Premature Ovarian Failure 17 (POF17) Cell Models for Research
Disease Burden and Research Significance
Premature Ovarian Failure 17 (POF17) is a rare genetic disorder characterized by ovarian insufficiency before age 40, leading to infertility and estrogen deficiency. The prevalence of premature ovarian failure (POF) is approximately 1% in women, with genetic causes accounting for 20-25% of cases (WHO). POF17 specifically is caused by mutations in the MCM8 gene, which is involved in DNA replication and homologous recombination repair. The condition has significant psychological and physiological impacts, including increased risk of osteoporosis and cardiovascular disease. Early diagnosis and genetic counseling are crucial. Research into POF17 is essential for understanding ovarian development and function, and for developing potential therapeutic strategies.
POF17 serves as an excellent model for studying DNA repair mechanisms and their role in ovarian biology. The MCM8 gene is critical for meiotic recombination, and its dysfunction leads to ovarian failure. Researchers can utilize patient-derived cell lines and gene-edited models to investigate the molecular pathways involved. Public datasets such as those from NCBI Gene and ClinVar provide valuable information on mutations and phenotypes. Open questions include the precise role of MCM8 in follicle development and the potential for targeted therapies. Gene-edited cell models enable functional studies that are not possible with primary samples alone.
Core Molecular Pathogenesis
The primary pathway affected in POF17 is homologous recombination repair (HRR), which is essential for repairing double-strand breaks during meiosis. The MCM8 protein, along with MCM9, forms a helicase complex that facilitates HRR. Disruption of this pathway leads to accumulation of DNA damage and apoptosis of oocytes.
1. DNA double-strand break formation during meiosis.
2. Recruitment of MCM8-MCM9 complex to the break site.
3. Helicase activity unwinds DNA to allow strand exchange.
4. Defective MCM8 leads to incomplete repair and oocyte death.
Additionally, MCM8 may play a role in replication fork stability, and its loss can cause replication stress and genomic instability.
| Gene | Frequency (%) | Mutation Type | Functional Effect |
|---|---|---|---|
| MCM8 | ~100% in POF17 | Missense, frameshift, splice-site | Loss of helicase activity, impaired HRR |
| MCM9 | Rare | Missense | Impaired complex formation |
Data from ClinVar and NCBI Gene indicate that MCM8 mutations are the primary cause of POF17, with a variety of mutation types reported.
The MCM8 deficiency affects several signaling networks:
- • DNA damage response (DDR): Activation of ATM/ATR pathways due to unrepaired breaks.
- • Apoptosis: Upregulation of p53 and pro-apoptotic factors in oocytes.
- • Hormonal signaling: Disruption of follicle-stimulating hormone (FSH) and anti-Müllerian hormone (AMH) levels due to ovarian failure.
- • Inflammatory pathways: Chronic inflammation may result from cellular stress.
Key nodes include MCM8, MCM9, RAD51, BRCA1/2, and p53.
Experimental Model Systems
| Cell Line | Origin | Key Mutations |
|---|---|---|
| KGN | Human granulosa cell tumor | MCM8 wild-type (useful for overexpression studies) |
| COV434 | Human granulosa cell tumor | MCM8 wild-type |
| Patient-derived fibroblasts | POF17 patients | MCM8 mutations (e.g., c.1036C>T) |
Organoids derived from ovarian tissue can recapitulate folliculogenesis and are valuable for studying MCM8 function in a 3D context.
- • MCM8 knockout mice: Show ovarian failure and infertility, mimicking human POF17.
- • MCM8 mutant mouse models (e.g., point mutations) to study specific variants.
- • Patient-derived xenografts (PDX) are challenging for ovarian tissue but possible with ovarian tumor models.
- • Induced pluripotent stem cells (iPSCs) from patients can be differentiated into oocyte-like cells for in vitro studies.
CRISPR-Cas9 gene editing enables the creation of isogenic cell lines with specific MCM8 mutations. For example:
- • MCM8 knockout cell lines (e.g., in KGN or HEK293) to study loss-of-function.
- • MCM8 knock-in cell lines with patient-specific mutations (e.g., c.1036C>T) to model the disease.
- • Reporter cell lines with fluorescent tags to monitor DNA repair activity.
These models are commercially available from various sources and are sequence-verified to ensure accuracy. They accelerate research by providing consistent, reproducible systems for functional studies and drug screening.
Related Disease
| Disease name | Disease type |
|---|
Related Services
Related Products
| Product name | Cat.No. | Species | Gene ID | |
|---|---|---|---|---|
| SYCP2L Knockout HEK293 Cell Line | EDJ-KQ8872 | Human | 221711 | Details Get a Quote |
| SYCP2L Knockout A-549 Cell Line | EDJ-KQ35191 | Human | 221711 | Details Get a Quote |
| SYCP2L Knockout HCT 116 Cell Line | EDJ-KQ35192 | Human | 221711 | Details Get a Quote |
| SYCP2L Knockout HeLa Cell Line | EDJ-KQ59176 | Human | 221711 | Details Get a Quote |
Applications of Gene-Edited Cells
Gene-edited cell lines are used to validate the function of MCM8 and its interacting partners. For example, MCM8 knockout cells show increased sensitivity to DNA-damaging agents, confirming its role in HRR. Complementation assays with wild-type MCM8 can rescue the phenotype. Additionally, CRISPR screens can identify synthetic lethal partners of MCM8, revealing potential therapeutic targets.
Isogenic cell line pairs (wild-type vs. MCM8 knockout) are used to screen for compounds that selectively kill MCM8-deficient cells, a strategy known as synthetic lethality. For instance, PARP inhibitors have been shown to be effective in HRR-deficient cells. These models also help study resistance mechanisms that may arise during treatment.
CRISPR-based screens can identify biomarkers of MCM8 deficiency, such as genomic instability markers or gene expression signatures. These biomarkers can be used for patient stratification in clinical trials and for monitoring treatment response.
Public Data Resources
| Database | URL | Description |
|---|---|---|
| TCGA | https://portal.gdc.cancer.gov | Cancer genome data, though POF17 is not a cancer, related pathways can be studied. |
| cBioPortal | https://www.cbioportal.org | Visualization of genomic alterations in various cancers. |
| DepMap | https://depmap.org | CRISPR screens and dependency data for cancer cell lines. |
| GEO | https://www.ncbi.nlm.nih.gov/geo | Gene expression datasets, including ovarian tissue. |
| ClinVar | https://www.ncbi.nlm.nih.gov/clinvar | Clinical significance of MCM8 variants. |
| NCBI Gene | https://www.ncbi.nlm.nih.gov/gene/ | Gene information for MCM8. |
Frequently Asked Research Questions
What is the most common mutation in POF17?
How can I generate a POF17 cell model?
Are there commercially available POF17 cell lines?
What assays can be used to study MCM8 function?
Can POF17 models be used for drug discovery?
Key References and Database URLs
| WHO | https://www.who.int |
|---|---|
| NCI | https://www.cancer.gov |
| NCBI Gene | https://www.ncbi.nlm.nih.gov/gene/4174 |
| ClinVar | https://www.ncbi.nlm.nih.gov/clinvar/?term=MCM8 |
| DepMap | https://depmap.org |
| TCGA | https://portal.gdc.cancer.gov |
| cBioPortal | https://www.cbioportal.org |
| GEO | https://www.ncbi.nlm.nih.gov/geo |