450'},\n",
+       " {'core': {'symbol': '',\n",
+       "   'iri': 'http://flybase.org/reports/FBrf0252485',\n",
+       "   'types': ['Entity', 'Individual', 'pub'],\n",
+       "   'short_form': 'FBrf0252485',\n",
+       "   'unique_facets': ['pub'],\n",
+       "   'label': 'Kind et al., 2021, eLife 10: e71858'},\n",
+       "  'FlyBase': 'FBrf0252485',\n",
+       "  'PubMed': '34913436',\n",
+       "  'DOI': '10.7554/eLife.71858'}]"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "vc.neo_query_wrapper.get_type_TermInfo([vc.lookup_id('Dm9')])[0]['def_pubs']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "438cb783-c5ef-4c7d-a061-064176c7624b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Supporting ref = label': 'Davis et al., 2020, eLife 9: e50901'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "3175ccf6-7a1a-49fc-a10e-cc8ea6932d3d",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>upstream_neuron_id</th>\n",
+       "      <th>upstream_neuron_name</th>\n",
+       "      <th>weight</th>\n",
+       "      <th>downstream_neuron_id</th>\n",
+       "      <th>downstream_neuron_name</th>\n",
+       "      <th>upstream_class</th>\n",
+       "      <th>downstream_class</th>\n",
+       "      <th>up_data_source</th>\n",
+       "      <th>up_accession</th>\n",
+       "      <th>down_source</th>\n",
+       "      <th>down_accession</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>VFB_001029fa</td>\n",
+       "      <td>Dm9#7 (FAFB:11916195)</td>\n",
+       "      <td>2</td>\n",
+       "      <td>VFB_001029fc</td>\n",
+       "      <td>Dm2#7 (FAFB:11918130)</td>\n",
+       "      <td>distal medullary amacrine neuron Dm9</td>\n",
+       "      <td>distal medullary amacrine neuron Dm2</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>VFB_001029c5</td>\n",
+       "      <td>Dm9#2 (FAFB:11447061)</td>\n",
+       "      <td>4</td>\n",
+       "      <td>VFB_001029ai</td>\n",
+       "      <td>Dm8#4 (FAFB:10208775)</td>\n",
+       "      <td>distal medullary amacrine neuron Dm9</td>\n",
+       "      <td>distal medullary amacrine neuron Dm8</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>VFB_001029cr</td>\n",
+       "      <td>Dm9#1 (FAFB:11452427)</td>\n",
+       "      <td>2</td>\n",
+       "      <td>VFB_001029ai</td>\n",
+       "      <td>Dm8#4 (FAFB:10208775)</td>\n",
+       "      <td>distal medullary amacrine neuron Dm9</td>\n",
+       "      <td>distal medullary amacrine neuron Dm8</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>VFB_001029c5</td>\n",
+       "      <td>Dm9#2 (FAFB:11447061)</td>\n",
+       "      <td>3</td>\n",
+       "      <td>VFB_001029ae</td>\n",
+       "      <td>Dm8#1 (FAFB:10109586)</td>\n",
+       "      <td>distal medullary amacrine neuron Dm9</td>\n",
+       "      <td>distal medullary amacrine neuron Dm8</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>VFB_001029bq</td>\n",
+       "      <td>Dm9#9 (FAFB:10657500)</td>\n",
+       "      <td>2</td>\n",
+       "      <td>VFB_001029as</td>\n",
+       "      <td>Dm-DRA2#1 (FAFB:10411788)</td>\n",
+       "      <td>distal medullary amacrine neuron Dm9</td>\n",
+       "      <td>distal medullary amacrine neuron Dm-DRA2</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "  upstream_neuron_id   upstream_neuron_name  weight downstream_neuron_id  \\\n",
+       "0       VFB_001029fa  Dm9#7 (FAFB:11916195)       2         VFB_001029fc   \n",
+       "1       VFB_001029c5  Dm9#2 (FAFB:11447061)       4         VFB_001029ai   \n",
+       "2       VFB_001029cr  Dm9#1 (FAFB:11452427)       2         VFB_001029ai   \n",
+       "3       VFB_001029c5  Dm9#2 (FAFB:11447061)       3         VFB_001029ae   \n",
+       "4       VFB_001029bq  Dm9#9 (FAFB:10657500)       2         VFB_001029as   \n",
+       "\n",
+       "      downstream_neuron_name                        upstream_class  \\\n",
+       "0      Dm2#7 (FAFB:11918130)  distal medullary amacrine neuron Dm9   \n",
