A Two-Way Proteome Microarray Strategy to Identify Novel Mycobacterium tuberculosis -Human Interactors

Tuberculosis (TB) is still a serious threat to human health which is caused by mycobacterium tuberculosis ( ). The main reason for failure to eliminate TB is lack of clearly understanding the molecular mechanism of pathogenesis. Determining human -interacting proteins enables us to characterize the...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Frontiers in cellular and infection microbiology 2019-03, Vol.9, p.65-65
Hauptverfasser: Cao, Tingming, Lyu, Lingna, Jia, Hongyan, Wang, Jinghui, Du, Fengjiao, Pan, Liping, Li, Zihui, Xing, Aiying, Xiao, Jing, Ma, Yu, Zhang, Zongde
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Tuberculosis (TB) is still a serious threat to human health which is caused by mycobacterium tuberculosis ( ). The main reason for failure to eliminate TB is lack of clearly understanding the molecular mechanism of pathogenesis. Determining human -interacting proteins enables us to characterize the mechanism and identify potential molecular targets for TB diagnosis and treatment. However, experimentally systematic interactors are not readily available. In this study, we performed an unbiased, comprehensive two-way proteome microarray based approach to systematically screen global human interactors and determine the binding partners of effectors. Our results, for the first time, screened 84 potential human interactors. Bioinformatic analysis further highlighted these protein candidates might engage in a wide range of cellular functions such as activation of DNA endogenous promoters, transcription of DNA/RNA and necrosis, as well as immune-related signaling pathways. Then, using proteome microarray followed His tagged pull-down assay and Co-IP, we identified one interacting partner (Rv0577) for the protein candidate NRF1 and three binding partners (Rv0577, Rv2117, Rv2423) for SMAD2, respectively. This study gives new insights into the profile of global interactors potentially involved in pathogenesis and demonstrates a powerful strategy in the discovery of effectors.
ISSN:2235-2988
2235-2988
DOI:10.3389/fcimb.2019.00065