Literature DB >> 31002927

Black carp TAB1 up-regulates TAK1/IRF7/IFN signaling during the antiviral innate immune activation.

Ziqi Zou1, Xinchi Xie1, Wanzhen Li1, Xuejiao Song1, Yaqi Tan1, Hui Wu1, Jun Xiao1, Hao Feng2.   

Abstract

TAK1-binding protein 1 (TAB1) forms the protein complex with TAK1 and enhances its kinase activity in human and mammals. To elucidate the role of TAB1 in the innate immunity of teleost sfih, the TAB1 homologue of black carp (Mylopharyngodon piceus) (bcTAB1) has been cloned and characterized in this paper. bcTAB1 is composed of 498 amino acids and contains a typical PP2Cc domain like its mammalian counterpart. The transcription of bcTAB1 gene in vivo and ex vivo varied in response to different stimuli; and the immunofluorescence staining showed that bcTAB1 was distributed in both cytoplasm and nucleus of host cell. The reporter assay showed that neither bcTAB1-expression alone nor co-expression of bcTAB1 and bcTAK1 could activate the transcription of IFN in EPC cells. Accordingly, EPC cells expressing bcTAB1 or co-expressing bcTAB1 and bcTAK1 showed no improved antiviral activity against grass carp reovirus (GCRV) and spring viremia of carp virus (SVCV). However, EPC cells co-expressing bcTAB1, bcTAK1 and bcIRF7 showed fiercely increased IFN-inducing ability in reporter assay and obviously improved antiviral activity in plaque assay compared with EPC cells co-expressing bcTAK1 and bcIRF7. The subsequent co-immunoprecipitation assay identified that bcTAB1 associated with bcTAK1 but not interacted with bcIRF7. Based on our previous finding that bcTAK1 up-regulates bcIRF7-mediated IFN signaling during host innate immune activation, the data generated in this study support the conclusion that bcTAB1 interacts with bcTAK1 and boosts bcTAK1-activated bcIRF7/IFN signaling during host antiviral innate immune response against GCRV and SVCV.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Black carp; IRF7; Interferon; TAB1; TAK1

Mesh:

Substances:

Year:  2019        PMID: 31002927     DOI: 10.1016/j.fsi.2019.04.040

Source DB:  PubMed          Journal:  Fish Shellfish Immunol        ISSN: 1050-4648            Impact factor:   4.581


  1 in total

Review 1.  Artificial Intelligence Technologies for COVID-19 De Novo Drug Design.

Authors:  Giuseppe Floresta; Chiara Zagni; Davide Gentile; Vincenzo Patamia; Antonio Rescifina
Journal:  Int J Mol Sci       Date:  2022-03-17       Impact factor: 5.923

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.