Overview This repository contains scripts and files related to the differential expression (DE) analysis of RNAseq and protein expression data generated from GeoMX DSP libraries from four donor pancreases.
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├── DE_by_region
│ ├── data
│ │ └── P1-P4.QC.v3.xlsx
│ ├── results
│ │ ├── By_Region_DE_Results_2024-10-23.xlsx
│ │ └── plots
│ │ ├── endothelial_Body_vs_Head_DE_plot_2024-10-23.png
│ │ ├── endothelial_Body_vs_Neck_DE_plot_2024-10-23.png
│ └── scripts
│ └── DE_Distance_function.R
├── DistanceToDuct
│ ├── data
│ │ └── DistanceToMainPancreaticDuct.csv
│ ├── results
│ │ └── CIBERSORT
│ └── scripts
│ └── CIBERSORT.R
├── HuBMAP_nPOD
│ └── data
├── Proteomics
│ └── data
└── README.md
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DE_by_region/
Contains analyses of differential expression by pancreatic region (e.g., Body vs Head, Neck vs Tail).-
data/: Input data used for the analyses.
P1-P4.QC.v3.xlsx
: QC and data for four donors.
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results/: Contains results and plots of the DE analysis.
By_Region_DE_Results_2024-10-23.xlsx
: Output summarizing DE analysis.- plots/: Contains PNG plots for each analysis.
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DistanceToDuct/
Contains analyses related to Does gene expression level change with increasing (or decreasing) distance fro m main pancreatic duct?
Data was subset to regions of inerest that included an islet and each enriched-cell-type target (AOI) was analyzed separately (endothelial cells, acinar and other cells, beta cells, and duct cells)
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data/: Input data for distance-based analyses.
DistanceToMainPancreaticDuct.csv
: Data for pancreatic duct distances. Created by Sam Ewing.
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results/: DE results based on distance.
- CIBERSORT/: Contains CIBERSORT results and heatmaps.
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Proteomics/
Contains analyses of proteomics data.- data/: Contains raw and processed data.
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HuBMAP_nPOD/
Additional HuBMAP and nPOD analyses, including raw counts.
To reproduce the analysis:
- Download Original Data: Contact for access to the original
.xlsx
files. - Run Scripts: Use the provided R scripts to process data and generate results.
For questions, please contact:
Heather Kates
Email: [email protected]
This research was supported by NIH NIDDK grant 1U54DK127823-01 Multi-omic 3D tissue maps for a Human BioMolecular Atlas.