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Record W2953941978 · doi:10.1016/j.celrep.2019.06.005

Myosin VI Drives Clathrin-Mediated AMPA Receptor Endocytosis to Facilitate Cerebellar Long-Term Depression

2019· article· en· W2953941978 on OpenAlexfundno aff
Wolfgang Wagner, Kristina Lippmann, Frank F. Heisler, Kira V. Gromova, Franco L. Lombino, Mona K. Roesler, Yvonne Pechmann, Sönke Hornig, Michaela Schweizer, Simona Polo, Jürgen R. Schwarz, Jens Eilers, Matthias Kneussel

Bibliographic record

VenueCell Reports · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCellular transport and secretion
Canadian institutionsnot available
FundersSeventh Framework ProgrammeDeutsche ForschungsgemeinschaftM.S.I. Foundation
KeywordsLong-term depressionMyosinCell biologyAMPA receptorClathrinSynaptic plasticityEndocytosisBiologySynapseNeuroscienceChemistryReceptorGlutamate receptorBiochemistry

Abstract

fetched live from OpenAlex

Myosin VI is an actin-based cytoskeletal motor implicated in various steps of membrane trafficking. Here, we investigated whether this myosin is crucial for synaptic function and plasticity in neurons. We find that myosin VI localizes at cerebellar parallel fiber to Purkinje cell synapses and that the myosin is indispensable for long-term depression of AMPA-receptor-mediated synaptic signal transmission at this synapse. Moreover, direct visualization of GluA2-containing AMPA receptors in Purkinje cells reveals that the myosin drives removal of AMPA receptors from the surface of dendritic spines in an activity-dependent manner. Co-immunoprecipitation and super-resolution microscopy indicate that specifically the interaction of myosin VI with the clathrin adaptor component α-adaptin is important during long-term depression. Together, these data suggest that myosin VI directly promotes clathrin-mediated endocytosis of AMPA receptors in Purkinje cells to mediate cerebellar long-term depression. Our results provide insights into myosin VI function and the molecular mechanisms underlying synaptic plasticity.

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 score0.185
Threshold uncertainty score0.954

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 head0.011
GPT teacher head0.215
Teacher spread0.204 · 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

Citations30
Published2019
Admission routes1
Has abstractyes

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