Genome-wide analysis of regulatory proteases sequences identified through bioinformatics data mining in Taenia solium

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• 作者：Hong-Bin Yan (18) (19)
  Zhong-Zi Lou (18)
  Li Li (18)
  Paul J Brindley (19)
  Yadong Zheng (18)
  Xuenong Luo (18)
  Junling Hou (18)
  Aijiang Guo (18)
  Wan-Zhong Jia (18)
  Xuepeng Cai (18)
  
  18. State Key Laboratory of Veterinary Etiological Biology ; Key Laboratory of Veterinary Parasitology of Gansu Province ; Key Laboratory of Veterinary Public Health of Agriculture Ministry ; Lanzhou Veterinary Research Institute ; Chinese Academy of Agricultural Sciences ; Lanzhou ; 730046 ; Gansu Province ; PR China
  19. Department of Microbiology ; Immunology & Tropical Medicine ; and Research Center for Neglected Diseases of Poverty ; School of Medicine & Health Sciences ; The George Washington University ; Washington ; DC ; USA
  
• 关键词：Proteases ; Taenia solium ; Drug target ; Vaccine candidate antigen ; Genome ; wide analysis ; Cysticercosis ; Platyhelminth
• 刊名：BMC Genomics
• 出版年：2014
• 出版时间：December 2014
• 年：2014
• 卷：15
• 期：1
• 全文大小：611 KB
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• 刊物主题：Life Sciences, general; Microarrays; Proteomics; Animal Genetics and Genomics; Microbial Genetics and Genomics; Plant Genetics & Genomics;
• 出版者：BioMed Central
• ISSN：1471-2164

文摘

Background Cysticercosis remains a major neglected tropical disease of humanity in many regions, especially in sub-Saharan Africa, Central America and elsewhere. Owing to the emerging drug resistance and the inability of current drugs to prevent re-infection, identification of novel vaccines and chemotherapeutic agents against Taenia solium and related helminth pathogens is a public health priority. The T. solium genome and the predicted proteome were reported recently, providing a wealth of information from which new interventional targets might be identified. In order to characterize and classify the entire repertoire of protease-encoding genes of T. solium, which act fundamental biological roles in all life processes, we analyzed the predicted proteins of this cestode through a combination of bioinformatics tools. Functional annotation was performed to yield insights into the signaling processes relevant to the complex developmental cycle of this tapeworm and to highlight a suite of the proteases as potential intervention targets. Results Within the genome of this helminth parasite, we identified 200 open reading frames encoding proteases from five clans, which correspond to 1.68% of the 11,902 protein-encoding genes predicted to be present in its genome. These proteases include calpains, cytosolic, mitochondrial signal peptidases, ubiquitylation related proteins, and others. Many not only show significant similarity to proteases in the Conserved Domain Database but have conserved active sites and catalytic domains. KEGG Automatic Annotation Server (KAAS) analysis indicated that ~60% of these proteases share strong sequence identities with proteins of the KEGG database, which are involved in human disease, metabolic pathways, genetic information processes, cellular processes, environmental information processes and organismal systems. Also, we identified signal peptides and transmembrane helices through comparative analysis with classes of important regulatory proteases. Phylogenetic analysis using Bayes approach provided support for inferring functional divergence among regulatory cysteine and serine proteases. Conclusion Numerous putative proteases were identified for the first time in T. solium, and important regulatory proteases have been predicted. This comprehensive analysis not only complements the growing knowledge base of proteolytic enzymes, but also provides a platform from which to expand knowledge of cestode proteases and to explore their biochemistry and potential as intervention targets.