转录组
蛋白质组
生物
卵母细胞
计算生物学
细胞生物学
RNA序列
基因表达谱
减数分裂
抄写(语言学)
基因
遗传学
基因表达
胚胎
语言学
哲学
作者
Yirong Jiang,Le Zhu,Lan-Rui Cao,Qiong Wu,Jianbo Chen,Yu Wang,Jie Wu,Tianyu Zhang,Zhaolun Wang,Zhi-Ying Guan,Qinqin Xu,Qian-Xi Fan,Shao-Wen Shi,Hui-Feng Wang,Jian‐Zhang Pan,Xudong Fu,Wang Zhang,Qun Fang
出处
期刊:Cell Reports
[Elsevier]
日期:2023-11-01
卷期号:42 (11): 113455-113455
被引量:4
标识
DOI:10.1016/j.celrep.2023.113455
摘要
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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