MétaCan
Menu
Back to cohort

Differential expression of the PSD-95 gene family in electrosensory neurons

2000· article· en· W1989015514 on OpenAlexaff
Sang Lee, Leonard Maler, Robert Dunn

Bibliographic record

VenueThe Journal of Comparative Neurology · 2000
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience and Neuropharmacology Research
Canadian institutionsUniversity of OttawaMcGill UniversityMontreal General Hospital
Fundersnot available
KeywordsBiologyForebrainCerebellumGuanylate kinaseNeuroscienceIn situ hybridizationGene expressionCell biologyCentral nervous systemGeneGeneticsMembrane protein

Abstract

fetched live from OpenAlex

The PSD-95 family of membrane-associated guanylate kinase (MAGUK) proteins are involved in the assembly and organization of neurotransmitter receptors at excitatory synapses in the vertebrate nervous system. We have isolated partial cDNAs for five PSD-95 family members from Apteronotus leptorhynchus brain RNA using a degenerate PCR method. The amino acid sequences deduced indicate that A. leptorhynchus neurons express homologues of the mammalian PSD-93, SAP-97, and SAP-102 MAGUKs and two homologues of mammalian PSD-95. In situ hybridization experiments have been carried out to localize the cellular expression of all five MAGUK mRNAs in the central nervous system of A. leptorhynchus. In the cerebellum the expression patterns are highly similar to patterns reported for mammalian cerebellum, suggesting an evolutionary conservation of the functional roles in this gene family. Cellular levels of expression of the PSD-95 MAGUK mRNAs and the NMDAR-1 mRNA were highly correlated in neurons of the dorsal forebrain but were not correlated in neurons of the electrosensory lateral line lobe (ELL) or the cerebellum. These results suggest that the expression of PSD-95 MAGUK genes in forebrain neurons may provide mechanisms for synaptic organization that are not shared by neurons in the ELL and cerebellum.

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 score0.002

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.077
GPT teacher head0.357
Teacher spread0.280 · 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

Citations7
Published2000
Admission routes1
Has abstractyes

Explore more

Same venueThe Journal of Comparative NeurologySame topicNeuroscience and Neuropharmacology ResearchFrench-language works237,207