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

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

作者机构：State Key Laboratory of Cell BiologyCAS Center for Excellence in Molecular Cell ScienceShanghai Institute of Biochemistry and Cell BiologyChinese Academy of SciencesUniversity of Chinese Academy of SciencesShanghai 200031China CAS Key Laboratory of Regenerative BiologyGuangdong Provincial Key Laboratory of Stem Cell and Regenerative MedicineGuangzhou Institutes of Biomedicine and HealthChinese Academy of SciencesGuangzhou 510530China Institute for Stem Cell and RegenerationChinese Academy of SciencesBeijing 100101China Embryology Research UnitChildren’s Medical Research InstituteUniversity of SydneySydneyNSW 2145Australia School of Medical SciencesFaculty of Medicine and HealthUniversity of SydneySydneyNSW 2145Australia Guangzhou LaboratoryGuangzhou 510005China 

出 版 物：《Genomics, Proteomics & Bioinformatics》 (基因组蛋白质组与生物信息学报（英文版）)

年 卷 期：2023年第21卷第1期

页      面：13-23页

核心收录：

学科分类：0710[理学-生物学] 1001[医学-基础医学(可授医学、理学学位)] 07[理学] 071009[理学-细胞生物学] 09[农学] 0714[理学-统计学（可授理学、经济学学位）] 0703[理学-化学] 0901[农学-作物学] 0701[理学-数学] 090102[农学-作物遗传育种] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

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) 

主　　题：scRNA-seq Computational methodology Spatial transcriptome Data integration Mathematical model 

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