+       "1      Dm8#4 (FAFB:10208775)  distal medullary amacrine neuron Dm9   \n",
+       "2      Dm8#4 (FAFB:10208775)  distal medullary amacrine neuron Dm9   \n",
+       "3      Dm8#1 (FAFB:10109586)  distal medullary amacrine neuron Dm9   \n",
+       "4  Dm-DRA2#1 (FAFB:10411788)  distal medullary amacrine neuron Dm9   \n",
+       "\n",
+       "                           downstream_class up_data_source up_accession  \\\n",
+       "0      distal medullary amacrine neuron Dm2           None         None   \n",
+       "1      distal medullary amacrine neuron Dm8           None         None   \n",
+       "2      distal medullary amacrine neuron Dm8           None         None   \n",
+       "3      distal medullary amacrine neuron Dm8           None         None   \n",
+       "4  distal medullary amacrine neuron Dm-DRA2           None         None   \n",
+       "\n",
+       "  down_source down_accession  \n",
+       "0        None           None  \n",
+       "1        None           None  \n",
+       "2        None           None  \n",
+       "3        None           None  \n",
+       "4        None           None  "
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "vc.get_connected_neurons_by_type(upstream_type='Dm9', downstream_type='Dm', weight=1) # Note "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ba843645-d3dc-4e5d-a14f-42322b8874bc",
+   "metadata": {},
+   "source": [
+    "# Notes - \n",
+    "\n",
+    "* we have a problem with queries running indefinitely when we go above Dm as downstream neuron type.\n",
+    "   * We could deal with this for the most general use-case  - Neuron by making all args optional but failing if at least one of upstream or downstream are filled.  There's no need to query up to neuron because we know this form the Semantic tag\n",
+    "* Need to fix typ on in data source return\n",
+    "   `                        \"WHERE exists(s1.is_data_source) AND s2.is_data_source = True \" \\`\n",
+    "  -->\n",
+    "  `                        \"WHERE exists(s2.is_data_source) AND s2.is_data_source = True \" \\`\n",
+    "\n",
+    "With the second fixed we will return datasets - BUT the dataset names are really not easy to understand.  THIS NEEDS TO BE FIXED. There has already been some work on this to add SYMBOLS.  We need to be returning these in queries!"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "28bba6ea-945d-4124-950b-d78f41f36b34",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# \tNTR profiles of downstream neurons corresponding to NT starting neuron \n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "f98eacb7-c359-4439-b9e7-6169f828b0a9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Dm9 downstream types\n",
+    "dm9_ds_type= set(vc.get_connected_neurons_by_type(upstream_type='Dm9', downstream_type='Dm', weight=1)['downstream_class'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "id": "ec1972a4-c388-4901-a61f-4ad91908e42a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'distal medullary amacrine neuron Dm-DRA2',\n",
+       " 'distal medullary amacrine neuron Dm2',\n",
+       " 'distal medullary amacrine neuron Dm8'}"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dm9_ds_type"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "id": "8fd4b430-edc9-434d-ab12-999ffc3e5614",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['Acetylcholine_receptor',\n",
+       " 'Calcium_binding',\n",
+       " 'Carbohydrate_binding',\n",
+       " 'Chaperone',\n",
+       " 'Cytoskeleton_binding',\n",
+       " 'DNA_binding',\n",
+       " 'Dopamine_receptor',\n",
+       " 'Enzyme',\n",
+       " 'GABA_receptor',\n",
+       " 'GPCR',\n",
+       " 'Glutamate_receptor',\n",
+       " 'Gustatory_receptor',\n",
+       " 'Histamine_receptor',\n",
+       " 'Hormone',\n",
+       " 'Ion_channel',\n",
+       " 'Ligand',\n",
+       " 'Lipid_binding',\n",
+       " 'Mechanosensory_ion_channel',\n",
+       " 'Metal_ion_binding',\n",
+       " 'Neuropeptide',\n",
+       " 'Neurotransmitter_receptor',\n",
