Premature Ovarian Failure 1 (POF1) Cell Models for Research

Disease Burden and Research Significance

Epidemiology and Clinical Impact

Premature Ovarian Failure 1 (POF1) is a rare genetic disorder characterized by ovarian insufficiency before age 40, leading to infertility and estrogen deficiency. The prevalence is estimated at 1 in 10,000 women, with significant psychological and physiological impacts. POF1 is a major cause of female infertility, and early diagnosis is critical for management. The condition is associated with increased risks of osteoporosis, cardiovascular disease, and reduced quality of life. Research into POF1 is essential for developing therapeutic strategies and genetic counseling.

Value as a Research Model

POF1 serves as an excellent model for studying ovarian development, folliculogenesis, and hormonal regulation. The disease is primarily caused by mutations in the FMR1 gene, leading to fragile X premutation-associated ovarian insufficiency. This provides a clear genetic basis for mechanistic studies. Public datasets, such as those from the NCBI and ClinVar, offer extensive mutation data. Open questions include the molecular pathways linking FMR1 mutations to ovarian dysfunction and potential therapeutic targets. Gene-edited cell models are invaluable for dissecting these pathways and testing interventions.

Core Molecular Pathogenesis

Major Carcinogenic Pathways

Although POF1 is not a cancer, the molecular pathways involved are relevant to cellular stress and apoptosis. Key pathways include:

  • • FMR1 mRNA toxicity: Expanded CGG repeats in the 5' UTR of FMR1 lead to elevated mRNA levels, which sequester RNA-binding proteins, causing cellular toxicity.
  • • Mitochondrial dysfunction: FMR1 mRNA accumulation disrupts mitochondrial function, leading to increased reactive oxygen species (ROS) and apoptosis.
  • • Apoptotic signaling: Activation of caspase cascades and pro-apoptotic factors (e.g., BAX) in ovarian granulosa cells.
  • • Hormonal signaling disruption: Impaired FSH receptor signaling due to granulosa cell dysfunction, affecting follicular maturation.
High-Frequency Genetic Alterations
GeneFrequency (%)Mutation TypeFunctional Effect
FMR1~90%CGG repeat expansion (premutation: 55-200 repeats)Increased mRNA, reduced FMRP protein, RNA toxicity
Others (e.g., BMP15, FOXL2)<10%Point mutationsImpaired oocyte development or granulosa cell function

Data from ClinVar and NCBI Gene.

Deregulated Signaling Networks

Key signaling networks affected in POF1:

  • • FSH signaling: Reduced FSH receptor expression or downstream cAMP/PKA pathway impairment.
  • • PI3K/AKT/mTOR: Dysregulation affecting granulosa cell proliferation and survival.
  • • TGF-β/BMP signaling: Mutations in BMP15 or other TGF-β family members disrupt folliculogenesis.
  • • Apoptotic pathways: Activation of p53 and caspases due to cellular stress.

Experimental Model Systems

Cell Lines and Organoids
Cell LineOriginKey Mutations
KGNHuman ovarian granulosa cell tumorWild-type FMR1; useful for FSH signaling studies
COV434Human granulosa cell tumorWild-type FMR1; used for hormonal studies
Primary granulosa cellsHuman ovarian folliclesPatient-derived; may carry FMR1 premutation

Organoids derived from ovarian tissue can recapitulate follicular development and are useful for studying early stages of POF1.

Animal Models (PDX, GEMM, Induced)
  • • FMR1 knockout mice: Lack FMRP, but do not exhibit ovarian insufficiency, indicating species differences.
  • • FMR1 premutation knock-in mice: Carry expanded CGG repeats, showing elevated Fmr1 mRNA and ovarian dysfunction, recapitulating POF1 features.
  • • Induced models: Chemical or hormonal induction of ovarian failure in mice for therapeutic testing.
Gene-Edited Cell Models

CRISPR-based gene editing enables the creation of isogenic cell lines with precise FMR1 mutations. For example:

  • • FMR1 knockout cell lines: Generated by CRISPR-mediated deletion, eliminating FMRP expression.
  • • FMR1 premutation knock-in cell lines: Introducing expanded CGG repeats to mimic the pathogenic state.
  • • Reporter cell lines: Fusing a fluorescent reporter to FMR1 promoter to monitor gene expression.

These models are commercially available and sequence-verified, allowing researchers to study molecular mechanisms and screen therapeutic compounds in a controlled genetic background.

