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Record W1996228504 · doi:10.1371/journal.pone.0114718

STIM1 Positively Regulates the Ca2+ Release Activity of the Inositol 1,4,5-Trisphosphate Receptor in Bovine Aortic Endothelial Cells

2014· article· en· W1996228504 on OpenAlexafffund
Éric Béliveau, Vincent Lessard, Gaétan Guillemette

Bibliographic record

VenuePLoS ONE · 2014
Typearticle
Languageen
FieldNeuroscience
TopicIon Channels and Receptors
Canadian institutionsUniversité de Sherbrooke
FundersCanadian Institutes of Health Research
KeywordsSTIM1InositolInositol trisphosphate receptorIntracellularEndoplasmic reticulumCell biologyExtracellularORAI1ReceptorBiologyInositol trisphosphateChemistryBiochemistry

Abstract

fetched live from OpenAlex

The endothelium is actively involved in many functions of the cardiovascular system, such as the modulation of arterial pressure and the maintenance of blood flow. These functions require a great versatility of the intracellular Ca2+ signaling that resides in the fact that different signals can be encoded by varying the frequency and the amplitude of the Ca2+ response. Cells use both extracellular and intracellular Ca2+ pools to modulate the intracellular Ca2+ concentration. In non-excitable cells, the inositol 1,4,5-trisphosphate receptor (IP3R), located on the endoplasmic reticulum (ER), is responsible for the release of Ca2+ from the intracellular store. The proteins STIM1 and STIM2 are also located on the ER and they are involved in the activation of a store-operated Ca2+ entry (SOCE). Due to their Ca2+ sensor property and their close proximity with IP3Rs on the ER, STIMs could modulate the activity of IP3R. In this study, we showed that STIM1 and STIM2 are expressed in bovine aortic endothelial cells and they both interact with IP3R. While STIM2 appears to play a minor role, STIM1 plays an important role in the regulation of agonist-induced Ca2+ mobilization in BAECs by a positive effect on both the SOCE and the IP3R-dependent Ca2+ release.

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)0.001
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 score0.004
Threshold uncertainty score0.406

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.025
GPT teacher head0.218
Teacher spread0.193 · 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

Citations26
Published2014
Admission routes2
Has abstractyes

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