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

Author:

Chen Xi1,Teichmann Sarah A.123,Meyer Kerstin B.1

Affiliation:

1. Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton CB10 1SA, United Kingdom;

2. European Molecular Biology Laboratory (EMBL)–European Bioinformatics Institute (EBI), Wellcome Genome Campus, Hinxton CB10 1SD, United Kingdom

3. Theory of Condensed Matter Research Group, Cavendish Laboratory, University of Cambridge, Cambridge CB3 0HE, United Kingdom

Abstract

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.

Publisher

Annual Reviews

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