Integrating single-cell and spatial transcriptomics to elucidate intercellular tissue dynamics

Single-cell RNA sequencing (scRNA-seq) identifies cell subpopulations within tissue but does not capture their spatial distribution nor reveal local networks of intercellular communication acting in situ. A suite of recently developed techniques that localize RNA within tissue, including multiplexed...

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Bibliographic Details
Published in:	Nature reviews. Genetics Vol. 22; no. 10; pp. 627 - 644
Main Authors:	Longo, Sophia K., Guo, Margaret G., Ji, Andrew L., Khavari, Paul A.
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 01.10.2021 Nature Publishing Group
Subjects:	631/1647/1513 631/1647/2217/2018 631/1647/48 631/208/199 631/208/212/2019 Agriculture Algorithms Animal Genetics and Genomics Animals Bar codes Biomedical and Life Sciences Biomedicine Cancer Research Cell Communication Cell interaction Cell populations Cell research Communication Composition Computational biology Computational Biology - methods Computer applications Disease Gene expression Gene Function Homeostasis Human Genetics Humans Hybridization Identification and classification Ligands Methods Physiological aspects Review Article Ribonucleic acid RNA RNA sequencing Sequence Analysis, RNA - methods Single-Cell Analysis - methods Software Spatial data Spatial distribution Tissues Transcription Transcriptome Transcriptomes Transcriptomics United States
ISSN:	1471-0056, 1471-0064, 1471-0064
Online Access:	Get full text
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