Schistosomiasis vaccine discovery using immunomics.
Schistosomiasis vaccine discovery using immunomics.
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DOI：
10.1186/1756-3305-3-4
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发表时间：
2010-01-28
影响因子：
3.2
通讯作者：
McManus DP
中科院分区：
文献类型：
--
作者：
Driguez P;Doolan DL;Loukas A;Felgner PL;McManus DP
日本血吸虫和日本血吸虫的最新报道。mansoni基因组极大地扩展了后基因组血吸虫病疫苗研究的机会。免疫组学蛋白质微阵列提供了一个很好的应用，这种新的染色体序列信息，已被成功地用于疫苗抗原的发现与一系列的细菌和病毒病原体，疟疾。因此，我们设计并制造了血吸虫免疫组学蛋白微阵列作为疫苗发现工具。微阵列蛋白质选择结合了先前发表的数据和基于蛋白质位置、与已知保护性抗原的同源性和对嗜热物种的高特异性的潜在免疫原的可用序列的计算机筛选。克隆后，选择的序列表达无细胞和接触打印到硝酸纤维素微阵列。微阵列蛋白与来自疟原虫暴露/抗性动物或人类患者的抗血清的反应性可以用标记的二抗和激光微阵列扫描仪测量;高反应性蛋白可以进一步评估为推定的疫苗。这项高度创新的技术有可能改变血吸虫病和其他人类和动物寄生虫病的疫苗研究。
The recent publication of the Schistosoma japonicum and S. mansoni genomes has expanded greatly the opportunities for post-genomic schistosomiasis vaccine research. Immunomics protein microarrays provide an excellent application of this new schistosome sequence information, having been utilised successfully for vaccine antigen discovery with a range of bacterial and viral pathogens, and malaria. Accordingly, we have designed and manufactured a Schistosoma immunomics protein microarray as a vaccine discovery tool. The microarray protein selection combined previously published data and in silico screening of available sequences for potential immunogens based on protein location, homology to known protective antigens, and high specificity to schistosome species. Following cloning, selected sequences were expressed cell-free and contact-printed onto nitrocellulose microarrays. The reactivity of microarray proteins with antisera from schistosomiasis-exposed/resistant animals or human patients can be measured with labelled secondary antibodies and a laser microarray scanner; highly reactive proteins can be further assessed as putative vaccines. This highly innovative technology has the potential to transform vaccine research for schistosomiasis and other parasitic diseases of humans and animals.
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影响因子：
6.4
作者：
Mutapi, Francisca;Burchmore, Richard;Maizels, Rick M.
通讯作者：
Maizels, Rick M.
DOI：
10.1073/pnas.0408782102
发表时间：
2005-01-18
影响因子：
11.1
作者：
Davies, DH;Liang, XW;Felgner, PL
通讯作者：
Felgner, PL
影响因子：
2.7
作者：
Bergquist, R;Al-Sherbiny, M;Olds, R
通讯作者：
Olds, R
影响因子：
3.4
作者：
Doolan, Denise L.;Mu, Yunxiang;Unal, Berkay;Sundaresh, Suman;Hirst, Siddiqua;Valdez, Conrad;Randall, Arlo;Molina, Douglas;Liang, Xiaowu;Freilich, Daniel A.;Oloo, J. Aggrey;Blair, Peter L.;Aguiar, Joao C.;Baldi, Pierre;Davies, D. Huw;Felgner, Philip L.
通讯作者：
Felgner, Philip L.
DOI：
10.1073/pnas.0812080106
发表时间：
2009-08-11
影响因子：
11.1
作者：
Felgner, Philip L.;Kayala, Matthew A.;Titball, Richard W.
通讯作者：
Titball, Richard W.