MétaCan
Menu
Back to cohort

Target of selective cyclic nucleotide phosphodiesterases differentially regulates arterial myocyte migration (1065.3)

2014· article· en· W1887986264 on OpenAlexafffundabout
Paulina Brzezińska, Fabien Hubert, Sarah Rampersad, Alie Wudwud, Silja I. Freitag, M. Bibiana Umana, Donald H. Maurice

Bibliographic record

VenueThe FASEB Journal · 2014
Typearticle
Languageen
FieldChemistry
TopicSynthesis and Catalytic Reactions
Canadian institutionsQueen's University
FundersCanadian Institutes of Health Research
KeywordsCell biologyRegulatorPhosphodiesteraseCell migrationVascular smooth muscleMyocyteCardiac myocyteBiologyChemistryInternal medicineEndocrinologyIn vitroBiochemistryMedicineGeneEnzyme

Abstract

fetched live from OpenAlex

Vascular myocyte (VSMC) migration is a vital process allowing for the regulation of vascular development, tissue repair and the modulation of pathophysiological conditions including atherosclerosis. Atherosclerosis induced damage to the vascular endothelium results in medial VSMC migration into the intima to promote vessel repair. If unregulated, it may exacerbate atherosclerosis related stenosis. cAMP is a regulator of VSMC migration and cAMP‐elevating agents inhibit VSMC migration in vitro and reduce neointimal thickening in vivo. However, these agents promote the formation of integrin‐based adhesions and leading edge structures, which are necessary events for directional cellular migration. The localization of several distinct pools of cAMP generated by distinct cyclic nucleotide phosphodiesterases (PDEs) may explain the differential effects of VSMC migration regulated by cAMP. We used a modified migration assay to visualize and quantitate the formation of leading edge structures by VSMCs during migration. Here, we report differential migration related effects through the target of selective cAMP pools generated by distinct PDEs. Grant Funding Source : Canadian Institutes of Health Research

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.006
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.009
GPT teacher head0.213
Teacher spread0.204 · 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.

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

Citations0
Published2014
Admission routes3
Has abstractyes

Explore more

Same venueThe FASEB JournalSame topicSynthesis and Catalytic ReactionsFrench-language works237,207