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Record W2916867214 · doi:10.1080/15548627.2019.1586261

An autophagy-independent role for ATG16L1: promoting lysosome-mediated plasma membrane repair

2019· letter· en· W2916867214 on OpenAlexafffund
Joel M. J. Tan, Nora Mellouk, John H. Brumell

Bibliographic record

VenueAutophagy · 2019
Typeletter
Languageen
FieldMedicine
TopicAutophagy in Disease and Therapy
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
FundersCanadian Institutes of Health Research
KeywordsAutophagyATG16L1LysosomeBiologyCell biologyExocytosisTFEBMembraneHomeostasisBiochemistryEnzymeApoptosis

Abstract

fetched live from OpenAlex

There is growing evidence in the literature for unconventional roles of autophagy-related (ATG) proteins, outside of their function in canonical autophagy. Here we discuss our recent study that revealed a novel ATG16L1-dependent pathway that promotes plasma membrane repair upon bacterial pore-forming toxin damage. Disruption of the ATG16L1-dependent pathway leads to an accumulation of cholesterol in lysosomes, which affects lysosomal exocytosis required for efficient membrane repair. Our study provides insights into the role of ATG16L1 in cholesterol homeostasis and plasma membrane integrity.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0100.006
Insufficient payload (model declined to judge)0.0030.002

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 head0.013
GPT teacher head0.273
Teacher spread0.259 · 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 source (direct Gemma or distilled Codex), 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

Citations14
Published2019
Admission routes2
Has abstractyes

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