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Updated: Jun 22, 2026

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Mapping the Structure-Function Relationships of Disordered Oncogenic Transcription Factors Using Transcriptomic Analysis
Published on: June 27, 2020
Towards a functional classification of pathogenic FOXL2 mutations using transactivation reporter systems
Aurélie Dipietromaria1, Bérénice A Benayoun, Anne-Laure Todeschini
1UMR7592-CNRS, Institut Jacques Monod, 75013 Paris, France.
Human Molecular Genetics
|June 12, 2009
Summary
FOXL2 gene mutations cause Blepharophimosis-Ptosis-Epicanthus Inversus Syndrome (BPES), sometimes with premature ovarian failure (POF). This study develops a tool to predict POF risk based on FOXL2 variant function and localization, improving genotype-phenotype correlation.
Area of Science:
- Genetics
- Molecular Biology
- Endocrinology
Background:
- Mutations in the FOXL2 gene are linked to Blepharophimosis-Ptosis-Epicanthus Inversus Syndrome (BPES).
- BPES can be associated with premature ovarian failure (POF), but predicting this link from genotype is challenging due to exceptions.
- Existing knowledge lacks clear correlations between mutant FOXL2 protein behavior (aggregation, localization) and BPES type.
Purpose of the Study:
- To investigate the molecular and functional effects of FOXL2 mutants.
- To establish a functional classification framework for FOXL2 variants to predict POF risk.
- To explore correlations between subcellular mislocalization/aggregation of mutant FOXL2 and BPES type.
Main Methods:
- Analysis of 10 known FOXL2 mutants associated with BPES (with or without POF).
- Assessment of transcriptional activity of FOXL2 variants using reporter promoter assays.
- Evaluation of subcellular localization and aggregation patterns of mutant FOXL2 forms.
Main Results:
- A correlation was found between the transcriptional activity of FOXL2 variants and the type of BPES.
- Reporter assays allowed functional classification and assessment of POF risk for 18 missense mutations.
- Subcellular mislocalization and intranuclear aggregation of mutant FOXL2 were correlated with BPES type and potential ovarian dysfunction.
Conclusions:
- A functional classification tool based on transcriptional activity can help predict POF risk in BPES patients.
- Subcellular mislocalization and aggregation of mutant FOXL2 serve as potential indicators of ovarian dysfunction.
- This study provides a framework to improve the genotype-phenotype correlation for FOXL2 mutations in BPES.

