Simultaneous deep transcriptome and proteome profiling in single mouse oocytes

Nowadays, 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 19948 genes and 2663 protein groups in single mouse oocytes. We analyzed the transciptomes of single mouse oocytes at GV and MII stages using the MATQ-seq.当前，尽管单细胞多组学（single-cell multi-omics）技术正处于快速发展阶段，但对单个细胞同时开展转录组与蛋白质组分析仍面临诸多严峻挑战。为此，我们基于微流控、高通量测序与质谱技术，开发了单细胞同步转录组与蛋白质组（single-cell simultaneous transcriptome and proteome, scSTAP）分析平台，可实现单细胞层面转录组与蛋白质组的深度联合定量分析，为解析细胞内转录与翻译的关联关系提供了重要研究资源。我们将该平台应用于分析不同减数分裂成熟阶段的小鼠单个卵母细胞，实现了单个小鼠卵母细胞的平均定量深度达19948个基因与2663个蛋白群组。我们采用MATQ-seq技术对GV期与MII期的单个小鼠卵母细胞的转录组进行了分析。