Huan Yang1, Ting Zhou1, Amelia Stranz1, Elise DeRoo1, Bo Liu1,2. 1. Department of Surgery (H.Y., T.Z., A.S., E.D., B.L.), School of Medicine and Public Health, University of Wisconsin-Madison, Madison. 2. Department of Cellular and Regenerative Biology (B.L.), School of Medicine and Public Health, University of Wisconsin-Madison, Madison.
Abstract
OBJECTIVE: Abdominal aortic aneurysm (AAA) is a life-threatening vascular disease characterized by smooth muscle cell depletion, ECM (extracellular matrix) degradation, and infiltration of immune cells. The cellular and molecular profiles that govern the heterogeneity of the AAA aorta are yet to be elucidated. Approach and Results: We performed single-cell RNA sequencing on mouse AAA tissues. AAA was induced in C57BL/6J mice by perivascular application of CaCl2. Unbiased clustering identified 12 distinct populations of 8 cell types. Percentages of each population and gene expression were compared between sham and AAA tissue. Furthermore, we characterized the transcriptional profiles and potential functional features of populations in smooth muscle cells, fibroblasts, and macrophages and revealed the unique regulons in each cell type. CONCLUSIONS: Together, these data provide high-resolution insight into the complexity and heterogeneity of mouse AAA and indicate that populations within major cell types such as smooth muscle cells, fibroblasts, and macrophages may contribute differently to AAA pathogenesis. Graphic Abstract: A graphic abstract is available for this article.
OBJECTIVE: Abdominal aortic aneurysm (AAA) is a life-threatening vascular disease characterized by smooth muscle cell depletion, ECM (extracellular matrix) degradation, and infiltration of immune cells. The cellular and molecular profiles that govern the heterogeneity of the AAA aorta are yet to be elucidated. Approach and Results: We performed single-cell RNA sequencing on mouse AAA tissues. AAA was induced in C57BL/6J mice by perivascular application of CaCl2. Unbiased clustering identified 12 distinct populations of 8 cell types. Percentages of each population and gene expression were compared between sham and AAA tissue. Furthermore, we characterized the transcriptional profiles and potential functional features of populations in smooth muscle cells, fibroblasts, and macrophages and revealed the unique regulons in each cell type. CONCLUSIONS: Together, these data provide high-resolution insight into the complexity and heterogeneity of mouse AAA and indicate that populations within major cell types such as smooth muscle cells, fibroblasts, and macrophages may contribute differently to AAA pathogenesis. Graphic Abstract: A graphic abstract is available for this article.
Authors: Ting Zhou; Qiwei Wang; Noel Phan; Jun Ren; Huan Yang; Conner C Feldman; John B Feltenberger; Zhengqing Ye; Scott A Wildman; Weiping Tang; Bo Liu Journal: Cell Death Dis Date: 2019-03-06 Impact factor: 8.469
Authors: Juyong B Kim; Thomas Quertermous; Robert C Wirka; Dhananjay Wagh; David T Paik; Milos Pjanic; Trieu Nguyen; Clint L Miller; Ramen Kundu; Manabu Nagao; John Coller; Tiffany K Koyano; Robyn Fong; Y Joseph Woo; Boxiang Liu; Stephen B Montgomery; Joseph C Wu; Kuixi Zhu; Rui Chang; Melissa Alamprese; Michelle D Tallquist Journal: Nat Med Date: 2019-07-29 Impact factor: 53.440
Authors: Ting Zhou; Elise DeRoo; Huan Yang; Amelia Stranz; Qiwei Wang; Roman Ginnan; Harold A Singer; Bo Liu Journal: Cells Date: 2021-09-12 Impact factor: 6.600