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Record W2076024626 · doi:10.1096/fj.14-261586

Collagen matrix‐induced expression of integrin αVβ3 in circulating angiogenic cells can be targeted by matricellular protein CCN1 to enhance their function

2014· article· en· W2076024626 on OpenAlexafffund
Brian McNeill, Branka Vulesevic, Aleksandra Ostojic, Marc Ruel, Erik J. Suuronen

Bibliographic record

VenueThe FASEB Journal · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicConnective Tissue Growth Factor Research
Canadian institutionsUniversity of Ottawa
FundersCanadian Institutes of Health Research
KeywordsMatricellular proteinCYR61IntegrinAngiogenesisExtracellular matrixCTGFCell biologyChemistryMatrix (chemical analysis)Cancer researchImmunologyCellBiologyGrowth factorBiochemistryReceptor

Abstract

fetched live from OpenAlex

Circulating angiogenic cells (CACs) play an important role in vascular homeostasis and hold therapeutic promise for treating a variety of cardiovascular diseases. However, further improvements are needed because the effects of CAC therapy remain minimal or transient. The regenerative potential of these cells can be improved by culture on a collagen-based matrix through the up-regulation of key integrin proteins. We found that human CAC function was enhanced by using the matricellular protein CCN1 (CYR61/CTGF/NOV family member 1) to target integrin αV and β3, which are up-regulated on matrix. Compared to matrix-cultured CACs, CCN1-matrix CACs exhibited a 2.2-fold increase in cell proliferation, 1.8-fold greater migration toward VEGF, and 1.7-fold more incorporation into capillary-like structures in an angiogenesis assay. In vivo, intramuscular injection of CCN1-matrix-cultured CACs into ischemic hind limbs of CD-1 nude mice resulted in blood flow recovery to 80% of baseline, which was greater than matrix-cultured CACs (66%) and PBS (35%) treatment groups. Furthermore, transplanted CCN1-matrix CACs exhibited greater engraftment (11-fold) and stimulated the up-regulation of survival and angiogenic genes (>3-fold). These findings reveal the importance of cell-matrix interactions in regulating CAC function and also reveal a mechanism by which these may be exploited to enhance cell therapies for ischemic 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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.005
Threshold uncertainty score0.500

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.013
GPT teacher head0.268
Teacher spread0.255 · 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.

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

Citations12
Published2014
Admission routes2
Has abstractyes

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