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Record W2614444392 · doi:10.1161/res.113.suppl_1.a248

Abstract 248: Integrin-β1 Regulates Cardiac Stem Cell Self-renewal and Differentiation

2013· article· en· W2614444392 on OpenAlexaff
Victoria Florea, Christy Taylor, Paola Martinez, Courtney Lamondin, Joshua M. Hare, Cláudia O. Rodrigues

Bibliographic record

VenueCirculation Research · 2013
Typearticle
Languageen
FieldMedicine
TopicTissue Engineering and Regenerative Medicine
Canadian institutionsCanadian Asian Studies Association
Fundersnot available
KeywordsCell biologyStem cellExtracellular matrixIntegrinCellular differentiationOsteopontinBiologyFibronectinLamininImmunologyCellBiochemistry

Abstract

fetched live from OpenAlex

Background: Adult cardiac stem cells (CSCs) capable of self-renewal and differentiation into cardiac, smooth muscle and endothelial lineages have been shown to promote tissue repair after ischemic injury and improve heart function. Despite their potential role in cardiac regeneration, evidence suggests that resident CSCs are impaired in conditions such as myocardial infarction, limiting their regenerative capacity. Methods and Results: The growth rate of CSCs is significantly reduced by 40% (p<0.05) under hypoxic stress (0.5% O 2 ). Using an extracellular-matrix (ECM) and adhesion-focused PCR array, we found that incubation of CSCs for 18 hours under hypoxia leads to down-regulation of several genes, including osteopontin, thrombospondin-1 and integrins. Due to their critical role in communicating extracellular signals regulating stem cell mobilization, proliferation, survival, migration and differentiation we decided to investigate the role of integrins in CSCs self-renewal and differentiation. Our gene expression studies showed that integrin-β1 (Itgb1) is the most abundant integrin expressed in CSCs. Therefore, we knocked down (KD) Itgb1 in CSCs and evaluated these cells regarding adhesion, growth and differentiation properties. Our results showed that reduction in Itgb1 levels in CSCs significantly decreased their interaction with extracellular matrix components fibronectin, laminin and vitronectin by 32%, 20% and 24% (p<0.05), respectively. KD of Itgb1 in CSCs reduced growth by 40% (p<0.05), similar to what we observed by with wild-type cells in hypoxia. Assessment of endothelial differentiation showed that KD cells have a higher angiogenic potential vs. NS-control, as demonstrated by upregulation of vWF (3-fold), VEGF (2.5-fold), Pecam1 (2.3-fold) and Nos3 (1.9-fold) (p<0.05). Interestingly, Itgb1 KD per se induced upregulation of these vascular markers in CSCs. Conclusions: Our results suggest that Itgb1 plays an important role in CSCs self-renewal, differentiation and cell adhesion. It is possible that loss of self-renewal is a consequence of changes in CSCs fate as knockdown of Itgb1 leads to upregulation of endothelial lineage markers in these cells. This would limit the expansion of CSCs and their regenerative capacity.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

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)0.0030.001

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 head0.039
GPT teacher head0.309
Teacher spread0.270 · 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

Citations1
Published2013
Admission routes1
Has abstractyes

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