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

GSE310361 Homo sapiens Expression profiling by high throughput sequencing 8 samples Submitted 2026/06/06 Platform GPL23227
Summary
This dataset profiles the transcriptomic changes resulting from DDIT4 manipulation in human coronary artery smooth muscle cells (HCASMCs). 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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Direct links to NCBI, no account and no request form: the whole study as GSE310361_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 8 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1364149. Searching any of these in the dataset finder brings you back here.

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