Title |
Evaluation of Approaches to Identify the Targets of Cellular Immunity on a Proteome-Wide Scale
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Published in |
PLOS ONE, November 2011
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DOI | 10.1371/journal.pone.0027666 |
Pubmed ID | |
Authors |
Fernanda C. Cardoso, Joanne S. Roddick, Penny Groves, Denise L. Doolan |
Abstract |
Vaccine development against malaria and other complex diseases remains a challenge for the scientific community. The recent elucidation of the genome, proteome and transcriptome of many of these complex pathogens provides the basis for rational vaccine design by identifying, on a proteome-wide scale, novel target antigens that are recognized by T cells and antibodies from exposed individuals. However, there is currently no algorithm to effectively identify important target antigens from genome sequence data; this is especially challenging for T cell targets. Furthermore, for some of these pathogens, such as Plasmodium, protein expression using conventional platforms has been problematic but cell-free in vitro transcription translation (IVTT) strategies have recently proved successful. Herein, we report a novel approach for proteome-wide scale identification of the antigenic targets of T cell responses using IVTT products. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United Kingdom | 1 | 3% |
Vietnam | 1 | 3% |
Brazil | 1 | 3% |
Unknown | 32 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 9 | 26% |
Researcher | 8 | 23% |
Student > Master | 4 | 11% |
Student > Postgraduate | 2 | 6% |
Lecturer > Senior Lecturer | 2 | 6% |
Other | 6 | 17% |
Unknown | 4 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 12 | 34% |
Medicine and Dentistry | 9 | 26% |
Immunology and Microbiology | 4 | 11% |
Biochemistry, Genetics and Molecular Biology | 2 | 6% |
Mathematics | 1 | 3% |
Other | 3 | 9% |
Unknown | 4 | 11% |