Large screen approaches to identify novel malaria vaccine candidates

Davies, D. Huw, Duffy, Patrick, Bodmer, Jean-Luc, Felgner, Philip L., and Doolan, Denise L. (2015) Large screen approaches to identify novel malaria vaccine candidates. Vaccine, 33 (52). pp. 7496-7505.

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Until recently, malaria vaccine development efforts have focused almost exclusively on a handful of well characterized Plasmodium falciparum antigens. Despite dedicated work by many researchers on different continents spanning more than half a century, a successful malaria vaccine remains elusive. Sequencing of the P. falciparum genome has revealed more than five thousand genes, providing the foundation for systematic approaches to discover candidate vaccine antigens. We are taking advantage of this wealth of information to discover new antigens that may be more effective vaccine targets. Herein, we describe different approaches to large-scale screening of the P. falciparum genome to identify targets of either antibody responses or T cell responses using human specimens collected in Controlled Human Malaria Infections (CHMI) or under conditions of natural exposure in the field. These genome, proteome and transcriptome based approaches offer enormous potential for the development of an efficacious malaria vaccine.

Item ID: 46648
Item Type: Article (Research - C1)
ISSN: 1873-2518
Keywords: antigen discovery; large-scale screen; immunomics; reverse vaccinology; protein microarrays; T cell antigens
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© 2015 Elsevier Ltd. This is an open access article under the CC BY license (

Funders: National Institute of Allergy and Infectious Disease (NIAID), National Institutes of Health (NIH), National Health and Medical Research Council (NHMRC)
Date Deposited: 15 Dec 2016 02:13
FoR Codes: 11 MEDICAL AND HEALTH SCIENCES > 1117 Public Health and Health Services > 111716 Preventive Medicine @ 50%
11 MEDICAL AND HEALTH SCIENCES > 1107 Immunology > 110704 Cellular Immunology @ 25%
11 MEDICAL AND HEALTH SCIENCES > 1107 Immunology > 110705 Humoural Immunology and Immunochemistry @ 25%
SEO Codes: 92 HEALTH > 9201 Clinical Health (Organs, Diseases and Abnormal Conditions) > 920109 Infectious Diseases @ 100%
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