+       " 'Octopamine_receptor',\n",
+       " 'Odorant_binding',\n",
+       " 'Olfactory_receptor',\n",
+       " 'Peptide_or_protein_hormone_receptor',\n",
+       " 'Photoreceptor',\n",
+       " 'RNA_binding',\n",
+       " 'Receptor',\n",
+       " 'Regulator',\n",
+       " 'Serotonin_receptor',\n",
+       " 'Small_molecule_binding',\n",
+       " 'Structural_molecule',\n",
+       " 'Thermosensory_ion_channel',\n",
+       " 'Transcription_factor',\n",
+       " 'Transporter',\n",
+       " 'Tyramine_receptor']"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "vc.get_gene_function_filters()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "49ee182c-29f8-4a5a-b439-47ed1297db34",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "\u001b[0;31mSignature:\u001b[0m\n",
+       "\u001b[0mvc\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_transcriptomic_profile\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m    \u001b[0mcell_type\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m    \u001b[0mgene_type\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m    \u001b[0mreturn_dataframe\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+       "\u001b[0;31mDocstring:\u001b[0m\n",
+       "Get gene expression data for a given cell_type.\n",
+       "\n",
+       "Returns a DataFrame of gene expression data for clusters of cells annotated as cell_type (or subtypes).\n",
+       "Can optionally restrict to a gene_type - these can be retrieved by running get_gene_function_filters.\n",
+       "If no data is found, returns False.\n",
+       "\n",
+       ":param cell_type: The ID, name or symbol of a class in the Drosophila Anatomy Ontology (FBbt).\n",
+       ":param gene_type: Optional. A gene function label - these can be retrieved by running get_gene_function_filters().\n",
+       ":return: DataFrame with gene expression data for clusters of cells annotated as cell_type (or subtypes).\n",
+       ":rtype: DataFrame\n",
+       "\u001b[0;31mFile:\u001b[0m      ~/Documents/GitHub/VFB_connect/venv/lib/python3.9/site-packages/vfb_connect/cross_server_tools.py\n",
+       "\u001b[0;31mType:\u001b[0m      method"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "vc.get_transcriptomic_profile?\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "074296ba-829c-42e1-9b3f-228f4c75acf5",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "id": "5b81af15-8d97-4400-b666-f2b2c48b00ea",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Getting transcriptomic profile for distal medullary amacrine neuron Dm-DRA2\n",
+      "Empty DataFrame\n",
+      "Columns: []\n",
+      "Index: []\n",
+      "Getting transcriptomic profile for distal medullary amacrine neuron Dm2\n",
+      "                              cell_type   cell_type_id sample_sex  \\\n",
+      "0  distal medullary amacrine neuron Dm2  FBbt_00003769       None   \n",
+      "1  distal medullary amacrine neuron Dm2  FBbt_00003769       None   \n",
+      "\n",
+      "        sample_tissue                                          ref    gene  \\\n",
+      "0  [adult optic lobe]  Özel et al., 2021, Nature 589(7840): 88--95  GluClα   \n",
+      "1  [adult optic lobe]  Özel et al., 2021, Nature 589(7840): 88--95  GluRIB   \n",
+      "\n",
+      "       gene_id                                           function    extent  \\\n",
+      "0  FBgn0024963  [Receptor, Neurotransmitter_receptor, Ion_chan...  0.451883   \n",
+      "1  FBgn0264000  [Receptor, Neurotransmitter_receptor, Ion_chan...  0.305439   \n",
+      "\n",
+      "       level  \n",
+      "0  1098.2018  \n",
+      "1  1094.0442  \n",
+      "Getting transcriptomic profile for distal medullary amacrine neuron Dm8\n",
+      "                               cell_type   cell_type_id       sample_sex  \\\n",
+      "0   distal medullary amacrine neuron Dm8  FBbt_00013774    male organism   \n",
+      "1   distal medullary amacrine neuron Dm8  FBbt_00013774             None   \n",
