Uncovering an Organ's Molecular Architecture at Single-Cell Resolution by Spatially Resolved Transcriptomics.

fluorescence in situ hybridization in situ sequencing single-cell RNA-seq spatial reconstruction spatial transcriptomics spatially resolved transcriptomics

Journal

Trends in biotechnology
ISSN: 1879-3096
Titre abrégé: Trends Biotechnol
Pays: England
ID NLM: 8310903

Informations de publication

Date de publication:
01 2021
Historique:
received: 28 12 2019
revised: 11 05 2020
accepted: 12 05 2020
pubmed: 9 6 2020
medline: 23 9 2021
entrez: 8 6 2020
Statut: ppublish

Résumé

Revealing fine-scale cellular heterogeneity among spatial context and the functional and structural foundations of tissue architecture is fundamental within biological research and pharmacology. Unlike traditional approaches involving single molecules or bulk omics, cutting-edge, spatially resolved transcriptomics techniques offer near-single-cell or even subcellular resolution within tissues. Massive information across higher dimensions along with position-coordinating labels can better map the whole 3D transcriptional landscape of tissues. In this review, we focus on developments and strategies in spatially resolved transcriptomics, compare the cell and gene throughput and spatial resolution in detail for existing methods, and highlight the enormous potential in biomedical research.

Identifiants

pubmed: 32505359
pii: S0167-7799(20)30140-2
doi: 10.1016/j.tibtech.2020.05.006
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

43-58

Informations de copyright

Copyright © 2020 The Authors. Published by Elsevier Ltd.. All rights reserved.

Auteurs

Jie Liao (J)

Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, Zhejiang, China.

Xiaoyan Lu (X)

Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, Zhejiang, China.

Xin Shao (X)

Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, Zhejiang, China.

Ling Zhu (L)

The Save Sight Institute, Faculty of Medicine and Health, the University of Sydney, Sydney, NSW 2000, Australia.

Xiaohui Fan (X)

Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, Zhejiang, China; The Save Sight Institute, Faculty of Medicine and Health, the University of Sydney, Sydney, NSW 2000, Australia. Electronic address: fanxh@zju.edu.cn.

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Classifications MeSH