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Dataset Information

Single-Cell Gene-Regulatory Networks of Advanced Symptomatic Atherosclerosis.


ABSTRACT:

Background

While our understanding of the single-cell gene expression patterns underlying the transformation of vascular cell types during the progression of atherosclerosis is rapidly improving, the clinical and pathophysiological relevance of these changes remains poorly understood.

Methods

Single-cell RNA sequencing data generated with SmartSeq2 (≈8000 genes/cell) in 16 588 single cells isolated during atherosclerosis progression in Ldlr-/-Apob100/100 mice with human-like plasma lipoproteins and from humans with asymptomatic and symptomatic carotid plaques was clustered into multiple subtypes. For clinical and pathophysiological context, the advanced-stage and symptomatic subtype clusters were integrated with 135 tissue-sp

SUBMITTER: Mocci G 

PROVIDER: S-EPMC11122742 | biostudies-literature | 2024 May

REPOSITORIES: biostudies-literature