+      "2   distal medullary amacrine neuron Dm8  FBbt_00013774  female organism   \n",
+      "3   distal medullary amacrine neuron Dm8  FBbt_00013774             None   \n",
+      "4   distal medullary amacrine neuron Dm8  FBbt_00013774    male organism   \n",
+      "5   distal medullary amacrine neuron Dm8  FBbt_00013774             None   \n",
+      "6   distal medullary amacrine neuron Dm8  FBbt_00013774  female organism   \n",
+      "7   distal medullary amacrine neuron Dm8  FBbt_00013774  female organism   \n",
+      "8   distal medullary amacrine neuron Dm8  FBbt_00013774             None   \n",
+      "9   distal medullary amacrine neuron Dm8  FBbt_00013774  female organism   \n",
+      "10  distal medullary amacrine neuron Dm8  FBbt_00013774    male organism   \n",
+      "\n",
+      "                                        sample_tissue  \\\n",
+      "0   [wing, haltere, adult, adult pars intercerebra...   \n",
+      "1   [adult head, proboscis, male reproductive syst...   \n",
+      "2   [adult head, adult corpus cardiacum, antenna, ...   \n",
+      "3                                  [adult optic lobe]   \n",
+      "4   [wing, haltere, adult, adult pars intercerebra...   \n",
+      "5   [adult head, proboscis, male reproductive syst...   \n",
+      "6   [adult head, adult corpus cardiacum, antenna, ...   \n",
+      "7   [adult head, adult corpus cardiacum, antenna, ...   \n",
+      "8   [adult head, proboscis, male reproductive syst...   \n",
+      "9   [adult head, adult corpus cardiacum, antenna, ...   \n",
+      "10  [wing, haltere, adult, adult pars intercerebra...   \n",
+      "\n",
+      "                                             ref     gene      gene_id  \\\n",
+      "0   Li et al., 2022, Science 375(6584): eabk2432  CG11155  FBgn0039927   \n",
+      "1   Li et al., 2022, Science 375(6584): eabk2432  CG11155  FBgn0039927   \n",
+      "2   Li et al., 2022, Science 375(6584): eabk2432  CG11155  FBgn0039927   \n",
+      "3    Özel et al., 2021, Nature 589(7840): 88--95  CG11155  FBgn0039927   \n",
+      "4   Li et al., 2022, Science 375(6584): eabk2432   GluClα  FBgn0024963   \n",
+      "5   Li et al., 2022, Science 375(6584): eabk2432   GluClα  FBgn0024963   \n",
+      "6   Li et al., 2022, Science 375(6584): eabk2432   GluClα  FBgn0024963   \n",
+      "7   Li et al., 2022, Science 375(6584): eabk2432   GluRIB  FBgn0264000   \n",
+      "8   Li et al., 2022, Science 375(6584): eabk2432   Nmdar2  FBgn0053513   \n",
+      "9   Li et al., 2022, Science 375(6584): eabk2432   Nmdar2  FBgn0053513   \n",
+      "10  Li et al., 2022, Science 375(6584): eabk2432    mGluR  FBgn0019985   \n",
+      "\n",
+      "                                             function    extent       level  \n",
+      "0   [Receptor, Ion_channel, Transporter, Glutamate...  0.720000  1700.67880  \n",
+      "1   [Receptor, Ion_channel, Transporter, Glutamate...  0.633803  1543.74290  \n",
+      "2   [Receptor, Ion_channel, Transporter, Glutamate...  0.482759  1349.29880  \n",
+      "3   [Receptor, Ion_channel, Transporter, Glutamate...  0.226744   740.19415  \n",
+      "4   [Receptor, Neurotransmitter_receptor, Ion_chan...  0.720000  1534.37680  \n",
+      "5   [Receptor, Neurotransmitter_receptor, Ion_chan...  0.492958  1564.11840  \n",
+      "6   [Receptor, Neurotransmitter_receptor, Ion_chan...  0.517241  1685.25260  \n",
+      "7   [Receptor, Neurotransmitter_receptor, Ion_chan...  0.241379   848.22955  \n",
+      "8   [Receptor, Neurotransmitter_receptor, Ion_chan...  0.225352  1295.88900  \n",
+      "9   [Receptor, Neurotransmitter_receptor, Ion_chan...  0.206897  1154.15540  \n",
+      "10  [Small_molecule_binding, Receptor, GPCR, Lipid...  0.240000   968.85333  \n"
+     ]
+    }
+   ],
+   "source": [
+    "for t in dm9_ds_type:\n",
+    "    print(\"Getting transcriptomic profile for \" + t)\n",
+    "    print(vc.get_transcriptomic_profile(t, gene_type='Glutamate_receptor'))\n",
