Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Integrative analysis of single-cell transcriptomics and genetic associations identify cell states associated with vascular disease.

Atherosclerosis - 1 Apr 2025

Pepin Mark E, Schwartzman William E, Fang Shi, Vellarikkal Shamsudheen K, Atri Deepak S, Reddy Ankith, Xu Qiaohan, Hamel Andrew R, Billaud Marie, Segrè Ayellet V, Gupta Rajat M

Abstract excerpt

BACKGROUND: Vascular diseases are accompanied by alterations in cellular phenotypes which underlie disease pathogenesis, with single-cell technologies aiding in the discovery of cellular heterogeneity among endothelial cell (EC) and vascular smooth muscle cell (VSMC) populations. In atherosclerotic disease, VSMCs are hypothesized to transition between contractile and synthetic states; however, the specific...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Aorta, Thoracic
Share to Aortic Aneurysm, Thoracic

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Atherosclerosis

Share to Endothelial Cells

Share to Muscle, Smooth, Vascular

Share to Myocytes, Smooth Muscle

Share to RNA-Seq

Share to Single-Cell Analysis

Source

Open in PubMed Open full text

Identifiers

PMID: 40120433
DOI: 10.1016/j.atherosclerosis.2025.119108
PMCID: PMC12984030

Genes

CAD

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Integrative analysis of single-cell transcriptomics and genetic associations identify cell states associated with vascular disease.PMID 40120433Read ↗

Aortic Cellular Diversity and Quantitative Genome-Wide Association Study Trait Prioritization Through Single-Nuclear RNA Sequencing of the Aneurysmal Human AortaSemantic proximity Read ↗

Single-Cell Transcriptome Analysis Reveals Dynamic Cell Populations and Differential Gene Expression Patterns in Control and Aneurysmal Human Aortic TissueSemantic proximity Read ↗

Dysregulated smooth muscle cell proliferation and gene expression underlie ACTA2 variant-associated aortopathy.Semantic proximity Read ↗

A cell and transcriptome atlas of human arterial vasculatureSemantic proximity Read ↗

Harnessing Single-Cell RNA Sequencing to Better Understand How Diseased Cells Behave the Way They Do in Cardiovascular Disease.Semantic proximity Read ↗

Integrated single-cell multi-omics analysis identifies fibroblast-like smooth muscle cells as a key driving phenotypic switching during aortic aneurysm progression.Semantic proximity Read ↗

Dysregulated smooth muscle cell proliferation and gene expression underlie ACTA2 variant-associated aortopathySemantic proximity Read ↗

Unveiling the Hidden Landscape of Arterial Diseases at Single-Cell Resolution.Semantic proximity Read ↗

Integrative single-cell meta-analysis reveals disease-relevant vascular cell states and markers in human atherosclerosisSemantic proximity Read ↗

Single-cell RNA sequencing reveals the vascular smooth muscle cell phenotypic landscape in aortic aneurysm.Semantic proximity Read ↗

Multimodal Hypersampling of the adult human heart resolves tissue-specific cell states and disease-associated variantsSemantic proximity Read ↗

Multimodal atlas of human atherosclerosis links granular vascular cell states to coronary artery disease riskSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.