Skip to content

Commit

Permalink
Merge pull request #5 from ncihtan/st-update
Browse files Browse the repository at this point in the history
Generalize spatial_transcriptomics.md
  • Loading branch information
vthorsson authored Jul 14, 2023
2 parents b3bb648 + 8bbcc8c commit 8ac18e0
Showing 1 changed file with 9 additions and 8 deletions.
17 changes: 9 additions & 8 deletions data_model/spatial_transcriptomics.md
Original file line number Diff line number Diff line change
Expand Up @@ -4,16 +4,17 @@ order: 994

# Spatial Transcriptomics

The HTAN data model for spatial transcriptomics data is based upon the both imaging and single cell sequencing data models. These form a collection of metadata fields where transcriptomic levels (or gene or protein level measures) can be mapped to locations on a tissue slide and were developed in consultation with the data generating centers who are both experts in imaging metadata (e.g., DICOM and OME) and multiple large-scale atlas projects.
The HTAN data model for spatial transcriptomics data is based upon both imaging and single cell sequencing data models. These form a collection of metadata fields where transcriptomic levels (or gene or protein level measures) can be mapped to locations on a tissue slide, and were developed in consultation with the data generating centers who are both experts in imaging metadata (e.g. DICOM and OME) and multiple large-scale atlas projects.

For further information on spatial transcriptomics see the [10X guide on ST](https://www.10xgenomics.com/spatial-transcriptomics). The HTAN data model for spatial transcriptomics was intended initially for 10X Visium, but in the near future more platforms will be supported including Nanostring GeoMX, Pick-Seq,
The HTAN data model currently supports 10X Visium data, but additional platforms will be added in the near future including Nanostring GeoMX and Pick-Seq.

As with other data model, 10X Visium data levels are provided as follows:
Spatial transcriptomic datasets are typically comprised of RNA-sequencing data at varying levels, coupled with imaging data and an auxiliary set of files used in or generated by processing workflows for spatial transcriptomics:

| Level | Description |
| --------------- | ------------------------------------------------------------------------------------------------------------------------------ |
| RNA-seq Level 1 | Files contain raw RNA-seq data associated with spot/slide data. |
| RNA-seq Level 2 | Alignment workflows downstream of Spatial Transcriptomics RNA-seq Level 1. |
| Auxiliary Files | Auxiliary data associated with spot/slide analysis (aligned Images, quality control files, etc) from Spatial Transcriptomics. |
| RNA-seq Level 3 | Processed data files based on Spatial Transcriptomics RNA-seq Level 2 and Spatial Transcriptomics Auxiliary files. |
| RNA-seq Level 4 | Processed data files based on Spatial Transcriptomics RNA-seq Level 3.
| Spatial Transcriptomics RNA-seq Level 1 | Files contain raw RNA-seq data associated with spot/slide data. |
| Spatial Transcriptomics RNA-seq Level 2 | Alignment workflows downstream of Spatial Transcriptomics RNA-seq Level 1. |
| Spatial Transcriptomics RNA-seq Level 3 | Processed data files based on Spatial Transcriptomics RNA-seq Level 2 and Spatial Transcriptomics Auxiliary files. |
| Spatial Transcriptomics RNA-seq Level 4 | Processed data files based on Spatial Transcriptomics RNA-seq Level 3. |
| Spatial Transcriptomics Auxiliary Files | Auxiliary data associated with spot/slide analysis (aligned Images, quality control files, etc) from Spatial Transcriptomics. |
| Imaging Level 2 | Imaging data compiled into a single file format, preferably a tiled and pyramidal OME-TIFF. |

0 comments on commit 8ac18e0

Please sign in to comment.