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Record W2142080372 · doi:10.1161/01.res.87.10.856

Apoptosis During Cardiovascular Development

2000· review· en· W2142080372 on OpenAlexaff
Steven A. Fisher, B. Lowell Langille, Deepak Srivastava

Bibliographic record

VenueCirculation Research · 2000
Typereview
Languageen
FieldMedicine
TopicNitric Oxide and Endothelin Effects
Canadian institutionsToronto General HospitalUniversity of Toronto
Fundersnot available
KeywordsApoptosisProgrammed cell deathExtracellular matrixMorphogenesisCell biologyBiologyRegulatorHeart developmentCell growthEmbryonic stem cellGenetics

Abstract

fetched live from OpenAlex

Morphogenesis and developmental remodeling of cardiovascular tissues involve coordinated regulation of cell proliferation and apoptosis. In the heart, clear evidence points toward focal apoptosis as a contributor to development of the embryonic outflow tract, cardiac valves, conducting system, and the developing coronary vasculature. Apoptosis in the heart is likely regulated by survival and death signals that are also present in many other tissues. Cell type-specific regulation may be superimposed on general cell death/survival machinery through tissue-specific transcriptional pathways. In the vasculature, apoptosis almost certainly contributes to developmental vessel regression, and it is of proven importance in remodeling of arterial structure in response to local changes in hemodynamics. Physical forces, growth factors, and extracellular matrix drive vascular cell survival pathways, and considerable evidence points to local nitric oxide production as an important but complex regulator of vascular cell death. In both the heart and vasculature, progress has been impeded by inadequate information concerning the incidence of apoptosis, its relative importance compared with the diverse cell behaviors that remodel developing tissues, and by our primitive knowledge concerning regulation of cell death in these tissues. However, tools are now available to better understand apoptosis in normal and abnormal development of cardiovascular structures, and a framework has been established that should lead to considerable progress in the coming years.

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)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.216
GPT teacher head0.435
Teacher spread0.219 · 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

Citations157
Published2000
Admission routes1
Has abstractyes

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