A guidebook of spatial transcriptomic technologies, data resources and analysis approaches

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成果类型：

期刊论文

作者：

Yue, Liangchen;Liu, Feng;Hu, Jiongsong;Yang, Pin;Wang, Yuxiang;...

通讯作者：

Shu, W.;Huang, X.

作者机构：

[Dong, Junguo; Yue, Liangchen; Wang, Yuxiang; Wang, Shengqi; Shu, Wenjie] Beijing Inst Microbiol & Epidemiol, Beijing 100850, Peoples R China.

[Liu, Feng] Chongqing Med Univ, Coll Med Informat, Chongqing 400016, Peoples R China.

[Hu, Jiongsong] Univ South China, Hengyang 421001, Hunan, Peoples R China.

[Yang, Pin] Anhui Med Univ, Hefei 230022, Anhui, Peoples R China.

[Huang, Xingxu] Zhejiang Univ, Affiliated Hosp 1, Inst Translat Med, Zhejiang Prov Key Lab Pancreat Dis,Sch Med, Hangzhou 310029, Peoples R China.

通讯机构：

[Wenjie Shu; Shengqi Wang] B

[Xingxu Huang] Z

Beijing Institute of Microbiology and Epidemiology, Beijing 100850, China<&wdkj&>Zhejiang Provincial Key Laboratory of Pancreatic Disease, the First Affiliated Hospital, and Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou 310029, China<&wdkj&>School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China<&wdkj&>Beijing Institute of Microbiology and Epidemiology, Beijing 100850, China

语种：

英文

关键词：

Spatial transcriptomic technologies

期刊：

Computational and Structural Biotechnology Journal

ISSN：

2001-0370

年：

2023

卷：

页码：

940-955

DOI：

10.1016/j.csbj.2023.01.016

基金类别：

This work was supported in part by the National Key Research and Development Project of China ( 2021YFC2302400 and 2021YFC2302403 ), National Natural Science Foundation of China ( 81830101 and 31901064 ), General Project of Chongqing Natural Science Foundation of China ( CSTB2022NSCQ-MSX1059 ), and Intelligent Medicine Research Project of Chongqing Medical University ( ZHYXQNRC202103 ).

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摘要：

Advances in transcriptomic technologies have deepened our understanding of the cellular gene expression programs of multicellular organisms and provided a theoretical basis for disease diagnosis and therapy. However, both bulk and single-cell RNA sequencing approaches lose the spatial context of cells within the tissue microenvironment, and the development of spatial transcriptomics has made overall bias-free access to both transcriptional information and spatial information possible. Here, we elaborate development of spatial transcriptomic technologies to help researchers select the best-suit...

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A guidebook of spatial transcriptomic technologies, data resources and analysis approaches

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