Chapter title |
Protein microarrays for parasite antigen discovery.
|
---|---|
Chapter number | 13 |
Book title |
Parasite Genomics Protocols
|
Published in |
Methods in molecular biology, January 2015
|
DOI | 10.1007/978-1-4939-1438-8_13 |
Pubmed ID | |
Book ISBNs |
978-1-4939-1437-1, 978-1-4939-1438-8
|
Authors |
Patrick Driguez, Denise L Doolan, Douglas M Molina, Alex Loukas, Angela Trieu, Phil L Felgner, Donald P McManus, Denise L. Doolan, Douglas M. Molina, Phil L. Felgner, Donald P. McManus, Driguez, Patrick, Doolan, Denise L., Molina, Douglas M., Loukas, Alex, Trieu, Angela, Felgner, Phil L., McManus, Donald P. |
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. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Portugal | 1 | 6% |
Australia | 1 | 6% |
Unknown | 14 | 88% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 3 | 19% |
Student > Ph. D. Student | 3 | 19% |
Researcher | 2 | 13% |
Lecturer | 1 | 6% |
Unspecified | 1 | 6% |
Other | 2 | 13% |
Unknown | 4 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 6 | 38% |
Medicine and Dentistry | 2 | 13% |
Nursing and Health Professions | 1 | 6% |
Unspecified | 1 | 6% |
Biochemistry, Genetics and Molecular Biology | 1 | 6% |
Other | 1 | 6% |
Unknown | 4 | 25% |