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Omics · study · 2026

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

Listed in NCBI GEO

We investigated Tfh cell differentiation across multiple levels of biological organization by integrating diverse data types through interpretable network-based approaches.

Description

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.

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From keywords
Life Sciences
Inferred from text
Disease 75%
Provenance · 1 source records, 8 field assertions
SourceKeyLast seenRaw
NCBI GEOGSE30334312 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[disease].local:disease:diseaseenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (75%)
concepts[field].local:field:life-sciencesmapping · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[method].geo_series_type:genome-binding-occupancy-profiling-by-high-throughput-sequencingsource · NCBI GEOconnector:ncbi_geo@1.0.0/gdstype
concepts[organism].NCBITaxon:9606source · NCBI GEOconnector:ncbi_geo@1.0.0/taxon
descriptionsource · NCBI GEOconnector:ncbi_geo@1.0.0/summary
publication_datesource · NCBI GEOconnector:ncbi_geo@1.0.0
titlesource · NCBI GEOconnector:ncbi_geo@1.0.0/title