Literature DB >> 27492119

Identification and expression analysis of IκB and NF-κB genes from Cyclina sinensis.

Shan Gao1, Yipeng Ren2, Haijing Zhang1, Baoping Pan3, Hong Gao1.   

Abstract

With the increasing economic importance of Cyclina sinensis aquaculture, interest in its defense mechanisms against pathogenic infection has grown in recent years. Inhibitor of nuclear factor-kappaB (IκB) and nuclear factor-kappaB (NF-κB) are proteins with central roles in many important physiological and pathological processes, such as innate immune responses. In this study, we identified CsIκB and CsNF-κB genes from a C. sinensis transcriptome library. In healthy adult clams, CsIκB and CsNF-κB genes were widely expressed in various tissues and highly expressed in hemocytes. Further, the expression levels of these genes were significantly increased in hemocytes challenged by Vibrio anguillarum, Micrococcus luteus and poly I:C. Inhibition of CsMyD88 expression by RNAi technology significantly altered the mRNA expression patterns of CsIκB and CsNF-κB as measured using quantitative real-time PCR. These results collectively indicated that the NF-κB signaling pathway, including CsIκB and CsNF-κB genes, might be involved in early innate immune responses and may be regulated by a MyD88-dependent signaling pathway in C. sinensis.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Cyclina sinensis; Inhibitor of nuclear factor-kappaB; Innate immune response; MyD88-dependent signal pathway; Nuclear factor-kappaB

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Year:  2016        PMID: 27492119     DOI: 10.1016/j.fsi.2016.07.035

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


  1 in total

1.  Identification and Molecular Docking Study of a Novel Angiotensin-I Converting Enzyme Inhibitory Peptide Derived from Enzymatic Hydrolysates of Cyclina sinensis.

Authors:  Fangmiao Yu; Zhuangwei Zhang; Liwang Luo; Junxiang Zhu; Fangfang Huang; Zuisu Yang; Yunping Tang; Guofang Ding
Journal:  Mar Drugs       Date:  2018-10-27       Impact factor: 5.118

  1 in total

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