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Record W2038167955 · doi:10.1016/j.febslet.2011.01.045

Defective relocalization of ALS2/alsin missense mutants to Rac1-induced macropinosomes accounts for loss of their cellular function and leads to disturbed amphisome formation

2011· article· en· W2038167955 on OpenAlexaff
Asako Otomo, Ryota Kunita, Kyoko Suzuki-Utsunomiya, Joh‐E Ikeda, Shinji Hadano

Bibliographic record

VenueFEBS Letters · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCellular transport and secretion
Canadian institutionsChildren's Hospital of Eastern Ontario
FundersJapan Science and Technology Agency
KeywordsEndosomePinocytosisCell biologyRAC1MutantRetromerAutophagyActivator (genetics)RabBiologyChemistryEndocytosisGTPaseCellBiochemistryGeneSignal transductionApoptosis

Abstract

fetched live from OpenAlex

Loss of ALS2/alsin function accounts for several recessive motor neuron diseases. ALS2 is a Rab5 activator and its endosomal localization is regulated by Rac1 via macropinocytosis. Here, we show that the pathogenic missense ALS2 mutants fail to be localized to Rac1-induced macropinosomes as well as endosomes, which leads to loss of the ALS2 function as a Rab5 activator on endosomes. Further, these mutants lose the competence to enhance the formation of amphisomes, the hybrid-organelle formed upon fusion between autophagosomes and endosomes. Thus, Rac1-induced relocalization of ALS2 might be crucial to exert the ALS2 function associated with the autophagy-endolysosomal degradative pathway.

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)0.000
metaresearch head score (Gemma)0.000
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.015
GPT teacher head0.215
Teacher spread0.200 · 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

Citations48
Published2011
Admission routes1
Has abstractyes

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