Published August 1, 2025 | Version v4

scProAtlas: an atlas of multiplexed single-cell spatial proteomics imaging in human tissues

  • 1. ROR icon Xidian University
  • 2. ROR icon The University of Texas Health Science Center
  • 1. ROR icon Xidian University
  • 2. ROR icon West China Medical Center of Sichuan University
  • 3. Guizhou Medical University
  • 4. ROR icon The University of Texas Health Science Center

Description

All analysis results for the spatial proteomics imaging techniques in the scProAtlas database are stored in compressed files named accordingly. Within each compressed file, the folders are organized in a fixed storage structure in the following order: Analysis module > Imaging Technique > Dataset > Tissue > ROI.

Each folder contains the corresponding metadata (including original sample information, cell type annotations, and neighborhood annotations) stored in a file named cells.tsv. Additionally, the module used to identify spatial pattern genes includes an anndata format file, named adata_moran.h5ad, which stores the integrated results of scRNA-seq and spatial proteomics.

scProAtlas_analysis_code.tar.gz contains example codes for all analysis modules in scProAtlas. Here, we provide the example using SCP_CODEX1 - Large intestine. The codes include all the scripts used for the entire workflow, from image segmentation to scRNA-spatial proteomics integration, and spatial analysis.

We have also uploaded the raw protein channel matrices with AnnData format in version 3 and 4.

Files

Files (6.8 GB)

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Additional details

Dates

Collected
2024-08-14

Software

Repository URL
https://github.com/ploughhh/scProAtlas_analysis
Programming language
Python
Development Status
Active