Aller au contenu principal
2017 conference-abstract

Abstract 218: Functional proteomic analysis of TβRI immunocomplex in TGF-β signaling

0Citations signalées, ce qui n’est pas une note de qualité
1Institutions déclarées
1Pays d’affiliation déclarés

Rattachement africain : us. Niveau de preuve : code pays fourni par la source.

Le résumé fourni par la source

Abstract Transforming growth factor-beta (TGF-β) regulates a wide array of biological responses ranging from proliferation to apoptosis, and alterations in its signaling pathway are associated with a variety of human diseases, including cancer. During the activation of TGF-β signaling, TGF-β receptor I (TβRI) plays an important role in transducing signals to downstream effectors. To identify TβRI interacting proteins which are responsible for Smad-dependent pathways as well as Smad-independent pathways, we employed a large-scale quantitative proteomic analysis of TβRI immunocomplex. AML12 cells were labeled with L-Lysine and L-Arginine (K0R0, light) or L-Lysine-13C6-15N2 and L-Arginine-U-13C6-15N4 (K8R10, heavy). The cells cultured in K8R10 medium (H: Heavy) were transfected with Flag-TβRI, while the cells cultured in K0R0 medium (L: Light) were transfected with Flag vector. The cell lysates were combined at equal protein amount, and TβRI immunocomplex were purified using FLAG M2 agarose. The resulting peptides from eluted TβRI immunocomplex were subjected to mass spectrometry quantitation. If a protein whose ratio of H/L was not smaller than 1.3, it was categorized as a constitutively interacting protein of TβRI. A total of 687 proteins were quantitated and 325 proteins were defined as constitutively interacting proteins. Pathway enrichment analysis found these proteins are involved in a number of signaling pathways, which indicates the cross-talks between TGF-β signaling and other signaling. Future work will include validation of interaction between TβRI and candidate proteins, and understand functional significance of candidate proteins in TGF-β signaling or signaling cross-talks by a series of molecular biological approaches. Citation Format: Liuya Tang, Zhaojing Meng, Mary Heller, Ming Zhou, Ying Zhang. Functional proteomic analysis of TβRI immunocomplex in TGF-β signaling [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 218. doi:10.1158/1538-7445.AM2017-218

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.

Le contrôle bibliographique ouvert

DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.

Titre Crossref
Abstract 218: Functional proteomic analysis of TβRI immunocomplex in TGF-β signaling
Date Crossref
01/07/2017
Éditeur
American Association for Cancer Research (AACR)
Type
journal-article

Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.

Les institutions déclarées

Une affiliation ne permet pas de déduire la nationalité d’un auteur.

Les sujets associés

TGF-β signaling in diseasesCancer, Hypoxia, and Metabolism

BNTIC News n’est pas le producteur de ces données. Les publications sont interrogées à la demande dans Crossref, OpenAIRE, DOAJ, Europe PMC, HAL, DataCite, AfricArXiv, ROR et la Banque mondiale, sans clé d’accès. OpenAlex reste optionnel. Aucun service payant n’est nécessaire et aucune donnée externe n’est enregistrée en base. Consulter les sources et leurs limites.