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Record W2119250065 · doi:10.1096/fj.05-3706fje

Caspases from apoptotic myocytes degrade extracellular matrix: a novel remodeling paradigm

2005· article· en· W2119250065 on OpenAlexafffund
Kyle N. Cowan, Wesley Leung, Christopher Mar, Rakesh Bhattacharjee, Yong Zhu, Marlene Rabinovitch

Bibliographic record

VenueThe FASEB Journal · 2005
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtease and Inhibitor Mechanisms
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
FundersMedical Research Council CanadaHeart and Stroke Foundation of Canada
KeywordsElastinExtracellular matrixCell biologyApoptosisMatrix metalloproteinaseCaspaseChemistryMyocyteElastaseExtracellularProgrammed cell deathBiologyBiochemistryEnzyme

Abstract

fetched live from OpenAlex

Induction of smooth muscle cell apoptosis is critical to the reversal of severe structural remodeling in hypertensive pulmonary arteries during disease regression. This process involves coordinated resorption of pathologically deposited extracellular matrix, including elastin, and occurs in the presence of serine elastase and matrix metalloproteinase inhibitors. Here, we show that apoptotic smooth muscle cells exhibit extensive degradation of elastin coincident with cell surface immunolocalization and release of caspases. We further document that recombinant caspase-2, -3, and -7 are potently elastolytic. These enzymes are present in an active form on apoptotic cell surfaces and caspase inhibitors attenuate their elastolytic activity. Our results reveal a previously undescribed function for apoptotic cells and a novel paradigm whereby removal of cells is coordinated with degradation of excess extracellular matrix during remodeling in development and 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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.019
GPT teacher head0.246
Teacher spread0.228 · 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 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

Citations36
Published2005
Admission routes2
Has abstractyes

Explore more

Same venueThe FASEB JournalSame topicProtease and Inhibitor MechanismsFrench-language works237,207