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Record W2131939645 · doi:10.4161/19336950.2014.949162

The MAP1B-LC1/UBE2L3 complex catalyzes degradation of cell surface Ca<sub>V</sub>2.2 channels

2014· article· en· W2131939645 on OpenAlexaff
María A. Gandini, Alejandro Sandoval, Gerald W. Zamponi, Ricardo Felix

Bibliographic record

VenueChannels · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicIon channel regulation and function
Canadian institutionsHotchkiss Brain InstituteUniversity of Calgary
Fundersnot available
KeywordsDegradation (telecommunications)ChemistryCell biologyCellBiophysicsBiochemistryBiologyComputer scienceTelecommunications

Abstract

fetched live from OpenAlex

We reported recently a new mechanism by which the neuronal N-type Ca(2+) (CaV2.2) channel expression may be regulated by ubiquitination. This mechanism involves the interaction between the channel and the light chain (LC1) of the microtubule associated protein B (MAP1B). We also showed that MAP1B-LC1 could interact with the ubiquitin-conjugating E2 enzyme UBE2L3 and that the ubiquitination/degradation mechanism triggered by MAP1B-LC1 could be prevented by inhibiting the ubiquitin-proteasome proteolytic pathway. We now report that MAP1B-LC1 can interact with the 2 main variants of the CaV2.2 channels (CaV2.2e37a and CaV2.2e37b) and that the MAP1B-LC1-mediated regulation most likely involves an internalization of the channels via a dynamin and clathrin-dependent pathway. In addition, here we propose that this novel mechanism of CaV channel regulation might be conserved among N-type and P/Q-type channels.

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 score0.001
Threshold uncertainty score0.007

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 integrity0.0000.000
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 head0.017
GPT teacher head0.228
Teacher spread0.211 · 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

Citations15
Published2014
Admission routes1
Has abstractyes

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