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LGI1 Is a Nogo Receptor 1 Ligand that Antagonizes Myelin-Based Growth Inhibition

2010· article· en· W2166939868 on OpenAlexafffund
Rhalena A. Thomas, Kristy Favell, José Manuel Morante‐Redolat, Madeline Pool, Christopher Kent, Melissa Wright, Kathleen Daignault, Gino B. Ferraro, Samuel Montcalm, Yves Durocher, Alyson E. Fournier, Jordi Pérez‐Tur, Philip Barker

Bibliographic record

VenueJournal of Neuroscience · 2010
Typearticle
Languageen
FieldNeuroscience
TopicNerve injury and regeneration
Canadian institutionsNational Research Council CanadaBiotechnology Research InstituteMcGill UniversityMontreal Neurological Institute and Hospital
FundersCanadian Institutes of Health ResearchGeneralitat ValencianaNatural Sciences and Engineering Research Council of CanadaMcGill University
KeywordsMyelinInhibitory postsynaptic potentialMyelin-associated glycoproteinBiologyReceptorNeuroscienceGrowth coneCell biologyLigand (biochemistry)AxonGeneticsCentral nervous system

Abstract

fetched live from OpenAlex

Mutations in leucine-rich glioma inactivated (LGI1) are a genetic cause of autosomal dominant temporal lobe epilepsy with auditory features. LGI1 is a secreted protein that shares homology with members of the SLIT family, ligands that direct axonal repulsion and growth cone collapse, and we therefore considered the possibility that LGI1 may regulate neuronal process extension or growth cone collapse. Here we report that LGI1 does not affect growth directly but instead enhances neuronal growth on myelin-based inhibitory substrates and antagonizes myelin-induced growth cone collapse. We show that LGI1 mediates this effect by functioning as a specific Nogo receptor 1 (NgR1) ligand that antagonizes the action of myelin-based inhibitory cues. Finally, we demonstrate that NgR1 and ADAM22 physically associate to form a receptor complex in which NgR1 facilitates LGI1 binding to ADAM22.

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 score0.003

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 head0.037
GPT teacher head0.277
Teacher spread0.241 · 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

Citations81
Published2010
Admission routes2
Has abstractyes

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