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Record W7117725431 · doi:10.1080/15548627.2025.2610452

PEX14 powers OPTN (optineurin) to drive peroxisome turnover

2025· article· en· W7117725431 on OpenAlexaff
Jorge E. Azevedo, Marc Fransen

Bibliographic record

VenueAutophagy · 2025
Typearticle
Languageen
FieldMedicine
TopicAutophagy in Disease and Therapy
Canadian institutionsUniversity of Toronto
FundersKU Leuven
KeywordsAutophagyPeroxisomeOrganelleTransport proteinReceptorMembrane protein

Abstract

fetched live from OpenAlex

Cells maintain organelle integrity and metabolic balance through tightly coordinated quality control systems. Autophagy plays a central role by recycling damaged and unnecessary cellular components, with selective pathways providing specificity through dedicated receptors. Although OPTN is well-established as a receptor for mitophagy, aggrephagy, and xenophagy, its role in pexophagy, the selective autophagic degradation of peroxisomes, has only recently been recognized. Our recent work identifies the peroxisomal membrane protein PEX14 as a critical docking platform for OPTN, enabling recruitment of autophagic machinery and initiation of pexophagy. How PEX14 engages OPTN, what triggers this interaction, and how it drives the autophagic engulfment of peroxisomes remain unclear. In this punctum, we contextualize our findings and highlight unresolved questions that must be addressed to understand the physiological and pathological relevance of this process.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.400
Threshold uncertainty score1.000

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)0.0010.001

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 head0.007
GPT teacher head0.295
Teacher spread0.288 · 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.

Study designNot applicable
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 routes1
Has abstractyes

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