PMID- 32505359 OWN - NLM STAT- MEDLINE VI - 39 IP - 1 TI - Uncovering an Organ's Molecular Architecture at Single-Cell Resolution by Spatially Resolved Transcriptomics. PG - 43-58 CI - Copyright © 2020 The Authors. Published by Elsevier Ltd.. All rights reserved. LA - eng PT - Journal Article PT - Research Support, Non-U.S. Gov't PT - Review PL - England TA - Trends Biotechnol JT - Trends in biotechnology JID - 8310903 IS - 1879-3096 (Electronic) LID - S0167-7799(20)30140-2 [pii] LID - 10.1016/j.tibtech.2020.05.006 [doi] FAU - Liao, Jie AU - Liao J AD - Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, Zhejiang, China. FAU - Lu, Xiaoyan AU - Lu X AD - Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, Zhejiang, China. FAU - Shao, Xin AU - Shao X AD - Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, Zhejiang, China. FAU - Zhu, Ling AU - Zhu L AD - The Save Sight Institute, Faculty of Medicine and Health, the University of Sydney, Sydney, NSW 2000, Australia. FAU - Fan, Xiaohui AU - Fan X AD - 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. IS - 0167-7799 (Linking) SB - IM MH - Animals MH - *Biomedical Research/trends MH - Humans MH - *Single-Cell Analysis MH - *Transcriptome OTO - NOTNLM OT - *fluorescence in situ hybridization OT - *in situ sequencing OT - *single-cell RNA-seq OT - *spatial reconstruction OT - *spatial transcriptomics OT - *spatially resolved transcriptomics DCOM- 20210922 LR - 20210922 DP - 202101 DEP - 20200603 AB - 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.