Single-cell Transcriptome-Proteome-PTMome(x8)-Metabolome (scTPPM) co-profiling decodes multimodal regulation during mouse oocyte meiosis
Yi-Rong Jiang, Lan-Rui Cao, Xiao-Feng Ni, Jie Wu, Yi YangiD, Qin-Qin Xu, Yu-Meng Qiu, Ya-Xue Hou, Qiong Wu, Yu WangiD, Hong-Shan Guo, Jian-Zhang Pan, Xudong FuiD, Qun FangiD
Abstract
Single-cell multi-omics technology is crucial for comprehensive characterization of cellular molecular features. Despite recent advances in single-cell multi-omics approaches, co-profiling of nucleic acids, proteins, metabolites, and post-translational modifications (PTMs) within the same cell individuals remains major challenges. Here, we developed a single-cell transcriptome, proteome, PTMome, and metabolome (scTPPM) profiling approach, enabling simultaneous analysis of transcriptomes, proteomes, eight types of PTMs (e.g., phosphorylation, methylation, ubiquitination, O_GlcNAc, acetylation, crotonylation, lactylation, and succinylation), and metabolomes in individual cells. We demonstrated the scTPPM's performance in tumor cell lines and oocyte samples, reaching total identification and quantification of 27,668 genes, 4,847 proteins, 1,508 PTM sites, and 680 metabolites in single mouse oocytes. We profiled previously-uncharacterized dynamic crosstalk among the entire metabolic pathways from metabolic enzyme expression and regulation to metabolite-mediated post-translational modifications during oocyte maturation. In summary, scTPPM provided an effective workflow for multi-omics co-profiling in single cells, enabling multi-layered insights into complex regulatory network.
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