GametesOmics integrates multi-omics data from human and mouse gametogenesis to provide tools for analyzing gene expression, DNA methylation, and chromatin accessibility.

Genomics Proteomics & Bioinformatics · Dec 22, 2023Peer-reviewedBioinformatics

Single-cell multiomics sequencing reveals the functional regulatory landscape of early embryos

Yang Wang, Peng Yuan, Zhiqiang Yan, Ming Yang, Ying Huo, Yanli Nie, Xiaohui Zhu, Jie Qiao, Liying Yan

This study develops a single-cell multiomics sequencing method to analyze epigenetic and transcriptional dynamics in mouse preimplantation embryos, revealing regulatory networks and lineage specification mechanisms.

Nature Communications · Feb 23, 2021Peer-reviewedDevelopmental Biology

Comprehensive evaluation of ACE2 expression in female ovary by single-cell RNA-seq analysis

Siming Kong, Zhiqiang Yan, Peng Yuan, Xixi Liu, Yidong Chen, Ming Yang, Wei Chen, Song Shi, Jie Yan, Liying Yan, Jie Qiao

This study uses single-cell RNA-seq to evaluate ACE2 expression in ovarian tissues across developmental stages, identifying high ACE2 expression in PGCs and COC and its potential role in SARS-CoV-2 infection risk.

bioRxiv · Feb 23, 2021 · PreprintDevelopmental Biology

Transcriptome Landscape of Human Oocytes and Granulosa Cells Throughout Folliculogenesis

Yaoyao Zhang, Zhiqiang Yan, Qingyuan Qin, Vicki Nisenblat, Yang Yu, Tianren Wang, Cuiling Lu, Ming Yang, Shuo Yang, Ying Yao, Xiaohui Zhu, Xi Xia, Yujiao Dang, Yixin Ren, Peng Yuan, , Liying Yan

This study profiles the transcriptomes of human oocytes and granulosa cells across folliculogenesis stages, identifying stage-specific genes, cell interactions, and differences from mouse oocytes.

bioRxiv · Mar 23, 2018 · PreprintCell Biology