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Gewählte Publikation:

Publikationstyp: Zeitschriftenaufsatz
Dokumenttyp: Übersichtsarbeit

Jahr: 2019

AutorInnen: Ahmed, F; Kumar, G; Soliman, FM; Adly, MA; Soliman, HAM; El-Matbouli, M; Saleh, M

Titel: Proteomics for understanding pathogenesis, immune modulation and host pathogen interactions in aquaculture.

Quelle: Comp Biochem Physiol Part D Genomics Proteomics. 2019; 32:100625



Autor/innen der Vetmeduni Vienna:

Ahmed Fatma El Zahraa
El-Matbouli Mansour
Kumar Gokhlesh
Saleh Mona

Beteiligte Vetmed-Organisationseinheiten
Universitätsklinik für Geflügel und Fische, Klinische Abteilung für Fischmedizin


Abstract:
Proteomic analyses techniques are considered strong tools for identifying and quantifying the protein contents in different organisms, organs and secretions. In fish biotechnology, the proteomic analyses have been used for wide range of applications such as identification of immune related proteins during infections and stresses. The proteomic approach has a significant role in understanding pathogen surviving strategies, host defence responses and subsequently, the fish pathogen interactions. Proteomic analyses were employed to highlight the virulence related proteins secreted by the pathogens to invade the fish host's defence barriers and to monitor the kinetics of protein contents of different fish organs in response to infections. The immune related proteins of fish and the virulence related proteins of pathogens are up or down regulated according to their functions in defence or pathogenesis. Therefore, the proteomic analyses are useful in understanding the virulence mechanisms of microorganisms and the fish pathogen interactions thereby supporting the development of new effective therapies. In this review, we focus and summarise the recent proteomic profiling studies exploring pathogen virulence activities and fish immune responses to stressors and infections.Copyright © 2019 Elsevier Inc. All rights reserved.

Keywords Pubmed: Animals
Aquaculture
Fishesimmunologymicrobiologyphysiology
Host-Pathogen Interactions
Immunity
Proteomics

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