From Tissues to Cell Types and Back: Single-Cell Gene Expression Analysis of Tissue Architecture

被引:68
作者
Chen, Xi [1 ]
Teichmann, Sarah A. [1 ,2 ,3 ]
Meyer, Kerstin B. [1 ]
机构
[1] Wellcome Sanger Inst, Wellcome Genome Campus, Hinxton CB10 1SA, England
[2] European Bioinformat Inst EBI, European Mol Biol Lab EMBL, Wellcome Genome Campus, Hinxton CB10 1SA, England
[3] Univ Cambridge, Cavendish Lab, Theory Condensed Matter Res Grp, Cambridge CB3 0HE, England
来源
ANNUAL REVIEW OF BIOMEDICAL DATA SCIENCE, VOL 1 | 2018年 / 1卷
关键词
single-cell genomics; scRNA-seq; tissue architecture; deconvolution; spatial gene expression;
D O I
10.1146/annurev-biodatasci-080917-013452
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
With the recent transformative developments in single-cell genomics and, in particular, single-cell gene expression analysis, it is now possible to study tissues at the single-cell level, rather than having to rely on data from bulk measurements. Here we review the rapid developments in single-cell RNA sequencing (scRNA-seq) protocols that have the potential for unbiased identification and profiling of all cell types within a tissue or organism. In addition, novel approaches for spatial profiling of gene expression allow us to map individual cells and cell types back into the three-dimensional context of organs. The combination of in-depth single-cell and spatial gene expression data will reveal tissue architecture in unprecedented detail, generating a wealth of biological knowledge and a better understanding of many diseases.
引用
收藏
页码:29 / 51
页数:23
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