Dataset Information

Genome-wide analysis of gene expression of ascending aorta from patients with acute Stanford type A aortic dissection

ABSTRACT: Differentially expressed genes were identified by comparing the gene expression profiling of dissected ascending aorta with that of control. Results provide important information to indicate pathogenesis of aortic dissection.

ORGANISM(S): Homo sapiens

PROVIDER: GSE52093 | GEO | 2014/12/31

SECONDARY ACCESSION(S): PRJNA229053

REPOSITORIES: GEO

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Project description:Stanford type A aortic dissection (STAAD) is an aortic degenerative remodeling disease carrying an exceedingly high mortality worldwide. The irreversible weakening, dilatation and dissection of the ascending aorta contributes to circulatory failure and premature death. Dissections manifest distinct patterns in both clinical presentations and histophathological features during disease temporal transition. Therefore, we delineate a full repertoire of cellular landscape and dynamic interplay in distinct temporal patterns of STAAD using single-cell transcriptomics for comprehensively understanding of disease features and temporal evolution. We performed single-cell RNA sequencing with ascending aortic tissues from 14 participants, including 9 patients with STAAD (4 acute, 3 subacute, and 2 chronic) and 5 control subjects. Unsupervised clustering was performed based on transcriptional profiles of highly variable genes. Single T cell analysis by RNA sequencing and TCR tracking (STARTRACT) was performed to quantitatively delineate the developmental trajectory of aortic T lymphocytes. On the basis of molecular signatures and distinct disease patterns, we draw a spatiotemporal map of disease subtype-specific alterations and complex interplay among cell types. The transcriptional profiles of 93,397 individual cells enable us to identify 12 major cell types and 37 subtypes in human ascending aorta. Comparisons of transcriptomes of disease subtypes reveal striking stage-specific cellular diversity and transcriptional dynamics in phenotypic switch, vascular inflammation, cell death and survival, extracellular matrix remodeling, and cell-cell interactions during disease temporal transition. Modeling of developmental trajectory revealed that the defects in mitochondrial OXPHOS drives phenotypic switch of contractile smooth muscle cells to synthetic myofibroblasts through AP-1 transcriptional complex. STARTRACT analysis revealed that CD8+ HSP are preferentially enriched and potentially clonally expanded in acute AD. Intersection of disease risk genes with our dataset reveals distinct gene panel in discriminating temporal-specifc AD. This compendium of transcriptome data provides valuable insights and a rich resource for understanding the cellular diversity and heterogeneity in human aorta. The distinct alterations of cell type- and disease subtype-specific spatiotemporal features will ultimately facilitate the design of more precisely tailored anti-AD therapies.

Dataset Information

Genome-wide analysis of gene expression of ascending aorta from patients with acute Stanford type A aortic dissection

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