GEOapplication/xmlftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE310nnn/GSE310361/primaryOK200TranscriptomicsHomo sapiensExpression profiling by high throughput sequencinghttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE310361GEOGSEfalseGain- and loss-of-function RNA-seq analysis reveals DDIT4-driven transcriptional programs in human coronary artery smooth muscle cellsThis 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.2026/06/06GSE310361GSM9294629GSM9294630GSM9294631GSM9294634GSM9294635GSM9294632GSM9294633GSM929462823227310361Homo sapiens