Unravelling atherosclerotic heterogeneity by single cell RNA sequencing.
Unravelling atherosclerotic heterogeneity by single cell RNA sequencing.
复制标题
DOI:
10.1097/mol.0000000000000559
复制
发表时间:
2018-12
影响因子:
4.4
通讯作者:
I. McCracken;Richard S. Taylor;N. Henderson;J. Sluimer;A. Baker
中科院分区:
文献类型:
--
作者:
I. McCracken;Richard S. Taylor;N. Henderson;J. Sluimer;A. Baker
DOI:10.1097/MOL.0000000000000559 The atherosclerotic plaque is a complex environment containing immune and stromal cells, many switching phenotype or even transitioning to alternative cell types [1–4]. Previous attempts to characterize heterogeneity in atherosclerosis have been limited by the requirement for predefined cell surface markers, thus negating new population discovery [5 & ]. Consequently, cellular heterogeneity is poorly characterized and likely oversimplified [6–8]. This challenge in the atherosclerosis field has recently been addressed by the utility of single cell RNA sequencing (scRNA-seq), allowing transcriptome analysis at a single cell resolution [9 && ,10 && ]. In contrast to previous priori-dependant approaches, scRNA-seq allows for the unbiased, comprehensive characterization of cellular identity within a heterogeneous population [5 & ]. Importantly, droplet-based microfluidic platforms permit the sequencing of thousands of cells in parallel [11]. Two recent studies have utilized a droplet-based scRNA-seq platform to map leukocyte heterogeneity in control and fat-fed low-density lipoprotein receptor deficient (Ldlr / ) [9 && ] or apolipoprotein E (Apoe / ) mice [10 && ], respectively. Unsupervised clustering revealed more than 10 clusters in each model, with increased heterogeneity with advancing disease. Both publications show that the atherosclerotic plaques were predominantly composed of macrophages and T cells. Macrophages were found to account for a lower proportion of aortic leukocytes in Apoe / mice compared to that observed in Ldlr / mice, although the proportion of macrophages increased with disease progression in both models [9 && ,10 && ]. Importantly, scRNA-seq identified a new macrophage cluster (identified by enriched expression of TREM2) and changed pervading views on macrophage biology, as the identified inflammatory and resident macrophage populations demonstrated only a weak resemblance to polarized M1 and M2 macrophage phenotypes, again highlighting the limitations of the current classification system [10 && ].