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Decoding dynamic epigenetic landscapes in human oocytes using single-cell multi-omics sequencing

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NIAID Data Ecosystem2026-03-13 收录
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE154762
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Developing female human germ cells undergo genome-wide epigenetic reprogramming, but de novo DNA methylation dynamics and their interplay with chromatin states and transcriptional activation in developing oocytes is poorly understood. Here, we developed a single-cell multi-omics sequencing method, scChaRM-seq, that enables simultaneous profiling of the DNA methylome, transcriptome, and chromatin accessibility in single human oocytes and ovarian somatic cells. We observed a global increase in DNA methylation during human oocyte growth that correlates with chromatin accessibility, whereas increases of DNA methylation at specific features were associated with active transcription. Integrated analyses of multi-omics data from humans and mice revealed species-specific gene expression, and promoter accessi- bility contributes to gene body methylation programs. Alu elements retained low DNA methylation levels and high accessibility in early growing oocytes and were located near developmental genes in humans and mice. Together, these findings show how scChaRM-seq can provide insight into DNA methylation pattern estab- lishment. 953 single human oocytes and somatic cells were performed by scChaRM-seq. Only 899 single cells that passed through the quality control were uploaded.
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2021-10-28
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