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Record W2025049393 · doi:10.1139/y09-032

Endoplasmic reticulum proteins in cardiac development and dysfunction

2009· review· en· W2025049393 on OpenAlexafffundvenue
Daniel Prins, Marek Michalak

Bibliographic record

VenueCanadian Journal of Physiology and Pharmacology · 2009
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEndoplasmic Reticulum Stress and Disease
Canadian institutionsUniversity of Alberta
FundersFondation pour la Recherche MédicaleHeart and Stroke Foundation of Canada
KeywordsEndoplasmic reticulumCell biologyOrganelleBiologySTIM1Secretory pathwayFunction (biology)Golgi apparatus

Abstract

fetched live from OpenAlex

An understanding of cardiac pathologies and the molecular mechanisms thereof is essential for the development of therapies for cardiovascular disease, a common cause of death in Western societies. Investigations into heart diseases have shown that the endoplasmic reticulum and its diverse functions may lie at the center of many cardiac pathologies. Animal models have demonstrated that in numerous cases, faulty endoplasmic reticulum activity is manifested in defective cardiogenesis or impaired heart function. These findings suggest that the endoplasmic and sarcoplasmic reticulum membranes may represent functionally independent organelles responsible for specialized functions in the heart. This review addresses the molecular pathways linking endoplasmic reticulum function and malfunction with impaired cardiac phenotypes. The endoplasmic reticulum affects cardiac development and function through Ca2+-dependent pathways, its catalytic role in the proper folding and targeting of membrane-bound and secretory proteins, and its response to cellular stress events, particularly hypoxic conditions. These pathways present potential novel targets for treatment of cardiac disease.

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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.004

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 head0.013
GPT teacher head0.273
Teacher spread0.260 · 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

Citations25
Published2009
Admission routes3
Has abstractyes

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Same venueCanadian Journal of Physiology and PharmacologySame topicEndoplasmic Reticulum Stress and DiseaseFrench-language works237,207