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Single-nucleus chromatin accessibility profiling highlights regulatory mechanisms of coronary artery disease risk

Coronary artery disease (CAD) is a complex inflammatory disease involving genetic influences across cell types. Genome-wide association studies (GWAS) have identified over 200 loci associated with CAD, where the majority of risk variants reside in noncoding DNA sequences impacting cis-regulatory ele...

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Detalles Bibliográficos
Autores principales: Turner, Adam W., Hu, Shengen Shawn, Mosquera, Jose Verdezoto, Ma, Wei Feng, Hodonsky, Chani J., Wong, Doris, Auguste, Gaëlle, Song, Yipei, Sol-Church, Katia, Farber, Emily, Kundu, Soumya, Kundaje, Anshul, Lopez, Nicolas G., Ma, Lijiang, Ghosh, Saikat Kumar B., Onengut-Gumuscu, Suna, Ashley, Euan A., Quertermous, Thomas, Finn, Aloke V., Leeper, Nicholas J., Kovacic, Jason C., Björkgren, Johan L.M., Zang, Chongzhi, Miller, Clint L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9203933/
https://www.ncbi.nlm.nih.gov/pubmed/35590109
http://dx.doi.org/10.1038/s41588-022-01069-0
Descripción
Sumario:Coronary artery disease (CAD) is a complex inflammatory disease involving genetic influences across cell types. Genome-wide association studies (GWAS) have identified over 200 loci associated with CAD, where the majority of risk variants reside in noncoding DNA sequences impacting cis-regulatory elements (CREs). Here, we applied single-nucleus ATAC-seq to profile 28,316 nuclei across coronary artery segments from 41 patients with varying stages of CAD, which revealed 14 distinct cellular clusters. We mapped ~320,000 accessible sites across all cells, identified cell type-specific elements, transcription factors, and prioritized functional CAD risk variants. . We identified elements in smooth muscle cell (SMC) transition states (e.g. fibromyocytes) and functional variants predicted to alter SMC and macrophage-specific regulation of MRAS (3q22) and LIPA (10q23), respectively. We further nominated key driver transcription factors such as PRDM16 and TBX2. Together, this single nucleus atlas provides a critical step towards interpreting regulatory mechanisms across the continuum of CAD risk.