Proteolytic cascades of human tissue kallikreins
Notice bibliographique
Résumé
4368 Proteases are a family of enzymes responsible for hydrolysis of peptide bonds and protein disassembly. Understanding impaired activation pathways of proteases, particularly through proteolytic cascades, has been the center of extensive cancer research in the past few years. It is now evident that perturbed protease activity directly contributes to tumorogenesis and metastasis via aberrant extracellular matrix (ECM) remodeling, as well as, targeting non-ECM proteins of tumor microenvironment. The human tissue kallikrein (hK) family is a subgroup of secreted serine proteases, comprised of fifteen members. There is accumulating evidence that expression and proteolytic activity of various members of the hK family are dysregulated in a wide range of tumors, including ovarian, breast, and prostate cancers. Recent findings suggest that, analogous to other proteases, hKs exert their physiologic and pathologic functions through highly regulated proteolytic cascades. For instance, hK5 was shown to be autoactivated and sequentially activating hK7 in stratum corneum (SC) layer of skin. Similarly, hK2 was reported to activate hK3 in seminal plasma. Moreover, various hKs are known to be co-expressed and are coordinately up- or down- regulated in various cancer cell lines and/or tissues. Furthermore, inactive pro-hKs are activated by cleavage at their trypsin-like cleavage motifs, suggesting activation of chymotrypsin-like by trypsin-like hKs. To elucidate proteolytic cascades involved in activation of hKs, synthetic heptapeptides representing the activation sites of the fifteen hKs were designed. The ability of the active recombinant hKs to cleave the heptapeptides was examined by reversed phase HPLC. Cleavage efficiency was quantified as a time-dependent percent reduction of the peak representing uncleaved heptapeptide. Synthetic peptides representing the two cleaved fragments of each heptapeptide were used as controls to eliminate peak reduction due to non-specific degradation. We confirmed previously reported hK3 and hK7 cleavage by hK2 and hK5, respectively. In addition, we demonstrated possible activation of hKs 1-3, 5,7,8,9, and 11 by both hK5 and hK2. hK5 cleaves additional heptapeptides representing hKs 8 and 15. Activation of pro-hK3 was further confirmed using the hK3-specific flourogenic substrate, AAPF-AMC. Interestingly, we observed that excess pro- hK2 and hK3 are internally cleaved and deactivated in a dose-dependent manner by active hK5. Analogous to many other proteases, hK5 seems to be bidirectionally involved in the regulation of certain hK proteolytic cascades. experiments to elucidate the dynamic process of hK proteolytic cascades and their complex tumor-associated dysregulation are ongoing. Therapeutic manipulation of hK regulatory pathways can supplement the current clinical treatments of certain carcinomas.
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 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».