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Roles of the SH2 and SH3 domains in the regulation of neuronal Src kinase functions

2010· article· en· W1606313206 on OpenAlexaff
Bradley R. Groveman, Sheng Xue, Vedrana Marin, Jindong Xu, Mohammad Kutub Ali, Ewa A. Bienkiewicz, Xian‐Min Yu

Bibliographic record

VenueFEBS Journal · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtein Kinase Regulation and GTPase Signaling
Canadian institutionsUniversity of Toronto
FundersNational Institute of Neurological Disorders and Stroke
KeywordsSH2 domainProto-oncogene tyrosine-protein kinase SrcSH3 domainTyrosine-protein kinase CSKCell biologyTyrosine kinaseProtein kinase domainKinasePhosphorylationBiologyChemistryBiochemistrySignal transduction

Abstract

fetched live from OpenAlex

Previous studies demonstrated that intra-domain interactions between Src family kinases (SFKs), stabilized by binding of the phosphorylated C-terminus to the SH2 domain and/or binding of the SH2 kinase linker to the SH3 domain, lock the molecules in a closed conformation, disrupt the kinase active site, and inactivate SFKs. Here we report that the up-regulation of N-methyl-d-aspartate receptors (NMDARs) induced by expression of constitutively active neuronal Src (n-Src), in which the C-terminus tyrosine is mutated to phenylalanine (n-Src/Y535F), is significantly reduced by dysfunctions of the SH2 and/or SH3 domains of the protein. Furthermore, we found that dysfunctions of SH2 and/or SH3 domains reduce auto-phosphorylation of the kinase activation loop, depress kinase activity, and decrease NMDAR phosphorylation. The SH2 domain plays a greater regulatory role than the SH3 domain. Our data also show that n-Src binds directly to the C-terminus of the NMDAR NR2A subunit in vitro, with a KD of 108.2 ± 13.3 nm. This binding is not Src kinase activity-dependent, and dysfunctions of the SH2 and/or SH3 domains do not significantly affect the binding. These data indicate that the SH2 and SH3 domains may function to promote the catalytic activity of active n-Src, which is important in the regulation of NMDAR functions. Structured digital abstract • MINT-8074560: NR2A (uniprotkb:Q00959) binds (MI:0407) to n-Src (uniprotkb:P05480) by surface plasmon resonance (MI:0107) • MINT-8074641, MINT-8074668, MINT-8074679, MINT-8074693, MINT-8074813: n-Src (uniprotkb:P05480) and n-Src (uniprotkb:P05480) phosphorylate (MI:0217) by protein kinase assay (MI:0424) • MINT-8074576, MINT-8074726, MINT-8074741, MINT-8074777: n-Src (uniprotkb:P05480) phosphorylates (MI:0217) NR2A (uniprotkb:Q00959) by protein kinase assay (MI:0424)

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.621
Threshold uncertainty score0.125

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 head0.008
GPT teacher head0.227
Teacher spread0.220 · 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

Citations18
Published2010
Admission routes1
Has abstractyes

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