Single-Cell Transcriptome Analysis Reveals Dynamic Cell Populations and Differential Gene Expression Patterns in Control and Aneurysmal Human Aortic Tissue

2020328 citationsJournal Articlebronze Open Access

Authors

Yanming Li · Baylor College of Medicine

Pingping Ren · Baylor College of Medicine

Ashley Dawson · Baylor College of Medicine

Hernan G. Vasquez · Baylor College of Medicine

Waleed Ageedi · Baylor College of Medicine

Chen Zhang · Baylor College of Medicine

Wei Luo ·

Abstract

Our study provides a comprehensive evaluation of the cellular composition of the ascending aortic wall and reveals how the gene expression landscape is altered in human ATAA tissue. The information from this study makes important contributions to our understanding of ATAA formation and progression.

Topics & Keywords

Single-cell and spatial transcriptomics Aortic aneurysm repair treatments Atherosclerosis and Cardiovascular Diseases

Publication Details

Published in: Circulation

Volume 142, Issue 14, pp. 1374-1388

DOI: 10.1161/circulationaha.120.046528

Field-Weighted Citation Impact: 14.05

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Single-Cell Transcriptome Analysis Reveals Dynamic Cell Populations and Differential Gene Expression Patterns in Control and Aneurysmal Human Aortic Tissue

Authors

Abstract

Topics & Keywords

Publication Details