Needles in the EST haystack: Large-scale identification and analysis of excretory-secretory (ES) proteins in parasitic nematodes using expressed sequence tags (ESTs)

SH Nagaraj; RB Gasser; S Ranganathan

Journal article

Needles in the EST haystack: Large-scale identification and analysis of excretory-secretory (ES) proteins in parasitic nematodes using expressed sequence tags (ESTs)

SH Nagaraj, RB Gasser, S Ranganathan

Plos Neglected Tropical Diseases | PUBLIC LIBRARY SCIENCE | Published : 2008

DOI: 10.1371/journal.pntd.0000301

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Abstract

Background: Parasitic nematodes of humans, other animals and plants continue to impose a significant public health and economic burden worldwide, due to the diseases they cause. Promising antiparasitic drug and vaccine candidates have been discovered from excreted or secreted (ES) proteins released from the parasite and exposed to the immune system of the host. Mining the entire expressed sequence tag (EST) data available from parasitic nematodes represents an approach to discover such ES targets. Methods and Findings: In this study, we predicted, using EST2Secretome, a novel, high-throughput, computational workflow system, 4,710 ES proteins from 452,134 ESTs derived from 39 different specie..

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University of Melbourne Researchers

Robin B. Gasser Author

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Grants

Awarded by Australian Research Council (ARC)

Awarded by Australian Research Council

Funding Acknowledgements

This work was supported by grants from the Australian Research Council (ARC) (LP0667795 and DP0665230), Genetic Technologies Limited (GTG) and Meat and Livestock Australia (MLA). SHN is the grateful recipient of iMURS research scholarships and an MUPGR travel grant Macquarie University. Funding to pay the open-access publication charges for this article was provided by Macquarie University. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.