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Transcription factor networks disproportionately enrich for heritability of blood cell phenotypes [10x ATAC + GEX Multiome]

GSE274113 Homo sapiens Other 42 samples Submitted 2025/04/02 Platform GPL24676Platform GPL30173
Summary
We developed a strategy (Perturb-Multiome) to couple highly-efficient pooled CRISPR-mediated perturbation of master transcription factors in differentiating primary human hematopoietic cells with joint single-cell gene expression and chromatin accessibility profiling. This approach enabled the reconstruction of transcription factor-dependent gene regulatory networks throughout hematopoietic differentiation. Ultimately, we integrated GWAS datasets to explore the heritability of blood phenotypes explained by these identified transcription-factor regulatory networks.
Published in
Transcription factor networks disproportionately enrich for heritability of blood cell phenotypes
Martin-Rufino JD, Caulier A, Lee S et al. · Science (New York, N.Y.) 2025 · PMID 40179192 · doi:10.1126/science.ads7951
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Direct links to NCBI, no account and no request form: the whole study as GSE274113_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 42 samples.

Also filed as BioProject PRJNA1144976. Searching any of these in the dataset finder brings you back here.

Study design
14 × RNA vs 14 × ATAC vs 12 × dialout

Supports a between-group comparison across 40 samples.

3 replicated groups read from the first 40 of 42 sample titles; they account for 40 of them. Check it against the sample list below before relying on it.

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