Related Disease

Disease name Disease type

Related Products

Product name Cat.No. Species Gene ID
FMR1 Knockout HEK293T Cell Line EDJ-KQ215 Human 2332 Details Get a Quote
FSHR Knockout HEK293 Cell Line EDJ-KQ1776 Human 2492 Details Get a Quote
FOXL2 Knockout HEK293 Cell Line EDJ-KQ2444 Human 668 Details Get a Quote
FMR1 Knockout HEK293 Cell Line EDJ-KQ3472 Human 2332 Details Get a Quote
KHDRBS1 Knockout HEK293 Cell Line EDJ-KQ3548 Human 10657 Details Get a Quote
DAZL Knockout HEK293 Cell Line EDJ-KQ3688 Human 1618 Details Get a Quote
AFF2 Knockout HEK293 Cell Line EDJ-KQ4619 Human 2334 Details Get a Quote
GDF9 Knockout HEK293 Cell Line EDJ-KQ4695 Human 2661 Details Get a Quote
GNRH1 Knockout HEK293 Cell Line EDJ-KQ4735 Human 2796 Details Get a Quote
INHA Knockout HEK293 Cell Line EDJ-KQ4995 Human 3623 Details Get a Quote
PURA Knockout HEK293 Cell Line EDJ-KQ5608 Human 5813 Details Get a Quote
BMP15 Knockout HEK293 Cell Line EDJ-KQ6500 Human 9210 Details Get a Quote
FOXP2 Knockout HEK293 Cell Line EDJ-KQ11268 Human 93986 Details Get a Quote
MCM9 Knockout HEK293 Cell Line EDJ-KQ11767 Human 254394 Details Get a Quote
LGR6 Knockout HEK293 Cell Line EDJ-KQ14065 Human 59352 Details Get a Quote
Displaying Records 1 To 15 Of 75 Records

Applications of Gene-Edited Cells

Functional Genomics

Gene-edited cell lines are essential for functional validation of POF1-associated genes. For example:

  • • Knockout of FMR1 in granulosa cells to study the impact on cell viability and hormone production.
  • • Knock-in of pathogenic point mutations (e.g., in BMP15) to assess effects on oocyte development.
  • • CRISPR screens to identify modifiers of FMR1 mRNA toxicity.
Drug Screening and Resistance

Isogenic pairs (wild-type vs. mutant) enable high-throughput screening for compounds that rescue the mutant phenotype. For instance:

  • • Screening for drugs that reduce FMR1 mRNA levels or alleviate mitochondrial dysfunction.
  • • Testing hormone replacement therapies in vitro.
  • • Modeling resistance to apoptosis in mutant cells.
Biomarker Discovery

CRISPR-based synthetic lethality screens can identify genes that, when silenced, selectively kill mutant cells. This approach can uncover novel therapeutic targets and biomarkers for early diagnosis. For example, targeting pathways that are essential for survival of FMR1-premutation cells.

Public Data Resources

DatabaseURLDescription
TCGAhttps://www.cancer.gov/tcgaCancer genomics data (not specific to POF1)
cBioPortalhttps://www.cbioportal.org/Visualization of genomic alterations
DepMaphttps://depmap.org/portal/CRISPR screens and cell line dependencies
GEOhttps://www.ncbi.nlm.nih.gov/geo/Gene expression datasets
ClinVarhttps://www.ncbi.nlm.nih.gov/clinvar/Clinical variant interpretations
NCBI Genehttps://www.ncbi.nlm.nih.gov/gene/Gene information and sequences

Frequently Asked Research Questions

The most common cause is a premutation expansion (55-200 CGG repeats) in the FMR1 gene, leading to elevated mRNA and RNA toxicity.
Knockout of FMR1 eliminates FMRP protein, but does not fully mimic the premutation phenotype because the toxicity is due to elevated mRNA. Knock-in of expanded repeats is more accurate.
KGN and COV434 are commonly used, but primary granulosa cells from patients are most relevant. Gene-edited isogenic lines are recommended for controlled experiments.
They allow high-throughput screening for compounds that reduce FMR1 mRNA levels, rescue mitochondrial function, or prevent apoptosis.
Yes, several biotechnology companies offer custom CRISPR-engineered cell lines, including knockouts and knock-ins, with sequence verification.

Key References and Database URLs

WHO https://www.who.int/health-topics/infertility
NCI https://www.cancer.gov
NCBI Gene https://www.ncbi.nlm.nih.gov/gene/
ClinVar https://www.ncbi.nlm.nih.gov/clinvar/
DepMap https://depmap.org/portal/
COSMIC https://cancer.sanger.ac.uk/cosmic
UniProt https://www.uniprot.org/
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