Vascular smooth muscle cell state trajectories mediate molecular mechanisms of coronary disease risk

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Authors: Daniel Y. Li, Soumya Kundu, Paul Cheng, Wenduo Gu, Matthew Worssam, Will Jackson, Quanyi Zhao, Trieu Nguyen, A. Y-C. Yu, João P. Monteiro, Roxanne Diaz Caceres, Stanley Dale
+7 more Brian T. Palmisano, Chad S. Weldy, Markus Ramste, Ramendra Kundu, Anshul Kundaje, Robert C. Wirka, Thomas Quertermous
Cited by: 2
References: 74

Abstract

Vascular smooth muscle cells contribute to heritable coronary artery disease risk and undergo complex transitions to multiple disease-related phenotypes. To investigate the genetic basis of these trajectories, we develop a dense timecourse single-cell transcriptomic and epigenetic map of atherosclerosis in a murine disease model accompanied by high-plex in situ spatial data. Using temporal data and probabilistic fate modeling, we identify key transcription factors that drive cell state changes through a combination of network-based prioritization and in silico transcription factor perturbation. Parallel knockout studies of validated coronary artery disease gene Tcf21 uncover its molecular mechanisms in smooth muscle cell transition, due in part to a role regulating the transition of smooth muscle cells in the secondary heart field. Integrating the murine atlas with human coronary artery disease genetics pinpoint smooth muscle cell phenotypes that mediate disease risk, highlighting causal disease mechanisms. Together, these studies resolve atherosclerosis trajectories at single-cell resolution and identify genetic causal transcriptomic and epigenomic mechanisms of coronary artery disease risk. Vascular smooth muscle cells undergo complex transitions to multiple disease-related phenotypes in coronary artery disease. Using vascular smooth muscle lineage-traced single-cell RNA and ATAC sequencing, the authors map molecular spatiotemporal patterns of murine atherosclerosis and discover molecular mechanisms of TCF21-mediated coronary artery disease risk.

Fields of Study & Subjects

Single-cell and spatial transcriptomics Congenital heart defects research Genetic Associations and Epidemiology

Publication details

Journal / source
Nature Communications
Publisher
Springer Science and Business Media LLC
Volume
17
Issue
1
Publication date
17 March 2026
Language
EN