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Record W4404110381 · doi:10.1038/s41398-024-03168-4

Master regulators of neurogenesis: the dynamic roles of Ephrin receptors across diverse cellular niches

2024· review· en· W4404110381 on OpenAlexafffund
Dilan Rasool, Arezu Jahani‐Asl

Bibliographic record

VenueTranslational Psychiatry · 2024
Typereview
Languageen
FieldNeuroscience
TopicAxon Guidance and Neuronal Signaling
Canadian institutionsOttawa HospitalMcGill UniversityJewish General HospitalUniversity of Ottawa
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health Research
KeywordsNeurogenesisNeuroscienceBiologyNeural stem cellReceptor tyrosine kinaseEphrinReceptorErythropoietin-producing hepatocellular (Eph) receptorCell biologyStem cellGenetics

Abstract

fetched live from OpenAlex

The ephrin receptors (EphRs) are the largest family of receptor tyrosine kinases (RTKs) that are abundantly expressed in the developing brain and play important roles at different stages of neurogenesis ranging from neural stem cell (NSC) fate specification to neural migration, morphogenesis, and circuit assembly. Defects in EphR signalling have been associated with several pathologies including neurodevelopmental disorders (NDDs), intellectual disability (ID), and neurodegenerative diseases (NDs). Here, we review our current understanding of the complex and dynamic role of EphRs in the brain and discuss how deregulation of these receptors contributes to disease, highlighting their potential as valuable druggable targets.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.074
GPT teacher head0.339
Teacher spread0.264 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations11
Published2024
Admission routes2
Has abstractyes

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