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Record W2992227344 · doi:10.1182/blood.v110.11.180.180

Genomic, Proteomic and Functional Screens Identify PAI-1 as an Important Factor Influencing Mesenchymal Stromal Cell Survival Post-Transplantation In Vivo.

2007· article· en· W2992227344 on OpenAlexaff
Ian B. Copland, Jessica Cuerquis, Eugenia Wang, Jacques Galipeau

Bibliographic record

VenueBlood · 2007
Typearticle
Languageen
FieldMedicine
TopicMesenchymal stem cell research
Canadian institutionsMcGill UniversityJewish General Hospital
Fundersnot available
KeywordsMesenchymal stem cellTransplantationBiologyIn vivoOxygen tensionImmunologyImmunophenotypingStromal cellCancer researchCell biologyFlow cytometryMedicineChemistryInternal medicine

Abstract

fetched live from OpenAlex

Abstract MSCs have robust reparative properties through their ability to limit apoptosis, enhance angiogenesis and direct positive tissue remodelling. However, a major limitation on the widespread application of MSC transplantation is that transplanted cells have low survival rates in vivo. Thus, enhancing MSCs survival post-transplantation is critical for the successful implementation of cellular therapy. One explanation for their low survival is that MSCs are often transplanted into ischemic tissue - such as infarcted myocardium - where there is poor blood supply and low oxygen tension. How these factors influence MSC survival is still unclear, therefore the objective of this project was to better understand how hypoxia under low nutrient conditions affects the behaviour and survival of MSCs. To answer this question, we performed the following series of experiments: Isolate and immunophenotype murine MSCs. Assess impact of in vitro ischemic conditions (hypoxia and serum deprivation) on MSCs by microarray analysis and ITRAQ proteomics for secreted proteins. Confirm changes of specific factors in vitro. Isolate and immunophenotype MSCs from knock-out mice for specific factors. Determine whether knock-out MSCs have altered survival in vitro and in vivo. As confirmed by PCR and Western blotting, microarray and proteomic screens, identified plasminogen activator inhibitor-1 (PAI-1) as one factor consistently upregulated in hypoxia (3% oxygen) treated MSCs. In vitro migration studies demonstrated that PAI-1 blocks migration of MSCs towards a chemotactic gradient, while isolation of PAI-1 knock-out MSCs, revealed an enhanced survival of PAI-1null MSCs over wild-type MSCs. In vivo subcutaneous transplantation of beta-galactosidase engineered wild-type and PAI-1null MSCs, recapitulated our in vitro results, such that 14 days post-implantation PAI-1null MSCs had a five fold increase in survival compared to wild-type MSCs. In conclusion, PAI-1 is a multifunctional protein. As an inhibitor, PAI-1 acts as ‘bait’ regulating the conversion of plasminogen to plasmin thus functioning as a major control point in the regulation of systemic fibrinolysis and local growth factor availability. In addition, PAI-1 can also act as a ligand for vitronectin to influence cellular migration/adhesion. Up-regulation of PAI-1 by MSCs after transplantation impacts MSC survival. Determining how to block PAI-1 following transplantation of MSCs is currently under investigation.

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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0020.001

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 head0.024
GPT teacher head0.293
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
Published2007
Admission routes1
Has abstractyes

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