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PepQuery enables fast accurate and convenient proteomic validation of novel genomic alterations

机译:PepQuery可以对新型基因组改变进行快速准确和方便的蛋白质组学验证

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摘要

Massively parallel or second-generation sequencing-based genomic studies continuously identify new genomic alterations that may lead to novel protein sequences, which are attractive candidates for disease biomarkers and therapeutic targets after proteomic validation. Integrative proteogenomic methods have been developed to use mass spectrometry (MS)-based proteomics data for such validation. These methods replace the reference sequence database in proteomic database searching with a customized protein database that incorporates sample- or disease-specific sequences derived from DNA or RNA sequencing, thus enabling the identification of novel protein sequences. Although useful, this spectrum-centric approach requires a full evaluation of all possible spectrum-peptide pairs, which is time-consuming, error-prone, and difficult to apply. Here, we present PepQuery, a peptide-centric approach that focuses on only novel DNA or protein sequences of interest. PepQuery allows quick and easy proteomic validation of genomic alterations without customized database construction. We demonstrated the sensitivity and specificity of the approach in validating completely novel proteins, novel splice junctions, and single amino acid variants using simulations and experimental data. Notably, enabling unrestricted modification searching in PepQuery reduced false positives by up to 95%. We implemented PepQuery as both web-based and stand-alone applications. The web version provides direct access to more than half a billion MS/MS spectra from the Clinical Proteomic Tumor Analysis Consortium (CPTAC) and other cancer proteomic studies. The stand-alone version supports batch analysis and user-provided MS/MS data. PepQuery will increase the usage of proteogenomics beyond the proteomics community and will broaden the application of proteogenomics in personalized medicine.
机译:大规模并行或基于第二代测序的基因组研究不断发现可能导致新蛋白质序列的新基因组改变,这是经过蛋白质组学验证的疾病生物标志物和治疗靶标的有吸引力的候选者。已开发出整合蛋白质组学方法,以使用基于质谱(MS)的蛋白质组学数据进行此类验证。这些方法用定制的蛋白质数据库代替了蛋白质组学数据库中的参考序列数据库,该数据库结合了源自DNA或RNA测序的样品或疾病特异性序列,从而能够鉴定新的蛋白质序列。尽管有用,但这种以频谱为中心的方法需要对所有可能的频谱-肽对进行全面评估,这很耗时,容易出错且难以应用。在这里,我们介绍PepQuery,这是一种以肽为中心的方法,只关注感兴趣的新型DNA或蛋白质序列。 PepQuery可以快速轻松地对基因组改变进行蛋白质组学验证,而无需定制的数据库构建。我们使用模拟和实验数据证明了该方法在验证全新蛋白质,新型剪接连接和单个氨基酸变体方面的敏感性和特异性。值得注意的是,在PepQuery中启用不受限制的修改搜索可以减少多达95%的误报。我们将PepQuery实施为基于Web的应用程序和独立应用程序。该网络版本可直接访问临床蛋白质组学肿瘤分析联合会(CPTAC)和其他癌症蛋白质组学研究的超过十亿个MS / MS光谱。独立版本支持批处理分析和用户提供的MS / MS数据。 PepQuery将在蛋白质组学界之外增加蛋白质组学的应用,并将扩大蛋白质组学在个性化医学中的应用。

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