Surface antigens and potential virulence factors from parasites detected by comparative genomics of perfect amino acid repeats.
Surface antigens and potential virulence factors from parasites detected by comparative genomics of perfect amino acid repeats.
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通过完美氨基酸重复的比较基因组学检测到的寄生虫的表面抗原和潜在的毒力因子。
DOI：
10.1186/1477-5956-5-20
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发表时间：
2007-12-20
期刊：
影响因子：
2
通讯作者：
Mäser P
中科院分区：
文献类型：
--
作者：
Fankhauser N;Nguyen-Ha TM;Adler J;Mäser P
许多寄生生物，真核生物以及细菌，具有氨基酸重复序列的表面抗原。这些重复蛋白组成了宿主和病原体之间的界面，可能是参与免疫逃避或细胞粘附的毒力因子。它们在血清诊断学和疫苗开发中具有免疫学应用。在这里，我们使用包含完美重复序列的蛋白质作为寄生生物和自由生活生物之间比较基因组学的基础。我们开发了Reptile，一个用于蛋白质中完美重复序列的蛋白质组范围概率描述的程序。寄生虫蛋白质组表现出很大的差异，关于重复的蛋白质的比例。有趣的是，寄生虫蛋白质组中高度重复蛋白质的百分比和平均蛋白质长度之间存在良好的相关性，但在自由生活的真核生物蛋白质组中则完全不相关。爬行动物与跨膜结构域预测和GPI锚定程序相结合，成为计算机模拟识别寄生虫潜在表面抗原和毒力因子的有效工具。系统的调查完美的氨基酸重复允许自由生活和寄生生物，直接适用于预测蛋白质的血清学和寄生虫学的重要性之间的基本比较。在线工具可在。
Many parasitic organisms, eukaryotes as well as bacteria, possess surface antigens with amino acid repeats. Making up the interface between host and pathogen such repetitive proteins may be virulence factors involved in immune evasion or cytoadherence. They find immunological applications in serodiagnostics and vaccine development. Here we use proteins which contain perfect repeats as a basis for comparative genomics between parasitic and free-living organisms. We have developed Reptile , a program for proteome-wide probabilistic description of perfect repeats in proteins. Parasite proteomes exhibited a large variance regarding the proportion of repeat-containing proteins. Interestingly, there was a good correlation between the percentage of highly repetitive proteins and mean protein length in parasite proteomes, but not at all in the proteomes of free-living eukaryotes. Reptile combined with programs for the prediction of transmembrane domains and GPI-anchoring resulted in an effective tool for in silico identification of potential surface antigens and virulence factors from parasites. Systemic surveys for perfect amino acid repeats allowed basic comparisons between free-living and parasitic organisms that were directly applicable to predict proteins of serological and parasitological importance. An on-line tool is available at .
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影响因子：
168.9
作者：
BEADLE, C;LONG, GW;HOFFMAN, SL
通讯作者：
HOFFMAN, SL
影响因子：
56.9
作者：
ENEA, V;ELLIS, J;NUSSENZWEIG, RS
通讯作者：
NUSSENZWEIG, RS
影响因子：
3.3
作者：
de la Fuente, J;Garcia-Garcia, JC;Kocan, KM
通讯作者：
Kocan, KM
影响因子：
2.9
作者：
Murray, KB;Taylor, WR;Thornton, JM
通讯作者：
Thornton, JM
影响因子：
1.5
作者：
PETERSEN, C;NELSON, R;SCHERF, A
通讯作者：
SCHERF, A