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Record W1982859547 · doi:10.1001/archopht.125.1.128

Analyses of a Novel L130F Missense Mutation in FOXC1

2007· article· en· W1982859547 on OpenAlexaff
Yoko Ito

Bibliographic record

VenueArchives of Ophthalmology · 2007
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDevelopmental Biology and Gene Regulation
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMissense mutationMutationGeneticsBiologyMedicineGene

Abstract

fetched live from OpenAlex

OBJECTIVE: To understand how the novel L130F mutation, found in 2 patients with Axenfeld-Rieger syndrome, disrupts function of the forkhead box C1 protein (FOXC1). METHODS: Sequencing DNA from patients with Axenfeld-Rieger syndrome identified a novel missense mutation that results in an L130F substitution in the FOXC1 gene. Site-directed mutagenesis was used to introduce the L130F mutation into the FOXC1 complementary DNA. The level of L130F protein expression was determined by means of immunoblotting. We determined the mutant protein's ability to localize to the nucleus, bind DNA, and transactivate a reporter construct. RESULTS: The FOXC1 L130F mutant protein is expressed at levels similar to those of wild-type FOXC1. The L130F protein, however, migrated at an apparent reduced molecular weight compared with the wild-type protein, suggesting that the mutant and wild-type proteins may be differentially phosphorylated. The L130F protein also had a significantly impaired capacity to localize to the nucleus, bind DNA, and transactivate reporter genes. CONCLUSIONS: The disease-causing L130F mutation further demonstrates that helix 3 of the forkhead domain is important for the FOXC1 protein to properly localize to the nucleus, bind DNA, and activate gene expression. CLINICAL RELEVANCE: The inability of FOXC1 to function owing to the L130F mutation provides further insight into how disruptions in the FOXC1 gene lead to human Axenfeld-Rieger syndrome.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.345
Threshold uncertainty score0.296

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.034
GPT teacher head0.350
Teacher spread0.316 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations15
Published2007
Admission routes1
Has abstractyes

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