Suppr超能文献

清理蛋白质组学科学家们最爱的宠物的猫砂盆:避免胰蛋白酶假象的优化数据分析

Cleaning out the Litterbox of Proteomic Scientists' Favorite Pet: Optimized Data Analysis Avoiding Trypsin Artifacts.

作者信息

Schittmayer Matthias, Fritz Katarina, Liesinger Laura, Griss Johannes, Birner-Gruenberger Ruth

机构信息

Research Unit Functional Proteomics and Metabolic Pathways, Institute of Pathology, Medical University of Graz , 8010 Graz, Austria.

Omics Center Graz, BioTechMed-Graz , 8010 Graz, Austria.

出版信息

J Proteome Res. 2016 Apr 1;15(4):1222-9. doi: 10.1021/acs.jproteome.5b01105. Epub 2016 Mar 22.

Abstract

Chemically modified trypsin is a standard reagent in proteomics experiments but is usually not considered in database searches. Modification of trypsin is supposed to protect the protease against autolysis and the resulting loss of activity. Here, we show that modified trypsin is still subject to self-digestion, and, as a result, modified trypsin-derived peptides are present in standard digests. We depict that these peptides commonly lead to false-positive assignments even if native trypsin is considered in the database. Moreover, we present an easily implementable method to include modified trypsin in the database search with a minimal increase in search time and search space while efficiently avoiding these false-positive hits.

摘要

化学修饰的胰蛋白酶是蛋白质组学实验中的标准试剂,但在数据库搜索中通常未被考虑。胰蛋白酶的修饰旨在保护蛋白酶不发生自溶并避免由此导致的活性丧失。在此,我们表明修饰后的胰蛋白酶仍会发生自我消化,因此,标准消化物中存在修饰胰蛋白酶衍生的肽段。我们描述了即使在数据库中考虑了天然胰蛋白酶,这些肽段通常也会导致假阳性匹配。此外,我们提出了一种易于实施的方法,可将修饰的胰蛋白酶纳入数据库搜索,同时搜索时间和搜索空间的增加最小,且能有效避免这些假阳性匹配。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de51/4820788/82c5c79f9804/pr-2015-01105t_0003.jpg

相似文献

1
Cleaning out the Litterbox of Proteomic Scientists' Favorite Pet: Optimized Data Analysis Avoiding Trypsin Artifacts.
J Proteome Res. 2016 Apr 1;15(4):1222-9. doi: 10.1021/acs.jproteome.5b01105. Epub 2016 Mar 22.
3
Semi-supervised learning for peptide identification from shotgun proteomics datasets.
Nat Methods. 2007 Nov;4(11):923-5. doi: 10.1038/nmeth1113. Epub 2007 Oct 21.
4
Combining De Novo Peptide Sequencing Algorithms, A Synergistic Approach to Boost Both Identifications and Confidence in Bottom-up Proteomics.
J Proteome Res. 2017 Sep 1;16(9):3209-3218. doi: 10.1021/acs.jproteome.7b00198. Epub 2017 Aug 22.
8
Tryptic Peptides Bearing C-Terminal Dimethyllysine Need to Be Considered during the Analysis of Lysine Dimethylation in Proteomic Study.
J Proteome Res. 2017 Sep 1;16(9):3460-3469. doi: 10.1021/acs.jproteome.7b00373. Epub 2017 Aug 8.
9
Post-digestion ¹⁸O exchange/labeling for quantitative shotgun proteomics of membrane proteins.
Methods Mol Biol. 2012;893:223-40. doi: 10.1007/978-1-61779-885-6_15.

引用本文的文献

2
Taming the Huntington's Disease Proteome: What Have We Learned?
J Huntingtons Dis. 2021;10(2):239-257. doi: 10.3233/JHD-200465.
3
MS Amanda 2.0: Advancements in the standalone implementation.
Rapid Commun Mass Spectrom. 2021 Jun 15;35(11):e9088. doi: 10.1002/rcm.9088.
5
Irreversible oxidative post-translational modifications in heart disease.
Expert Rev Proteomics. 2019 Aug;16(8):681-693. doi: 10.1080/14789450.2019.1645602. Epub 2019 Jul 30.
7
Morph-specific protein patterns in the femoral gland secretions of a colour polymorphic lizard.
Sci Rep. 2019 Jun 10;9(1):8412. doi: 10.1038/s41598-019-44889-7.
8
Quantification of Cellular Folate Species by LC-MS after Stabilization by Derivatization.
Anal Chem. 2018 Jun 19;90(12):7349-7356. doi: 10.1021/acs.analchem.8b00650. Epub 2018 Jun 5.
9
Param-Medic: A Tool for Improving MS/MS Database Search Yield by Optimizing Parameter Settings.
J Proteome Res. 2017 Apr 7;16(4):1817-1824. doi: 10.1021/acs.jproteome.7b00028. Epub 2017 Mar 13.
10
PpEst is a novel PBAT degrading polyesterase identified by proteomic screening of Pseudomonas pseudoalcaligenes.
Appl Microbiol Biotechnol. 2017 Mar;101(6):2291-2303. doi: 10.1007/s00253-016-7992-8. Epub 2016 Nov 21.

本文引用的文献

2
Comprehensive identification of phosphorylation sites on the Numb endocytic adaptor protein.
Proteomics. 2015 Jan;15(2-3):434-46. doi: 10.1002/pmic.201400232.
3
MS-GF+ makes progress towards a universal database search tool for proteomics.
Nat Commun. 2014 Oct 31;5:5277. doi: 10.1038/ncomms6277.
4
Analysis of the tryptic search space in UniProt databases.
Proteomics. 2015 Jan;15(1):48-57. doi: 10.1002/pmic.201400227. Epub 2014 Dec 3.
5
MS Amanda, a universal identification algorithm optimized for high accuracy tandem mass spectra.
J Proteome Res. 2014 Aug 1;13(8):3679-84. doi: 10.1021/pr500202e. Epub 2014 Jun 26.
6
7
Demonstrating the feasibility of large-scale development of standardized assays to quantify human proteins.
Nat Methods. 2014 Feb;11(2):149-55. doi: 10.1038/nmeth.2763. Epub 2013 Dec 8.
8
An approach to correlate tandem mass spectral data of peptides with amino acid sequences in a protein database.
J Am Soc Mass Spectrom. 1994 Nov;5(11):976-89. doi: 10.1016/1044-0305(94)80016-2.
9
PRIDE Cluster: building a consensus of proteomics data.
Nat Methods. 2013 Feb;10(2):95-6. doi: 10.1038/nmeth.2343.
10
The PRoteomics IDEntifications (PRIDE) database and associated tools: status in 2013.
Nucleic Acids Res. 2013 Jan;41(Database issue):D1063-9. doi: 10.1093/nar/gks1262. Epub 2012 Nov 29.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验