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.
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Daniel Y. Li
Soumya Kundu
Stanford University
Paul Cheng
Cardiovascular Institute of the South
Nature Communications
Stanford University
University of North Carolina at Chapel Hill
Stanford Medicine
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Li et al. (Tue,) studied this question.
synapsesocial.com/papers/69bb92df496e729e6298091c — DOI: https://doi.org/10.1038/s41467-026-70530-z
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