← BioTransfer GEO Dataset Finder
GEO series

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

GSE274113 Homo sapiens (human) Other 42 samples Submitted 2025/04/02 Platform GPL24676Platform GPL30173
At a glance

human · 42 samples

Organism
Homo sapiens (human)
Samples
42 samples: 14 × RNA vs 14 × ATAC vs 14 × dialoutGroups are read from the sample names, not from the paper. Check the list below.
Data you can get
A processed table (series matrix) and supplementary files from NCBI.
Paper
Transcription factor networks disproportionately enrich for heritability of blood cell phenotypesScience (New York, N.Y.) · 2025
Summary (written by the submitters)
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
This dataset
Download · which file do I need?

Direct links to NCBI, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need.

All supplementary files ↗
3 · The original raw files

Whole study · RAW.tar

Everything the authors deposited as one archive (GSE274113_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.

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 14 × dialout

Supports a between-group comparison across 42 samples.

How we read this: 3 replicated groups read from 42 sample titles; they account for 42 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

Samples in this study

+ 2 more — browse all 42 samples with per-sample file links →

Datasets on a similar topic

Search all human datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.