We applied the modified single-cell parallel sequencing (scM&T) technology to generate the transcriptome and methylome landscapes of mouse oocytes at different stages and at different ages. We reported both aging and maturation associated dynamics of transcriptome and DNA methylation in mouse oocytes, revealed underlying oocyte-specific regulatory mechanisms of DNA methylation on gene expression and established a model for predicting oocyte quality by identified novel molecular signatures. SOURCE: Yan Qian (tracyqianyan@gmail.com) -  The Chinese University of Hong Kong

Pluto Bioinformatics

GSE119906: Decoding aging and maturation related transcriptome and methylome dynamics in mouse oocytes by single cell parellel sequencing technology