Published January 30, 2025
| Version v1
Dataset
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Data connected with "Cell signaling pathways discovery from multi-modal data"
Authors/Creators
Contributors
Annotator (2):
Project leader (2):
Project member (7):
Description
Input data used to run Incytr as described in "Cell signaling pathways discovery from multi-modal data":
- mc38_input_data:
- pr_10, pr_14: total proteomics for 10 and 14 day conditions deconvoluted by cell type
- ps_10, ps_14: pS phosphoproteomics for 10 and 14 day conditions deconvoluted by cell type
- py_10, py_14: pY phosphoproteomics for 10 and 14 day conditions deconvoluted by cell type
- kldata: Kinase Library predictions for observed phosphosites
- mc38b.rds: Seurat object with scRNA-seq data
- input_gene_list: markers and highly expressed genes in transcriptomics data
- 5xfad_input_data:
- processed_pr_5X_v2, processed_pr_WT_v2: total proteomics for 5X and WT conditions deconvoluted by cell type
- processed_ps_5X_v2, processed_ps_WT_v2: pS phosphoproteomics for 5X and WT conditions deconvoluted by cell type
- processed_py_5X_v2, processed_py_WT_v2: pY phosphoproteomics for 5X and WT conditions deconvoluted by cell type
- kldata: Kinase Library predictions for observed phosphosites
- transcriptomics is available from Zhou et al. (2020)
- covid_input_data:
- covid_bl_t_2024.rds: Seurat object with scRNA-seq data (T cells from BL group)
- additional_input_genes: additional genes used as input to Incytr besides those indicated through high expression in the transcriptomic data
- First cohort data available at Gene Expression Omnibus (GSE186267)
Files
5xfad_input_data.zip
Additional details
Related works
- Cites
- Publication: 10.1038/s41591-019-0695-9 (DOI)
- Dataset: GSE186267 (Other)
Software
- Repository URL
- https://github.com/ChanghanGitHub/Incytr
- Programming language
- R
- Development Status
- Active