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Structurally delineating stromal interaction molecules as the endoplasmic reticulum calcium sensors and regulators of calcium release‐activated calcium entry

2009· review· en· W1992735552 on OpenAlexaff
Peter B. Stathopulos, Mitsuhiko Ikura

Bibliographic record

VenueImmunological Reviews · 2009
Typereview
Languageen
FieldNeuroscience
TopicIon Channels and Receptors
Canadian institutionsOntario Institute for Cancer Research
Fundersnot available
KeywordsEndoplasmic reticulumCalciumCell biologySTIM1Calcium signalingBiologyStromal cellCalcium-binding proteinSignal transductionMedicineInternal medicineCancer research

Abstract

fetched live from OpenAlex

The endoplasmic reticulum (ER) lumen stores a crucial source of calcium (Ca2+) maintained orders of magnitude higher than the cytosol for the activation of a plethora of cellular responses transmitted in health and disease by a mutually efficient and communicative exchange of Ca2+ between compartments. A coordination of the Ca2+ signal is evident in the development of Ca2+ release-activated Ca2+ (CRAC) entry, vital to lymphocyte activation and replenishing of the ER Ca2+ stores, where modest decreases in ER luminal Ca2+ induce sustained increases in cytosolic Ca2+ sourced from steadfast extracellular Ca2+ supplies. While protein sensors that transduce Ca2+ signals in the cytosol such as calmodulin are succinctly understood, comparative data on the ER luminal Ca2+ sensors is only recently coming to light with the discovery that stromal interaction molecules (STIMs) sense variations in ER stored Ca2+ levels in the functional regulation of plasma membrane Orai proteins, the major component of CRAC channel pores. Drawing from data on the role of STIMs in the modulation of CRAC entry, this review illustrates the structural features that delimit the functional characteristics of ER Ca2+ sensors relative to well known cytoplasmic Ca2+ sensors.

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 score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.002

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 head0.093
GPT teacher head0.360
Teacher spread0.267 · 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

Citations24
Published2009
Admission routes1
Has abstractyes

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