Protein microarrays for parasite antigen discovery

Driguez, Patrick, Doolan, Denise L., Molina, Douglas M., Loukas, Alex, Trieu, Angela, Felgner, Phil L., and McManus, Donald P. (2015) Protein microarrays for parasite antigen discovery. In: Peacock, Christopher, (ed.) Parasite Genomics Protocols. Methods in Molecular Biology (1201). Springer, New York, NY, USA, pp. 221-233.

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Abstract

The host serological profile to a parasitic infection, such as schistosomiasis, can be used to define potential vaccine and diagnostic targets. Determining the host antibody response using traditional approaches is hindered by the large number of putative antigens in any parasite proteome. Parasite protein microarrays offer the potential for a high-throughput host antibody screen to simplify this task. In order to construct the array, parasite proteins are selected from available genomic sequence and protein databases using bioinformatic tools. Selected open reading frames are PCR amplified, incorporated into a vector for cell-free protein expression, and printed robotically onto glass slides. The protein microarrays can be probed with antisera from infected/immune animals or humans and the antibody reactivity measured with fluorophore labeled antibodies on a confocal laser microarray scanner to identify potential targets for diagnosis or therapeutic or prophylactic intervention.

Item ID: 36668
Item Type: Book Chapter (Research - B1)
ISBN: 978-1-4939-1438-8
ISSN: 1064-3745
Keywords: schistosomiasis, protein microarray, parasite, antibody/serum screening, vaccine and diagnostic discovery
Funders: National Institute of Allergy and Infectious Diseases (NIAID), National Health and Medical Research Council (NHMRC)
Projects and Grants: NIAID grant U54AI065359, NIAID grant U01AI078213
Date Deposited: 17 Nov 2015 03:15
FoR Codes: 11 MEDICAL AND HEALTH SCIENCES > 1108 Medical Microbiology > 110803 Medical Parasitology @ 100%
SEO Codes: 92 HEALTH > 9201 Clinical Health (Organs, Diseases and Abnormal Conditions) > 920109 Infectious Diseases @ 100%
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