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

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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.
出处 《Genomics, Proteomics & Bioinformatics》 SCIE CAS CSCD 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).
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