Associated organisationsImperial College London · University of Cambridge · University of ExeterEurope PMC affiliations are not treated as award recipients or mapped locations.
Funding£3.8M
PeriodAug 2024 — Jul 2030
In plain English
AI plain-English summary
The ovary is largely a black box to biologists, and the HERA study will crack it open by mapping the genetic instructions that control how it ages. Reproductive ageing in women is poorly understood, partly because ovarian tissue is difficult to obtain at different life stages. Human genetic studies have identified many genes linked to fertility and ovarian disease, but researchers lack the tools to test what those genes actually do. This project will combine large-scale human genomics with CRISPR screens in lab-grown ovarian cells and experiments in mice, creating a systematic way to identify which genes drive ovarian ageing and disease. If successful, the HERA study will produce a public knowledge portal—a resource for the global research community—that pinpoints high-confidence targets for future therapies. This could eventually lead to treatments that preserve fertility in women undergoing cancer therapy or slow ovarian ageing more broadly. It may also uncover mechanisms behind ovary-centric disorders such as polycystic ovary syndrome and premature ovarian insufficiency, conditions that currently have few targeted treatments.
View original technical description
Reproductive health in women is under-researched and the field lacks key experimental tools and resources to advance biological understanding. Human genetic approaches have identified many determinants of reproductive ageing and disease risk, however extracting mechanistic insight from these findings has been challenging given the inaccessibility of ovarian tissue across different developmental stages. To address this, the HERA study will integrate human genetic approaches with functional studies in model systems. We will use multi-omics to annotate the regulatory landscape of the human genome across ovarian development and ageing. Genome-wide functional CRISPR screens with relevant cellular models will identify genes influencing ovarian phenotypes. These data will be integrated with our human omics datasets to identify high confidence targets for further characterization in in vivo mouse models. Our functional models will address two important phenotypes: reproductive ageing and ovary-centric disease. This synergistic approach, bringing together lead researchers and collaborators across multiple disciplines, will overcome some of the long-standing limitations in studying the ovary. We will provide the scientific and clinical community with new and much-needed tools and resources, accessed via our HERA knowledge portal. Our findings will inform future therapeutic approaches to preserve fertility and treat ovary-centric disorders.
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