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Record W2186309588 · doi:10.1042/bj20150907

A ternary complex comprising FAK, PTPα and IP3 receptor 1 functionally engages focal adhesions and the endoplasmic reticulum to mediate IL-1-induced Ca2+ signalling in fibroblasts

2015· article· en· W2186309588 on OpenAlexafffund
Qin Wang, Yongqiang Wang, Gregory P. Downey, Sergey V. Plotnikov, Christopher A. McCulloch

Bibliographic record

VenueBiochemical Journal · 2015
Typearticle
Languageen
FieldImmunology and Microbiology
TopicGalectins and Cancer Biology
Canadian institutionsUniversity of Toronto
FundersNational Heart, Lung, and Blood InstituteCanadian Institutes of Health Research
KeywordsEndoplasmic reticulumSTIM1Focal adhesionReceptorCell biologyTernary complexBiophysicsChemistrySignal transductionBiologyBiochemistry

Abstract

fetched live from OpenAlex

Ca(2+) release is tightly sequestered in eukaryotic cells to enable fine spatio-temporal control of signalling but how Ca(2+) release from the endoplasmic reticulum (ER) is linked to cell adhesions is not defined. We examined the spatial restriction of Ca(2+) release through the inositol 1,4,5-triphosphate receptor 1 (IP3R1) in response to interleukin-1 (IL-1) and the functions of the adhesion-associated proteins, focal adhesion kinase (FAK) and protein tyrosine phosphatase-α (PTPα). In cultured fibroblasts IL-1 treatment promoted co-localization of PTPα and FAK with the ER and increased association of IP3R1 with PTPα and FAK at focal adhesions (FAs). GST pull-down assays of purified proteins demonstrated that PTPα and FAK directly interacted with IP3R1. These interactions depended on the focal adhesion-targeting (FAT) and band4.1-ezrin-radixin-moesin (FERM) domains of FAK. PTPα was required for the association of IP3R1 with Src, which mediated IP3R1 phosphorylation and consequently ER Ca(2+) release. Collectively, these data indicate that PTPα and FAK, which are enriched in FAs, interact with IP3R1 at adjacent ER sites to spatially sequester IL-1-induced Ca(2+) signalling.

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)0.001
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 score0.118
Threshold uncertainty score0.504

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.001
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 head0.036
GPT teacher head0.253
Teacher spread0.218 · 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

Citations12
Published2015
Admission routes2
Has abstractyes

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