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Large-Scale Reanalysis of Publicly Available HeLa Cell Proteomics Data in the Context of the Human Proteome Project

机译:在人类蛋白质组项目的背景下,公共可用的Hela细胞蛋白质组学数据的大规模再分析

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The practice of data sharing in the proteomics field took off and quickly spread in recent years as a result of collective effort. Nowadays, most journal editors mandate the submission of the original raw mass spectra to one of the data-bases of the ProteomeXchange consortium. With the exception of large institutional initiatives such as PeptideAtlas or the GPMDB, few new studies are however based on the reanalysis of mass spectrometry data. A wealth of information is thus left unexploited in public databases and repositories. Here, we present the large-scale reanalysis of 41 publicly available data sets corresponding to experiments carried out on the HeLa cancer cell line using a custom workflow. In addition to the search of new post-translational modification sites and "missing proteins", our main goal is to identify single amino acid variants and evaluate their impact on protein expression and stability through the spectral counting quantification approach. The X!Tandem software was selected to perform the search of a total of 56 363 701 tandem mass spectra against a customized variant protein database, compiled by the application of the in-house MzVar tool on HeLa-specific somatic and genomic variants retrieved from the COSMIC cell line project. After filtering the resulting identifications with a 1% FDR threshold computed at the protein level, 49 466 unique peptides were identified in 7266 protein entries, allowing the validation of 5576 protein entries in accordance with the HPP guidelines version 2.1. A new "missing protein" was observed (FRAT2, NX_O75474, chromosome 10), and 189 new phosphorylation and 392 new protein N-terminal acetylation sites could be identified. Twenty-four variant peptides were also identified, corresponding to 21 variants in 21 proteins. For three of the nine heterozygous cases where both the variant peptide and its wild-type counterpart were detected, the application of a two-tailed sign test showed a significant difference in the ab
机译:由于集体努力,近年来,蛋白质组学分享的数据共享的实践起飞并迅速传播。如今,大多数期刊编辑授权将原始原始质谱提交给Proteomexchange联盟的数据库之一。除了诸如PeptidAtlas或GPMDB之类的大型制度举措,然而,很少有新的研究是基于质谱数据的再分析。因此,大量信息在公共数据库和存储库中仍未开发。在这里,我们介绍了使用定制工作流程对应于在Hela癌细胞系上进行的实验的41个公共数据集的大规模分析。除了寻找新的翻译后修改网站和“缺失蛋白质”之外,我们的主要目标是鉴定单氨基酸变体,并通过光谱计数定量方法评估它们对蛋白质表达和稳定性的影响。选择x!串联软件,通过应用内部MZVAR工具在从中检索的HELA特定的体制和基因组变体上进行的定制变体蛋白质数据库进行总共5663个701串联质谱进行搜索。宇宙细胞系项目。在过滤所得到的鉴定后,在蛋白质水平计算的1%FDR阈值,在7266个蛋白条目中鉴定了49个466个独特的肽,允许根据HPP指南2.1验证5576个蛋白质条目。观察到新的“缺失蛋白质”(FRAT2,NX_O75474,染色体10)和189个新的磷酸化和392个新的蛋白质N-末端乙酰化位点。还鉴定了二十四种变体肽,对应于21例蛋白中的21个变体。对于检测到变体肽和野生型对应物的三种杂合病例中的三个杂合病例中的三种,两个尾标志测试的应用显示出AB的显着差异

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