HCA Data Explorer

The regulatory landscapes of human ovarian ageing

Updated December 13, 2022

The 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.

Chen JinColumbia University Medical Centercj2643@cumc.columbia.edu
Chen Jin (Experimental Scientist)1
Xizhe Wang1
Adam D. Hudgins1
Amir Gamliel2
Mingzhuo Pei1
Seungsoo Kim1
Daniela Contreras1
Jan Hoeijmakers3
Judith Campisi4
Rogerio Lobo1
Zev Williams1
Michael G Rosenfeld2
Yousin Suh1
1Columbia University Medical Center
2Howard Hughes Medical Institute
3Erasmus University Medical Center Rotterdam, Rotterdam
4Lawrence Berkeley National Laboratory
Rachel Schwartz

To reference this project, please use the following link:

https://explore.data.humancellatlas.org/projects/0d4aaaac-02c3-44c4-8ae0-4465f97f83ed
None
INSDC Project Accessions:GEO Series Accessions:INSDC Study Accessions:

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Analysis Portals

None

Project Label

landscapesOfHumanOvarianAgeing

Species

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

2 library construction methods

Nucleic Acid Source

2 nucleic acid sources

Paired End

false

Analysis Protocol

cellranger_analysis, cellranger_atac_analysis

File Format

4 file formats

Cell Count Estimate

84.1k

Donor Count

8
fastq.gz40 file(s)tar1 file(s)txt2 file(s)xlsx1 file(s)