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Review Article

Recent progress in co-detection of single-cell transcripts and proteins

Shanqing Huang1,§Qian Fan2,4,§Yidi Wang1Zhi Huang2Weixiong Shi1Yanli Gong2Ting Yang4Jie Wang3( )Lingling Wu2( )Chaoyong Yang1,2( )
Discipline of Intelligent Instrument and Equipment, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China
Institute of Molecular Medicine, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
Department of General Surgery, Xiang’an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen 361101, China
Research Center for Analytical Sciences, Department of Chemistry, College of Sciences, Northeastern University, Shenyang 110819, China

§ Shanqing Huang and Qian Fan contributed equally to this work.

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Abstract

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.

Graphical Abstract

Co-analysis of transcripts and proteins from the same single cells opens the way to decipher complex RNA regulatory frameworks and phenotypes. Herein, we review the state-of-art advances in the development of methodologies for co-analysis of single-cell transcripts and proteins.

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Nano Research
Pages 132-150

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Cite this article:
Huang S, Fan Q, Wang Y, et al. Recent progress in co-detection of single-cell transcripts and proteins. Nano Research, 2024, 17(1): 132-150. https://doi.org/10.1007/s12274-023-5924-3
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Received: 05 May 2023
Revised: 11 June 2023
Accepted: 12 June 2023
Published: 01 August 2023
© Tsinghua University Press 2023