+    "    "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "id": "fdc6c493-7955-4feb-9200-31eeaf42239f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>cell_type</th>\n",
+       "      <th>cell_type_id</th>\n",
+       "      <th>sample_sex</th>\n",
+       "      <th>sample_tissue</th>\n",
+       "      <th>ref</th>\n",
+       "      <th>gene</th>\n",
+       "      <th>gene_id</th>\n",
+       "      <th>function</th>\n",
+       "      <th>extent</th>\n",
+       "      <th>level</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>distal medullary amacrine neuron Dm2</td>\n",
+       "      <td>FBbt_00003769</td>\n",
+       "      <td>None</td>\n",
+       "      <td>[adult optic lobe]</td>\n",
+       "      <td>Özel et al., 2021, Nature 589(7840): 88--95</td>\n",
+       "      <td>GluClα</td>\n",
+       "      <td>FBgn0024963</td>\n",
+       "      <td>[Receptor, Neurotransmitter_receptor, Ion_chan...</td>\n",
+       "      <td>0.451883</td>\n",
+       "      <td>1098.2018</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>distal medullary amacrine neuron Dm2</td>\n",
+       "      <td>FBbt_00003769</td>\n",
+       "      <td>None</td>\n",
+       "      <td>[adult optic lobe]</td>\n",
+       "      <td>Özel et al., 2021, Nature 589(7840): 88--95</td>\n",
+       "      <td>GluRIB</td>\n",
+       "      <td>FBgn0264000</td>\n",
+       "      <td>[Receptor, Neurotransmitter_receptor, Ion_chan...</td>\n",
+       "      <td>0.305439</td>\n",
+       "      <td>1094.0442</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                              cell_type   cell_type_id sample_sex  \\\n",
+       "0  distal medullary amacrine neuron Dm2  FBbt_00003769       None   \n",
+       "1  distal medullary amacrine neuron Dm2  FBbt_00003769       None   \n",
+       "\n",
+       "        sample_tissue                                          ref    gene  \\\n",
+       "0  [adult optic lobe]  Özel et al., 2021, Nature 589(7840): 88--95  GluClα   \n",
+       "1  [adult optic lobe]  Özel et al., 2021, Nature 589(7840): 88--95  GluRIB   \n",
+       "\n",
+       "       gene_id                                           function    extent  \\\n",
+       "0  FBgn0024963  [Receptor, Neurotransmitter_receptor, Ion_chan...  0.451883   \n",
+       "1  FBgn0264000  [Receptor, Neurotransmitter_receptor, Ion_chan...  0.305439   \n",
+       "\n",
+       "       level  \n",
+       "0  1098.2018  \n",
+       "1  1094.0442  "
+      ]
+     },
+     "execution_count": 31,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "vc.get_transcriptomic_profile('Dm2', gene_type='Glutamate_receptor')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "id": "5b08def5-58f1-45ee-ab96-01594e3e705b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>upstream_neuron_id</th>\n",
+       "      <th>upstream_neuron_name</th>\n",
+       "      <th>weight</th>\n",
+       "      <th>downstream_neuron_id</th>\n",
+       "      <th>downstream_neuron_name</th>\n",
+       "      <th>upstream_class</th>\n",
+       "      <th>downstream_class</th>\n",
+       "      <th>up_data_source</th>\n",
+       "      <th>up_accession</th>\n",
+       "      <th>down_source</th>\n",
+       "      <th>down_accession</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>VFB_001029ai</td>\n",
+       "      <td>Dm8#4 (FAFB:10208775)</td>\n",
+       "      <td>22</td>\n",
+       "      <td>VFB_001029cr</td>\n",
+       "      <td>Dm9#1 (FAFB:11452427)</td>\n",
+       "      <td>distal medullary amacrine neuron Dm8</td>\n",
+       "      <td>distal medullary amacrine neuron Dm9</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>VFB_001029ae</td>\n",
+       "      <td>Dm8#1 (FAFB:10109586)</td>\n",
+       "      <td>23</td>\n",
+       "      <td>VFB_001029cr</td>\n",
+       "      <td>Dm9#1 (FAFB:11452427)</td>\n",
+       "      <td>distal medullary amacrine neuron Dm8</td>\n",
+       "      <td>distal medullary amacrine neuron Dm9</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>VFB_001029ae</td>\n",
