Accession PRJCA002540
Title Single-Cell Multi-Omics Sequencing Reveals the Dynamic Epigenome Landscape of Human Adult Spermatogenesis
Relevance Medical
Data types Epigenomics
Transcriptome or Gene expression
Raw sequence reads
Organisms Homo sapiens
Description Stepwise and sequential cell fate transition accomplished by global transcriptional changes occurs across human spermatogenesis, but the epigenome roadmap and regulatory networks underlying this process have not been established. Here, we explore a single-cell multi-omics landscape of human adult testicular cells using the single-cell chromatin overall omic-scale landscape sequencing (scCOOL-seq) technique, deriving an unbiased multi-omics reference map of human adult spermatogenesis. The initial commitment to meiosis coincides with a novel dramatic DNA demethylation process in non-coding regions that highly overlapped with crossover and double strand break (DSB) hotspots. Chromatin accessibility mainly accounts for the global expression dynamics in human spermatogenesis. Further studies identify the cis- regulatory elements of several key regulators such as STRA8, ID3, HMGA1 and TEX29 in human spermatogenesis. Thus, our data characterize the regulatory networks orchestrating gene expression and chromatin configuration under the state of normal human spermatogenesis and its perturbation imposed by disease lesion, providing novel insights into the association of epigenome with germ cell development and male infertility.
Sample scope Single cell
Release date 2022-04-15
Publication
PubMed ID Article title Journal name DOI Year
37723297 Single-cell multi-omics sequencing of human spermatogenesis reveals a DNA demethylation event associated with male meiotic recombination Nature Cell Biology 10.1038/s41556-023-01232-7 2023
Grants
Agency program Grant ID Grant title
National Natural Science Foundation of China (NSFC) 31671544
the National Key R&D Program of China 2016YFC1000606
Submitter Lin    Li  (smull22@smu.edu.cn)
Organization Southern Medical University
Submission date 2020-04-15

Project Data

Resource name Description
BioSample (1447)  show -