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Proteomic strategies for the discovery of novel diagnostic and therapeutic targets for infectious diseases

Authors :
Kylene Kehn-Hall
Alan Baer
Aarthi Narayanan
Kelsey Voss
Moushimi Amaya
Emanuel F. Petricoin
Claudius Mueller
Catherine E. Campbell
Charles L. Bailey
Source :
Pathogens and Disease
Publication Year :
2014
Publisher :
Oxford University Press (OUP), 2014.

Abstract

Viruses have developed numerous and elegant strategies to manipulate the host cell machinery to establish a productive infectious cycle. The interaction of viral proteins with host proteins plays an important role in infection and pathogenesis, often bypassing traditional host defenses such as the interferon response and apoptosis. Host–viral protein interactions can be studied using a variety of proteomic approaches ranging from genetic and biochemical to large scale high throughput technologies. Protein interactions between host and viral proteins are greatly influenced by host signal transduction pathways. In this review, we will focus on comparing proteomic information obtained through differing technologies and how their integration can be used to determine the functional aspect of the host response to infection. We will briefly review and evaluate techniques employed to elucidate viral–host interactions with a primary focus on Protein Microarrays (PMA) and Mass Spectrometry (MS) as potential tools in the discovery of novel therapeutic targets. As many potential molecular markers and targets are proteins, proteomic profiling is expected to yield both clearer and more direct answers to functional and pharmacologic questions.<br />Reverse Phase protein MicroArray (RPMA) and Mass Spectrometry (MS) are quantitative proteomics strategies for understanding host–pathogen interactions in virus infected cells.<br />Graphical Abstract Figure.Reverse Phase protein MicroArray (RPMA) and Mass Spectrometry (MS) are quantitative proteomics strategies for understanding host–pathogen interactions in virus infected cells.

Details

ISSN :
2049632X
Volume :
71
Database :
OpenAIRE
Journal :
Pathogens and Disease
Accession number :
edsair.doi.dedup.....3f12f227a1b6430e33de941ce88f8018
Full Text :
https://doi.org/10.1111/2049-632x.12150