+       "      <td>Dm8#1 (FAFB:10109586)</td>\n",
+       "      <td>7</td>\n",
+       "      <td>VFB_001029ee</td>\n",
+       "      <td>Dm9#4 (FAFB:11484679)</td>\n",
+       "      <td>distal medullary amacrine neuron Dm8</td>\n",
+       "      <td>distal medullary amacrine neuron Dm9</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>VFB_001029ah</td>\n",
+       "      <td>Dm8#11 (FAFB:10196189)</td>\n",
+       "      <td>8</td>\n",
+       "      <td>VFB_001029ee</td>\n",
+       "      <td>Dm9#4 (FAFB:11484679)</td>\n",
+       "      <td>distal medullary amacrine neuron Dm8</td>\n",
+       "      <td>distal medullary amacrine neuron Dm9</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>VFB_001029ah</td>\n",
+       "      <td>Dm8#11 (FAFB:10196189)</td>\n",
+       "      <td>3</td>\n",
+       "      <td>VFB_001029c5</td>\n",
+       "      <td>Dm9#2 (FAFB:11447061)</td>\n",
+       "      <td>distal medullary amacrine neuron Dm8</td>\n",
+       "      <td>distal medullary amacrine neuron Dm9</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>112</th>\n",
+       "      <td>VFB_001029ah</td>\n",
+       "      <td>Dm8#11 (FAFB:10196189)</td>\n",
+       "      <td>2</td>\n",
+       "      <td>VFB_001029b7</td>\n",
+       "      <td>Dm#9 (FAFB:10537970)</td>\n",
+       "      <td>distal medullary amacrine neuron Dm8</td>\n",
+       "      <td>distal medullary amacrine neuron</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>113</th>\n",
+       "      <td>VFB_001029cl</td>\n",
+       "      <td>Dm11#1 (FAFB:11450453)</td>\n",
+       "      <td>2</td>\n",
+       "      <td>VFB_001029b7</td>\n",
+       "      <td>Dm#9 (FAFB:10537970)</td>\n",
+       "      <td>distal medullary amacrine neuron Dm11</td>\n",
+       "      <td>distal medullary amacrine neuron</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>114</th>\n",
+       "      <td>VFB_001029ce</td>\n",
+       "      <td>Dm2#1 (FAFB:11448822)</td>\n",
+       "      <td>2</td>\n",
+       "      <td>VFB_001029b7</td>\n",
+       "      <td>Dm#9 (FAFB:10537970)</td>\n",
+       "      <td>distal medullary amacrine neuron Dm2</td>\n",
+       "      <td>distal medullary amacrine neuron</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>115</th>\n",
+       "      <td>VFB_001029ae</td>\n",
+       "      <td>Dm8#1 (FAFB:10109586)</td>\n",
+       "      <td>11</td>\n",
+       "      <td>VFB_001029cg</td>\n",
+       "      <td>Dm#2 (FAFB:11448962)</td>\n",
+       "      <td>distal medullary amacrine neuron Dm8</td>\n",
+       "      <td>distal medullary amacrine neuron</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>116</th>\n",
+       "      <td>VFB_001029ah</td>\n",
+       "      <td>Dm8#11 (FAFB:10196189)</td>\n",
+       "      <td>5</td>\n",
+       "      <td>VFB_001029cg</td>\n",
+       "      <td>Dm#2 (FAFB:11448962)</td>\n",
+       "      <td>distal medullary amacrine neuron Dm8</td>\n",
+       "      <td>distal medullary amacrine neuron</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>117 rows × 11 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    upstream_neuron_id    upstream_neuron_name  weight downstream_neuron_id  \\\n",
+       "0         VFB_001029ai   Dm8#4 (FAFB:10208775)      22         VFB_001029cr   \n",
+       "1         VFB_001029ae   Dm8#1 (FAFB:10109586)      23         VFB_001029cr   \n",
+       "2         VFB_001029ae   Dm8#1 (FAFB:10109586)       7         VFB_001029ee   \n",
+       "3         VFB_001029ah  Dm8#11 (FAFB:10196189)       8         VFB_001029ee   \n",
+       "4         VFB_001029ah  Dm8#11 (FAFB:10196189)       3         VFB_001029c5   \n",
+       "..                 ...                     ...     ...                  ...   \n",
+       "112       VFB_001029ah  Dm8#11 (FAFB:10196189)       2         VFB_001029b7   \n",
+       "113       VFB_001029cl  Dm11#1 (FAFB:11450453)       2         VFB_001029b7   \n",
+       "114       VFB_001029ce   Dm2#1 (FAFB:11448822)       2         VFB_001029b7   \n",
