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Omics · study · 2026

Gain- and loss-of-function RNA-seq analysis reveals DDIT4-driven transcriptional programs in human coronary artery smooth muscle cells

Listed in NCBI GEO

This dataset profiles the transcriptomic changes resulting from DDIT4 manipulation in human coronary artery smooth muscle cells (HCASMCs).

Description

We performed RNA sequencing on HCASMCs following adenovirus-mediated DDIT4 overexpression or shRNA-mediated DDIT4 knockdown. Our analysis reveals that DDIT4 is both necessary and sufficient to drive a transcriptional program characteristic of VSMC dedifferentiation, establishing its critical role in phenotypic switching.

These findings provide mechanistic insight into how this stress-responsive gene promotes proliferative arterial disease.

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From keywords
Life Sciences
Inferred from text
Disease 75% · RNA sequencing 75% · Sequencing 75%
Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
NCBI GEOGSE31036113 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:expression-profiling-by-high-throughput-sequencingsource · NCBI GEOconnector:ncbi_geo@1.0.0/gdstype
concepts[modality].local:modality:rna-seqenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (75%)
concepts[modality].local:modality:sequencingenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (75%)
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