Multimodal atlas of human atherosclerosis links granular vascular cell states to coronary artery disease risk
Mosquera, J. V.; Tang, I.; Murach, M.; Auguste, G.; Kodali, A.; Hart, P.; Shaw, D. M.; Li, M.; Turner, A. W.; Hodonsky, C. J.; Dworak, N. M.; de Oliveira, A. K.; Sol-Church, K.; Jhee, T.; van der Sijs, K. I. M.; Adkar, S. S.; Choi, R. B.; Vacante, F.; Wu, J. C.; Cheng, P.; Giannarelli, C.; Leeper, N. J.; Finn, A. V.; Bjorkegren, J. L. M.; Kovacic, J. C.; Yurdagul, A.; van der Laan, S. W.; Miller, C. L.
Show abstract
Advances in single-cell and spatial assays have revolutionized the scale and resolution of molecular tissue profiling. Here we present MetaPlaq, a multimodal atlas of human atherosclerotic arterial beds comprising over a million cells across single-cell transcriptomics, epigenomics and high-resolution spatial expression assays. We map granular cell states and disease-relevant transcriptional programs within the native tissue context of coronary arteries. Furthermore, we map cardiovascular GWAS signals to smooth muscle cells (SMCs) and endothelial cells (ECs) and uncover the cis-regulatory architecture governing their phenotypic transitions. Our comprehensive epigenomic reference allowed us to build cell-specific enhancer-gene link maps and multimodal gene regulatory networks (GRNs) underlying disease-relevant states such as osteogenic SMCs and ECs undergoing mesenchymal transition. We also integrate SMC and EC disease-associated gene sets with GRNs to nominate key transcription factors such as PRRX1, BNC2 and ELK3 regulating atherosclerosis-relevant transcriptional programs. Finally, we layer single-cell and spatial modalities to fine-map GWAS variants with improved cell and anatomical context. We highlight candidate cell-specific regulatory mechanisms at less characterized CAD loci, including FGD5 and MCF2L in ECs. Together, this atlas represents an important step towards fully interpreting genetic risk loci and informing new therapeutic strategies for cardiovascular disease.
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