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Analysing the outer membrane subproteome of Methylococcus capsulatus (Bath) using proteomics and novel biocomputing tools

机译:使用蛋白质组学和新型生物计算工具分析荚膜甲基球菌(Bath)的外膜亚蛋白质组

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High-resolution two-dimensional gel electrophoresis and mass spectrometry has been used to identify the outer membrane (OM) subproteome of the Gram-negative bacterium Methylococcus capsulatus (Bath). Twenty-eight unique polypeptide sequences were identified from protein samples enriched in OMs. Only six of these polypeptides had previously been identified. The predictions from novel bioinformatic methods predicting beta-barrel outer membrane proteins (OMPs) and OM lipoproteins were compared to proteins identified experimentally. BOMP (http://www.bioinfo.no/tools/bomp) predicted 43 beta-barrel OMPs (1.45%) from the 2,959 annotated open reading frames. This was a lower percentage than predicted from other Gram-negative proteomes (1.8-3%). More than half of the predicted BOMPs in M. capsulatus were annotated as (conserved) hypothetical proteins with significant similarity to very few sequences in Swiss-Prot or TrEMBL. The experimental data and the computer predictions indicated that the protein composition of the M. capsulatus OM subproteome was different from that of other Gram-negative bacteria studied in a similar manner. A new program, Lipo, was developed that can analyse entire predicted proteomes and give a list of recognised lipoproteins categorised according to their lipo-box similarity to known Gram-negative lipoproteins (http://www.bioinfo.no/tools/lipo). This report is the first using a proteomics and bioinformatics approach to identify the OM subproteome of an obligate methanotroph.
机译:高分辨率二维凝胶电泳和质谱已用于鉴定革兰氏阴性细菌荚膜甲基球菌(Bath)的外膜(OM)亚蛋白质组。从富含OM的蛋白质样品中鉴定出28个独特的多肽序列。这些多肽中只有六种先前已被鉴定。来自新型生物信息学方法的预测(预测β-桶外膜蛋白(OMPs)和OM脂蛋白)与实验鉴定的蛋白进行了比较。 BOMP(http://www.bioinfo.no​​/tools/bomp)从2959个带注释的开放阅读框架中预测了43个β-桶OMP(占1.45%)。这比其他革兰氏阴性蛋白质组的预测值低(1.8-3%)。荚膜分枝杆菌中超过一半的预测BOMPs被注释为(保守的)假设蛋白,与Swiss-Prot或TrEMBL中极少的序列具有显着相似性。实验数据和计算机预测结果表明,荚膜分枝杆菌OM亚蛋白质组的蛋白质组成与以相似方式研究的其他革兰氏阴性细菌的蛋白质组成不同。开发了一个新程序Lipo,该程序可以分析整个预测的蛋白质组,并给出根据与已知的革兰氏阴性脂蛋白的脂盒相似性分类的公认脂蛋白的列表(http://www.bioinfo.no​​/tools/lipo) 。该报告是首次使用蛋白质组学和生物信息学方法来鉴定专性甲烷营养生物的OM亚蛋白质组。

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