Spatially resolved transcriptomics: a comprehensive review of their technological advances, applications, and challenges

被引:43
|
作者
Cheng, Mengnan [1 ]
Jiang, Yujia [1 ]
Xu, Jiangshan [1 ]
Mentis, Alexios-Fotios A. [2 ]
Wang, Shuai [1 ,3 ]
Zheng, Huiwen [1 ]
Sahu, Sunil Kumar [2 ,4 ]
Liu, Longqi [1 ,3 ]
Xu, Xun [1 ,2 ,3 ,5 ]
机构
[1] BGI Hangzhou, Hangzhou 310012, Zhejiang, Peoples R China
[2] BGI Shenzhen, Shenzhen 518103, Guangdong, Peoples R China
[3] Univ Chinese Acad Sci, Coll Life Sci, Beijing 100049, Peoples R China
[4] BGI Shenzhen, State Key Lab Agr Genom, Shenzhen 518083, Guangdong, Peoples R China
[5] Guangdong Prov Key Lab Genome Read & Write, Shenzhen 518120, Guangdong, Peoples R China
基金
中国国家自然科学基金;
关键词
Spatially resolved transcriptomics; Bioinformatic tools; Spatial single-cell; Cell communications; Tissue dissection; Three-dimensional organ; IN-SITU HYBRIDIZATION; GENE-EXPRESSION; MESSENGER-RNA; CELL ATLAS; MULTIMODAL ANALYSIS; DROSOPHILA EMBRYOS; TISSUE; SEQ; RECONSTRUCTION; VISUALIZATION;
D O I
10.1016/j.jgg.2023.03.011
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
The ability to explore life kingdoms is largely driven by innovations and breakthroughs in technology, from the invention of the microscope 350 years ago to the recent emergence of single-cell sequencing, by which the scientific community has been able to visualize life at an unprecedented resolution. Most recently, the Spatially Resolved Transcriptomics (SRT) technologies have filled the gap in probing the spatial or even three-dimensional organization of the molecular foundation behind the molecular mysteries of life, including the origin of different cellular populations developed from totipotent cells and human diseases. In this review, we introduce recent progresses and challenges on SRT from the perspectives of technologies and bioinformatic tools, as well as the representative SRT applications. With the currently fast-moving progress of the SRT technologies and promising results from early adopted research projects, we can foresee the bright future of such new tools in understanding life at the most profound analytical level. Copyright (c) 2023, The Authors. Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, and Genetics Society of China. Published by Elsevier Limited and Science Press. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页码:625 / 640
页数:16
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