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一项人类蛋白质组组织(HUPO)测试样本研究揭示了基于质谱的蛋白质组学中的常见问题。

A HUPO test sample study reveals common problems in mass spectrometry-based proteomics.

作者信息

Bell Alexander W, Deutsch Eric W, Au Catherine E, Kearney Robert E, Beavis Ron, Sechi Salvatore, Nilsson Tommy, Bergeron John J M

机构信息

Department of Anatomy and Cell Biology, McGill University, Montreal, Canada.

出版信息

Nat Methods. 2009 Jun;6(6):423-30. doi: 10.1038/nmeth.1333.

Abstract

We performed a test sample study to try to identify errors leading to irreproducibility, including incompleteness of peptide sampling, in liquid chromatography-mass spectrometry-based proteomics. We distributed an equimolar test sample, comprising 20 highly purified recombinant human proteins, to 27 laboratories. Each protein contained one or more unique tryptic peptides of 1,250 Da to test for ion selection and sampling in the mass spectrometer. Of the 27 labs, members of only 7 labs initially reported all 20 proteins correctly, and members of only 1 lab reported all tryptic peptides of 1,250 Da. Centralized analysis of the raw data, however, revealed that all 20 proteins and most of the 1,250 Da peptides had been detected in all 27 labs. Our centralized analysis determined missed identifications (false negatives), environmental contamination, database matching and curation of protein identifications as sources of problems. Improved search engines and databases are needed for mass spectrometry-based proteomics.

摘要

我们进行了一项测试样本研究,试图识别液相色谱-质谱联用蛋白质组学中导致不可重复性的错误,包括肽段采样不完整。我们将包含20种高度纯化的重组人蛋白的等摩尔测试样本分发给27个实验室。每种蛋白包含一个或多个1250 Da的独特胰蛋白酶肽段,用于在质谱仪中测试离子选择和采样。在这27个实验室中,只有7个实验室的成员最初正确报告了所有20种蛋白,只有1个实验室的成员报告了所有1250 Da的胰蛋白酶肽段。然而,对原始数据的集中分析表明,所有27个实验室都检测到了所有20种蛋白和大多数1250 Da的肽段。我们的集中分析确定了漏检(假阴性)、环境污染、数据库匹配以及蛋白质鉴定的整理作为问题来源。基于质谱的蛋白质组学需要改进搜索引擎和数据库。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9898/2785450/3e9be35f6aa9/nihms-130531-f0001.jpg

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