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A unified network systems approach uncovers a core program underlying T follicular helper cell differentiation [CUT&RUN]

GSE303343 Homo sapiens Genome binding/occupancy profiling by high throughput sequencing 48 samples Submitted 2026/08/02 Platform GPL21697
Summary
We investigated Tfh cell differentiation across multiple levels of biological organization by integrating diverse data types through interpretable network-based approaches. Our multi-scale network framework successfully combines transcriptomic and epigenetic datasets, capturing known regulators of Tfh differentiation identified in numerous prior studies. Through this approach, we identify a core set of Tfh-associated genes that is conserved across various tissues and disease conditions. Although individual components of this core set have been reported previously, a central contribution of our study is the unbiased discovery and in-depth characterization of this conserved gene signature.
Published in
A unified network systems approach uncovers a core novel program underlying T follicular helper cell differentiation
Omelchenko AA, Rahman SA, Viswanadham VV et al. · bioRxiv : the preprint server for biology 2025 · PMID 40894583 · doi:10.1101/2025.08.19.670906
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Direct links to NCBI, no account and no request form: the whole study as GSE303343_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 48 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1294876 and SRA study SRP602784. Searching any of these in the dataset finder brings you back here.

Study design
40 conditions, each sampled once — no replicated groups

Read from the first 40 of 48 sample titles: 40 distinct titles with little repetition. Check it against the sample list below before relying on it.

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