MétaCan
Menu
Back to cohort

Cell proliferating effect of latent transforming growth factor‐β1 is cell membrane dependent

2002· article· en· W2107373869 on OpenAlexaff
Aziz Ghahary, Edward E. Tredget, A. Ghahary, Mohammad Ali Bahar, Christopher Telasky

Bibliographic record

VenueWound Repair and Regeneration · 2002
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicTGF-β signaling in diseases
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsTransforming growth factorCellTransfectionMinkBiologyCell cultureCell biologyCell growthMolecular biologyBiochemistry

Abstract

fetched live from OpenAlex

The mechanism of in vivo activation of transforming growth factor-beta1 (TGF-beta1), which is critical to its role in many physiological and pathological conditions, is not fully understood. To explore the mechanism by which dermal fibroblasts respond to latent TGF-beta1 directly, the efficacy of either latent TGF-beta1 (LTGF-beta1) alone or LTGF-beta1 plus cell membranes isolated from fibroblasts, mink lung, and one skin-related (Sk23) and two skin-unrelated (U251 and D54MG) transformed cell lines was examined using the mink lung epithelial cell (Mv1Lu) inhibition assay. As a source of LTGF-beta1, PA317 cells were transfected with previously constructed pLin-TGF-beta1 or pLin vectors with no TGF-beta1 insert. LTGF-beta1 expressing PA317 cells were then enriched by growth in the presence of 0.5 mg G-418 for 6-10 days. Eight out of 53 colonies of cells expressing high levels of LTGF-beta1 were selected and their conditioned media were removed after 3 days and used to evaluate the latency and bioactivity of TGF-beta1 using ELISA and Mv1Lu growth inhibition assay, respectively. The level of TGF-beta1 was 19-fold greater (21.4 +/- 0.4 vs. 1.1 +/- 0.2 ng/ml) in conditioned medium derived from pLin-TGF-beta1 transfected cells than that of control. These conditioned media were then used for the subsequent cell proliferating experiments. The results showed that latent TGF-beta1, which proved to be inactive in an Mv1Lu inhibition assay, significantly stimulates fibroblast cell proliferation compared to that of control in a dose-dependent fashion. In another set of experiments, cells were treated with either active (acidified/neutralized) or latent TGF-beta1 and the results showed a significant increase in cell proliferation in response to low concentrations of active TGF-beta1. However, high concentrations of active TGF-beta1 markedly suppressed fibroblast proliferation. These dual effects were in contrast to a steady increase in fibroblast proliferation found in response to latent TGF-beta1. To explore why LTGF-beta1 has a differential proliferating effect on epithelial and fibroblast cell proliferation, cell membranes from these cells were isolated and incubated with PA317-conditioned medium containing LTGF-beta1 and then added to mink lung cells. Only isolated fibroblast cell membranes incubated with LTGF-beta1 inhibited Mv1Lu cells. To examine whether the LTGF-beta1 cell proliferating activity is unique to dermal fibroblasts or is a general phenomenon, in similar experimental conditions cell membranes from several cell lines, U251, D54MG, and SK23, were isolated, incubated with LTGF-beta1, and then added to an Mv1Lu inhibition assay. The proliferation of Mv1Lu epithelial cells was significantly (1547 +/- 269 vs. 3568 +/- 23) inhibited with SK23, but not U251 cell membranes plus LTGF-beta1 relative to that of control. The inhibitory effect of SK23 plus LTGF-beta1 was cell membrane dose-dependent. In conclusion, the result of this study shows that LTGF-beta1 may directly modulate cell proliferation of those cells that possess a cell membrane associated LTGF-beta1 activation mechanism.

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 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 score0.004
Threshold uncertainty score0.514

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)0.0000.000

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 head0.008
GPT teacher head0.210
Teacher spread0.202 · 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

Citations14
Published2002
Admission routes1
Has abstractyes

Explore more

Same venueWound Repair and RegenerationSame topicTGF-β signaling in diseasesFrench-language works237,207