Integration of Computational Analysis and Spatial Transcriptomics in Single-cell Studies  

作　　者：Ran Wang Guangdun Peng Patrick P.L.Tam Naihe Jing 

机构地区：[1]State Key Laboratory of Cell Biology,CAS Center for Excellence in Molecular Cell Science,Shanghai Institute of Biochemistry and Cell Biology,Chinese Academy of Sciences,University of Chinese Academy of Sciences,Shanghai 200031,China [2]CAS Key Laboratory of Regenerative Biology,Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine,Guangzhou Institutes of Biomedicine and Health,Chinese Academy of Sciences,Guangzhou 510530,China [3]Institute for Stem Cell and Regeneration,Chinese Academy of Sciences,Beijing 100101,China [4]Embryology Research Unit,Children’s Medical Research Institute,University of Sydney,Sydney,NSW 2145,Australia [5]School of Medical Sciences,Faculty of Medicine and Health,University of Sydney,Sydney,NSW 2145,Australia [6]Guangzhou Laboratory,Guangzhou 510005,China

出　　处：《Genomics, Proteomics & Bioinformatics》2023年第1期13-23,共11页基因组蛋白质组与生物信息学报（英文版）

基　　金：This work was supported in part by the National Key Basic Research and Development Program of China(Grant Nos.2019YFA0801402,2018YFA0107200,2018YFA0801402,2018YFA0800100,2018YFA0108000,and 2017YFA0102700);the“Strategic Priority Research Program”of the Chinese Academy of Sciences(Grant Nos.XDA16020501 and XDA16020404);the National Natural Science Foundation of China(Grant Nos.31630043 and 31900573);the China Postdoctoral Science Foundation Grant(Grant No.2018M642106).

摘　　要：Recent advances of single-cell transcriptomics technologies and allied computational methodologies have revolutionized molecular cell biology.Meanwhile,pioneering explorations in spatial transcriptomics have opened up avenues to address fundamental biological questions in health and diseases.Here,we review the technical attributes of single-cell RNA sequencing and spatial transcriptomics,and the core concepts of computational data analysis.We further highlight the challenges in the application of data integration methodologies and the interpretation of the biological context of the findings.

关 键 词：scRNA-seq Computational methodology Spatial transcriptome Data integration Mathematical model 

分 类 号：Q23[生物学—细胞生物学]