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Record W4409406747 · doi:10.1242/jcs.263657

The P4-phospholipid flippase Atp11a is required for maintenance of eye and ear structure in zebrafish

2025· article· en· W4409406747 on OpenAlexafffund
Alexia Hawkey-Noble, Cameron Tobin, Mahmud-ul Ameen, Liam Osmond, Christina S. Bottaro, Terry‐Lynn Young, Curtis R. French

Bibliographic record

VenueJournal of Cell Science · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicLipid Membrane Structure and Behavior
Canadian institutionsMemorial University of Newfoundland
FundersNatural Sciences and Engineering Research Council of CanadaMemorial University of Newfoundland
KeywordsBiologyZebrafishCell biologyMutantFlippaseStereocilia (inner ear)PhosphatidylethanolaminePhosphatidylserineInner earAnatomyGeneticsPhospholipidGeneHair cellMembrane

Abstract

fetched live from OpenAlex

The atp11a gene encodes a phospholipid flippase protein required to flip phosphatidylserine (PS) and phosphatidylethanolamine (PE) from the outer leaflet of the cytoplasmic membrane to the inner leaflet. Mutations in ATP11A have been described in individuals with sensorineural hearing loss and neurological deterioration; however, little is known regarding the mechanism by which loss of atp11a results in such phenotypes. To this end, we created loss-of-function atp11a mutant zebrafish to characterize potential disease states. We demonstrate that mutant atp11a zebrafish display a reduced number of stereocilia in the larval ear and a reduced number of hair cells in some sensory neuromasts, indicating that these fish represent an ideal model for studying atp11a-attributable hearing loss. In addition, atp11a mutant zebrafish raised in a standard light cycle have reduced photoreceptor outer segments, the severity of which is lessened when mutant larvae are raised in the dark. Photoreceptors that do remain in homozygous atp11a mutants undergo mitochondrial fission and produce an increased number of mitochondria, suggesting that defects in energy homeostasis may contribute to or result from outer segment degradation.

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 score0.021
Threshold uncertainty score0.197

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 head0.005
GPT teacher head0.260
Teacher spread0.255 · 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

Citations0
Published2025
Admission routes2
Has abstractyes

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