Preprocessed single-cell RNA-seq and donor data for MR-CCC: Bayesian Mendelian Randomization for Causal Cell-Cell Communication
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| Format: | Recurso digital |
| Language: | English |
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2026
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| _version_ | 1866902141755457536 |
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| author | Bitan Sarkar Ni, Yang |
| author_facet | Bitan Sarkar Ni, Yang |
| contents | <p>Preprocessed data from the OneK1K cohort (Yazar et al., Science 2022) used in the MR-CCC analysis of causal cell-cell communication.</p> <p>B_T_NK_Monocytes.rda contains pseudo-bulk gene expression count matrices (genes × donors) for five cell types: B cells, CD4+ T cells, CD8+ T cells, NK cells, and monocytes. Each matrix was aggregated from single-cell counts per donor and library-size normalized.</p> <p>donor.rda contains donor-level metadata and genotype information, including: donor covariates (age, sex, ancestry principal components), a SNP genotype matrix (dosage-encoded), and GRanges objects for SNP and gene genomic coordinates used for cis-eQTL instrument construction.</p> <p>These files are intended for use with the MR-CCC analysis scripts available at: https://github.com/bitansa/MR-CCC</p> <p>Original OneK1K data: https://onek1k.org</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19675075 |
| institution | Zenodo |
| language | eng |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Preprocessed single-cell RNA-seq and donor data for MR-CCC: Bayesian Mendelian Randomization for Causal Cell-Cell Communication Bitan Sarkar Ni, Yang Mendelian randomization cell-cell communication single-cell RNA-seq eQTL Bayesian inference OneK1K ligand-receptor <p>Preprocessed data from the OneK1K cohort (Yazar et al., Science 2022) used in the MR-CCC analysis of causal cell-cell communication.</p> <p>B_T_NK_Monocytes.rda contains pseudo-bulk gene expression count matrices (genes × donors) for five cell types: B cells, CD4+ T cells, CD8+ T cells, NK cells, and monocytes. Each matrix was aggregated from single-cell counts per donor and library-size normalized.</p> <p>donor.rda contains donor-level metadata and genotype information, including: donor covariates (age, sex, ancestry principal components), a SNP genotype matrix (dosage-encoded), and GRanges objects for SNP and gene genomic coordinates used for cis-eQTL instrument construction.</p> <p>These files are intended for use with the MR-CCC analysis scripts available at: https://github.com/bitansa/MR-CCC</p> <p>Original OneK1K data: https://onek1k.org</p> |
| title | Preprocessed single-cell RNA-seq and donor data for MR-CCC: Bayesian Mendelian Randomization for Causal Cell-Cell Communication |
| topic | Mendelian randomization cell-cell communication single-cell RNA-seq eQTL Bayesian inference OneK1K ligand-receptor |
| url | https://doi.org/10.5281/zenodo.19675075 |