Exploiting helminth-host interactomes through Big Data

Sotillo, Javier, Toledo, Rafael, Mulvenna, Jason, and Loukas, Alex (2017) Exploiting helminth-host interactomes through Big Data. Trends in Parasitology, 33 (11). pp. 875-888.

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DOI: 10.1016/j.pt.2017.06.011

View at Publisher Website: http://doi.org/10.1016/j.pt.2017.06.011

Abstract

Helminths facilitate their parasitic existence through the production and secretion of different molecules, including proteins. Some helminth proteins can manipulate the host's immune system, a phenomenon that is now being exploited with a view to developing therapeutics for inflammatory diseases. In recent years, hundreds of helminth genomes have been sequenced, but as a community we are still taking baby steps when it comes to identifying proteins that govern host-helminth interactions. The information generated from genomic, immunomic, and proteomic studies, as well as from cutting-edge approaches such as proteogenomics, is leading to a substantial volume of big data that can be utilised to shed light on fundamental biology and provide solutions for the development of bioactive-molecule-based therapeutics.


Item ID:	51682
Item Type:	Article (Research - C1)
ISSN:	1471-5007
Funders:	National Health and Medical Research Council of Australia (NHMRC), Generalitat Valenciana (GV), Ministerio de Economía y Competitividad (MEC)
Projects and Grants:	NHMRC Program Grant 1037304, GV PROMETEO2014-083 Fase II), MEC BFU2016-75639-P, MEC RD12/0018/0013
Date Deposited:	29 Nov 2017 07:40
FoR Codes:	32 BIOMEDICAL AND CLINICAL SCIENCES > 3207 Medical microbiology > 320704 Medical parasitology @ 100%
SEO Codes:	92 HEALTH > 9201 Clinical Health (Organs, Diseases and Abnormal Conditions) > 920105 Digestive System Disorders @ 100%
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