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作 者:Shanqing Huang Qian Fan Yidi Wang Zhi Huang Weixiong Shi Yanli Gong Ting Yang Jie Wang Lingling Wu Chaoyong Yang
机构地区:[1]Discipline of Intelligent Instrument and Equipment,College of Chemistry and Chemical Engineering,Xiamen University,Xiamen 361005,China [2]Institute of Molecular Medicine,Renji Hospital,Shanghai Jiao Tong University School of Medicine,Shanghai 200127,China [3]Department of General Surgery,Xiang’an Hospital of Xiamen University,School of Medicine,Xiamen University,Xiamen 361101,China [4]Research Center for Analytical Sciences,Department of Chemistry,College of Sciences,Northeastern University,Shenyang 110819,China
出 处:《Nano Research》2024年第1期132-150,共19页纳米研究(英文版)
基 金:the National Natural Science Foundation of China(Nos.22293031,22004083,21927806,82227801,and 82341023);the National Key R&D Program of China(No.2019YFA0905800);the Innovative research team of high-level local universities in Shanghai(No.SHSMU-ZLCX20212601)for their financial support.
摘 要:Cellular heterogeneity is a universal property of living systems,and the interrogation of single cells facilitates in-depth understanding of distinct cellular states and functions in various biological processes.Co-analysis of transcripts and proteins from the same single cells opens the way to decipher complex RNA regulatory frameworks and phenotypes,facilitating the understanding of cellular fate and function regulations,discovery of novel cell types,and construction of a high-resolution cell atlas.Herein,we review the state-of-art advances in the development of methodologies for co-analysis of single-cell transcripts and proteins.First,imaging-based methods are summarized with particular emphasis on optical and mass spectrometry imaging.Next,sequencing-based approaches for high-throughput and sensitive co-analysis of single-cell transcripts and proteins are described,including droplet-,microwell-,and split-pool-based platforms.Subsequently,combined methods with more flexibility and universality are discussed.These methods commonly employ different strategies or reactions to convert transcripts and proteins of single cells into distinct signals simultaneously,which can be detected by different instruments or platforms.Lastly,some perspectives on the future challenges and development trends in this field are presented.
关 键 词:single cell optical imaging mass spectrometry imaging single-cell RNA sequencing(scRNA-seq) co-detection
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