The regulatory landscapes of human ovarian ageing
Updated December 13, 2022The ovary is the first organ to age in the human body, affecting both fertility and overall health in women. However, the biological mechanisms underlying human ovarian ageing remain poorly understood. Here we performed single-cell multi-omics analysis of young and reproductively aged human ovaries to understand the molecular and cellular basis of ovarian ageing in humans. Our analysis reveals coordinated changes in transcriptomic output and chromatin accessibility across cell types during ageing, including elevated mTOR and MAPK signaling, decreased activity of the oxidative phosphorylation and DNA damage repair pathways, and an increased signature of cellular senescence. By constructing cell type-specific regulatory networks, we uncover enhanced activity of the transcription factor CEBPD across cell types in the aged ovary, with a corresponding significant loss of activity of most cell identity-associated transcription factors. Moreover, by performing integrative analyses of our single-nuclei multi-omics data with common genetic variants associated with age at natural menopause (ANM) from genome-wide association studies, we demonstrate a global impact of functional variants on changes in gene regulatory networks across ovarian cell types. Finally, we nominate about a dozen of functional non-coding variants, their target genes and cell types and regulatory mechanisms that underlie genetic association with ANM. This work provides a comprehensive multimodal landscape of human ovarian ageing and mechanistic insights into inherited variation of ANM.
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Atlas
Analysis Portals
NoneProject Label
landscapesOfHumanOvarianAgeingSpecies
Homo sapiens
Sample Type
specimens
Anatomical Entity
ovary
Organ Part
Unspecified
Selected Cell Types
Unspecified
Disease Status (Specimen)
normal
Disease Status (Donor)
normal
Development Stage
human adult stage
Library Construction Method
Nucleic Acid Source
Paired End
falseAnalysis Protocol
cellranger_analysis, cellranger_atac_analysisFile Format
Cell Count Estimate
84.1kDonor Count
8