Simultaneous deep transcriptome and proteome profiling in a single mouse oocyte.

Cell Rep

Institute of Microanalytical Systems, Department of Chemistry, Zhejiang University, Hangzhou 310058, China; ZJU-Hangzhou Global Scientific and Technological Innovation Center, Hangzhou 311200, China; Key Laboratory of Excited-State Materials of Zhejiang Province, Zhejiang University, Hangzhou 310007, China. Electronic address:

Published: November 2023

AI Article Synopsis

  • Researchers developed a new platform called scSTAP that allows for simultaneous analysis of RNA and protein in single cells, using advanced technologies like microfluidics and mass spectrometry.
  • The platform was specifically tested on mouse oocytes in different stages of maturation, achieving high levels of gene and protein quantification.
  • This study identified key RNA-protein pairs related to oocyte maturation, which could enhance our understanding of transcriptional and translational processes during meiosis.

Article Abstract

Although single-cell multi-omics technologies are undergoing rapid development, simultaneous transcriptome and proteome analysis of a single-cell individual still faces great challenges. Here, we developed a single-cell simultaneous transcriptome and proteome (scSTAP) analysis platform based on microfluidics, high-throughput sequencing, and mass spectrometry technology to achieve deep and joint quantitative analysis of transcriptome and proteome at the single-cell level, providing an important resource for understanding the relationship between transcription and translation in cells. This platform was applied to analyze single mouse oocytes at different meiotic maturation stages, reaching an average quantification depth of 19,948 genes and 2,663 protein groups in single mouse oocytes. In particular, we analyzed the correlation of individual RNA and protein pairs, as well as the meiosis regulatory network with unprecedented depth, and identified 30 transcript-protein pairs as specific oocyte maturational signatures, which could be productive for exploring transcriptional and translational regulatory features during oocyte meiosis.

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http://dx.doi.org/10.1016/j.celrep.2023.113455DOI Listing

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