+       "115       VFB_001029ae   Dm8#1 (FAFB:10109586)      11         VFB_001029cg   \n",
+       "116       VFB_001029ah  Dm8#11 (FAFB:10196189)       5         VFB_001029cg   \n",
+       "\n",
+       "    downstream_neuron_name                         upstream_class  \\\n",
+       "0    Dm9#1 (FAFB:11452427)   distal medullary amacrine neuron Dm8   \n",
+       "1    Dm9#1 (FAFB:11452427)   distal medullary amacrine neuron Dm8   \n",
+       "2    Dm9#4 (FAFB:11484679)   distal medullary amacrine neuron Dm8   \n",
+       "3    Dm9#4 (FAFB:11484679)   distal medullary amacrine neuron Dm8   \n",
+       "4    Dm9#2 (FAFB:11447061)   distal medullary amacrine neuron Dm8   \n",
+       "..                     ...                                    ...   \n",
+       "112   Dm#9 (FAFB:10537970)   distal medullary amacrine neuron Dm8   \n",
+       "113   Dm#9 (FAFB:10537970)  distal medullary amacrine neuron Dm11   \n",
+       "114   Dm#9 (FAFB:10537970)   distal medullary amacrine neuron Dm2   \n",
+       "115   Dm#2 (FAFB:11448962)   distal medullary amacrine neuron Dm8   \n",
+       "116   Dm#2 (FAFB:11448962)   distal medullary amacrine neuron Dm8   \n",
+       "\n",
+       "                         downstream_class up_data_source up_accession  \\\n",
+       "0    distal medullary amacrine neuron Dm9           None         None   \n",
+       "1    distal medullary amacrine neuron Dm9           None         None   \n",
+       "2    distal medullary amacrine neuron Dm9           None         None   \n",
+       "3    distal medullary amacrine neuron Dm9           None         None   \n",
+       "4    distal medullary amacrine neuron Dm9           None         None   \n",
+       "..                                    ...            ...          ...   \n",
+       "112      distal medullary amacrine neuron           None         None   \n",
+       "113      distal medullary amacrine neuron           None         None   \n",
+       "114      distal medullary amacrine neuron           None         None   \n",
+       "115      distal medullary amacrine neuron           None         None   \n",
+       "116      distal medullary amacrine neuron           None         None   \n",
+       "\n",
+       "    down_source down_accession  \n",
+       "0          None           None  \n",
+       "1          None           None  \n",
+       "2          None           None  \n",
+       "3          None           None  \n",
+       "4          None           None  \n",
+       "..          ...            ...  \n",
+       "112        None           None  \n",
+       "113        None           None  \n",
+       "114        None           None  \n",
+       "115        None           None  \n",
+       "116        None           None  \n",
+       "\n",
+       "[117 rows x 11 columns]"
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "vc.get_connected_neurons_by_type(upstream_type='Dm', downstream_type='Dm', weight=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "id": "5eba1f56-dafd-4dc8-8eea-347457a80482",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Consider adding query that => detailed MF profile of each Gene returned?\n",
+    "\n",
+    "q = vc.nc.commit_list([\"MATCH (c:Class:Neuron)<-[:composed_primarily_of]-(:Individual)-[:expresses]->(g:Gene:Glutamate_receptor)-[]->(go:Class) where go.curie =~ 'GO:.*' return distinct c.label as neuron, g.label as gene, collect(distinct go.label) as molecular_functions order by c.label\"])\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "id": "197141cc-30ea-40aa-b05f-01f0b06bb807",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>neuron</th>\n",
+       "      <th>gene</th>\n",
+       "      <th>molecular_functions</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>CCHamide-1 neuron</td>\n",
+       "      <td>Nmdar2</td>\n",
+       "      <td>[NMDA glutamate receptor activity, transmitter...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>CCHamide-1 neuron</td>\n",
