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Proteomic analysis of streptomycin resistant and sensitive clinical isolates of Mycobacterium tuberculosis

机译:链霉素抗药性和敏感结核分枝杆菌临床分离株的蛋白质组学分析

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Background Streptomycin (SM) is a broad spectrum antibiotic and is an important component of any anti-tuberculosis therapy regimen. Several mechanisms have been proposed to explain the emergence of resistance but still our knowledge is inadequate. Proteins form a very complex network and drugs are countered by their modification/efflux or over expression/modification of targets. As proteins manifest most of the biological processes, these are attractive targets for developing drugs, immunodiagnostics or therapeutics. The aim of present study was to analyze and compare the protein profile of whole cell extracts from Mycobacterium tuberculosis clinical isolates susceptible and resistant to SM. Results Two-dimensional gel electrophoresis (2DE) and matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry was employed for analyzing the protein profiles. Homology and in silico characterization for identified proteins was assessed using BLAST, InterProScan and KEGG database searches. Computational studies on the possible interactions between SM and identified proteins were carried out by a battery of online servers and softwares, namely, CLUSTALW (KEGG), I-TASSER, VMD, PatchDock and FireDock. On comparing 2DE patterns, nine proteins were found consistently overexpressed in SM resistant isolates and were identified as Rv0350, Rv0440, Rv1240, Rv3075c, Rv2971, Rv3028c, Rv2145c, Rv2031c and Rv0569. In silico docking analysis showed significant interactions of SM with essential (Rv0350, Rv0440 and Rv2971) and non essential (Rv1240, Rv3075c and Rv2031c) genes. Conclusions The computational results suggest high protein binding affinity of SM and suggested many possible interactions between identified proteins and the drug. Bioinformatic analysis proves attributive for analysis of diversity of proteins identified by whole proteome analysis. In-depth study of the these proteins will give an insight into probable sites of drug action other than established primary sites and hence may help in search of novel chemotherapeutic agents at these new sites as inhibitors.
机译:背景链霉素(SM)是一种广谱抗生素,是任何抗结核治疗方案的重要组成部分。已经提出了几种机制来解释抗药性的出现,但我们的知识仍然不足。蛋白质形成非常复杂的网络,药物通过修饰/外排或靶标的过度表达/修饰来对抗。由于蛋白质表现出大多数生物过程,因此它们是开发药物,免疫诊断或治疗方法的有吸引力的靶标。本研究的目的是分析和比较对结核分枝杆菌临床分离株易感和耐药的全细胞提取物的蛋白质谱。结果采用二维凝胶电泳(2DE)和基质辅助激光解吸/电离飞行时间(MALDI-TOF)质谱分析蛋白质谱。使用BLAST,InterProScan和KEGG数据库搜索评估鉴定蛋白质的同源性和计算机表征。通过一系列在线服务器和软件,即CLUSTALW(KEGG),I-TASSER,VMD,PatchDock和FireDock,对SM和鉴定的蛋白质之间可能的相互作用进行了计算研究。在比较2DE模式时,发现9种蛋白质在SM抗性分离株中始终过量表达,被鉴定为Rv0350,Rv0440,Rv1240,Rv3075c,Rv2971,Rv3028c,Rv2145c,Rv2031c和Rv0569。在计算机对接分析中显示SM与必需基因(Rv0350,Rv0440和Rv2971)和非必需基因(Rv1240,Rv3075c和Rv2031c)有显着的相互作用。结论计算结果表明SM具有高蛋白结合亲和力,并表明鉴定出的蛋白与药物之间可能存在许多相互作用。生物信息学分析证明了对通过整个蛋白质组学分析鉴定的蛋白质多样性进行分析的归因。对这些蛋白质的深入研究将使人们了解除已建立的主要位点以外可能的药物作用位点,因此可能有助于在这些新位点上寻找新的化学治疗剂作为抑制剂。

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