Open AccessSingle-cell RNA sequencing to study vascular diversity and function
Author(s) -
Feiyang Ma,
Gloria E. Hernandez,
Milagros C. Romay,
M. Luisa IruelaArispe
Publication year - 2021
Publication title -
current opinion in hematology/current opinion in hematology, with evaluated medline
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.295
H-Index - 97
eISSN - 1080-8213
pISSN - 1065-6251
DOI - 10.1097/moh.0000000000000651
Subject(s) - leverage (statistics) , transcriptome , computational biology , biology , data science , computer science , artificial intelligence , gene , genetics , gene expression
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.