单细胞 RNA 测序研究血管多样性和功能。
Single-cell RNA sequencing to study vascular diversity and function.
机构信息
Molecular Biology Institute, University of California, Los Angeles, California.
Department of Cell and Developmental Biology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.
出版信息
Curr Opin Hematol. 2021 May 1;28(3):221-229. doi: 10.1097/MOH.0000000000000651.
PURPOSE OF REVIEW
Single-cell RNA sequencing (scRNA-seq) can capture the transcriptional profile of thousands of individual cells concurrently from complex tissues and with remarkable resolution. Either with the goal of seeking information about distinct cell subtypes or responses to a stimulus, the approach has provided robust information and promoted impressive advances in cardiovascular research. The goal of this review is to highlight strategies and approaches to leverage this technology and bypass potential caveats related to evaluation of the vascular cells.
RECENT FINDINGS
As the most recent technological development, details associated with experimental strategies, analysis, and interpretation of scRNA-seq data are still being discussed and scrutinized by investigators across the vascular field. Compilation of this information is valuable for those using the technology but particularly important to those about to start utilizing scRNA-seq to seek transcriptome information of vascular cells.
SUMMARY
As our field progresses to catalog transcriptomes from distinct vascular beds, it is undeniable that scRNA-seq technology is here to stay. Sharing approaches to improve the quality of cell dissociation procedures, analysis, and a consensus of best practices is critical as information from this powerful experimental platform continues to emerge.
目的综述
单细胞 RNA 测序 (scRNA-seq) 可同时从复杂组织中以极高的分辨率捕获数千个单个细胞的转录谱。无论是为了寻找关于不同细胞亚型的信息还是对刺激的反应，该方法都提供了强大的信息，并促进了心血管研究的显著进展。本综述的目的是强调利用该技术的策略和方法，并克服与评估血管细胞相关的潜在注意事项。
最近的发现
作为最新的技术发展，与 scRNA-seq 数据的实验策略、分析和解释相关的细节仍在被血管领域的研究人员讨论和审查。对于使用该技术的人来说，这些信息的汇编是有价值的，但对于那些即将开始利用 scRNA-seq 来寻找血管细胞转录组信息的人来说，这些信息尤其重要。
总结
随着我们的领域进展到从不同的血管床对转录组进行编目，不可否认的是，scRNA-seq 技术已经存在。共享提高细胞解离程序、分析质量的方法以及最佳实践的共识非常重要，因为来自这个强大的实验平台的信息不断涌现。
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