+       "      <td>KaiR1D</td>\n",
+       "      <td>[transmitter-gated monoatomic ion channel acti...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>CCHamide-1 neuron</td>\n",
+       "      <td>GluClα</td>\n",
+       "      <td>[Group 3 - Selective Cl- transport, neurotrans...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>CCHamide-1 neuron</td>\n",
+       "      <td>Nmdar1</td>\n",
+       "      <td>[NMDA glutamate receptor activity, signaling r...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>CCHamide-1 neuron</td>\n",
+       "      <td>CG11155</td>\n",
+       "      <td>[Activation of highly calcium permeable postsy...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>702</th>\n",
+       "      <td>transmedullary neuron Tm9</td>\n",
+       "      <td>GluClα</td>\n",
+       "      <td>[Group 3 - Selective Cl- transport, neurotrans...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>703</th>\n",
+       "      <td>transmedullary neuron Tm9</td>\n",
+       "      <td>CG11155</td>\n",
+       "      <td>[Activation of highly calcium permeable postsy...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>704</th>\n",
+       "      <td>transmedullary neuron Tm9</td>\n",
+       "      <td>GluRIB</td>\n",
+       "      <td>[transmitter-gated monoatomic ion channel acti...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>705</th>\n",
+       "      <td>transmedullary neuron Tm9</td>\n",
+       "      <td>GluRIA</td>\n",
+       "      <td>[transmitter-gated monoatomic ion channel acti...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>706</th>\n",
+       "      <td>transmedullary neuron Tm9</td>\n",
+       "      <td>mGluR</td>\n",
+       "      <td>[group II metabotropic glutamate receptor acti...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>707 rows × 3 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                        neuron     gene  \\\n",
+       "0            CCHamide-1 neuron   Nmdar2   \n",
+       "1            CCHamide-1 neuron   KaiR1D   \n",
+       "2            CCHamide-1 neuron   GluClα   \n",
+       "3            CCHamide-1 neuron   Nmdar1   \n",
+       "4            CCHamide-1 neuron  CG11155   \n",
+       "..                         ...      ...   \n",
+       "702  transmedullary neuron Tm9   GluClα   \n",
+       "703  transmedullary neuron Tm9  CG11155   \n",
+       "704  transmedullary neuron Tm9   GluRIB   \n",
+       "705  transmedullary neuron Tm9   GluRIA   \n",
+       "706  transmedullary neuron Tm9    mGluR   \n",
+       "\n",
+       "                                   molecular_functions  \n",
+       "0    [NMDA glutamate receptor activity, transmitter...  \n",
+       "1    [transmitter-gated monoatomic ion channel acti...  \n",
+       "2    [Group 3 - Selective Cl- transport, neurotrans...  \n",
+       "3    [NMDA glutamate receptor activity, signaling r...  \n",
+       "4    [Activation of highly calcium permeable postsy...  \n",
+       "..                                                 ...  \n",
+       "702  [Group 3 - Selective Cl- transport, neurotrans...  \n",
+       "703  [Activation of highly calcium permeable postsy...  \n",
+       "704  [transmitter-gated monoatomic ion channel acti...  \n",
+       "705  [transmitter-gated monoatomic ion channel acti...  \n",
+       "706  [group II metabotropic glutamate receptor acti...  \n",
+       "\n",
+       "[707 rows x 3 columns]"
+      ]
+     },
+     "execution_count": 40,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from vfb_connect.neo.neo4j_tools import dict_cursor\n",
+    "import pandas as pd\n",
+    "pd.DataFrame.from_records(dict_cursor(q))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1d35e70e-eac5-4ea5-ae48-d602bd86c670",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Consider adding queries to => broader GO annotation profiles for receptors ==> broader biological story."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}