Cell proliferating effect of latent transforming growth factor‐β1 is cell membrane dependent
Notice bibliographique
Résumé
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.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».