KYSS: Mass spectrometry data quality assessment for protein analysis and large-scale proteomics

被引:2
作者
Such-Sanmartin, Gerard [1 ]
Sidoli, Simone [1 ]
Ventura-Espejo, Estela [1 ]
Jensen, Ole N. [1 ]
机构
[1] Univ Southern Denmark, Dept Biochem & Mol Biol, DK-5230 Odense M, Denmark
关键词
Quantitative proteome analysis; Bioinformatics; Data quality control; HUMAN PLASMA PROTEOME; PERFORMANCE METRICS; SHOTGUN PROTEOMICS; QUANTIFICATION; CHROMATOGRAPHY; QUANTITATION; INTEGRATION; CHEMISTRY; DIGESTION; ABUNDANCE;
D O I
10.1016/j.bbrc.2014.01.066
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
We introduce the computer tool "Know Your Samples" (KYSS) for assessment and visualisation of large scale proteomics datasets, obtained by mass spectrometry (MS) experiments. KYSS facilitates the evaluation of sample preparation protocols, LC peptide separation, and MS and MS/MS performance by monitoring the number of missed cleavages, precursor ion charge states, number of protein identifications and peptide mass error in experiments. KYSS generates several different protein profiles based on protein abundances, and allows for comparative analysis of multiple experiments. KYSS was adapted for blood plasma proteomics and provides concentrations of identified plasma proteins. We demonstrate the utility of the KYSS tool for MS based proteome analysis of blood plasma and for assessment of hydrogel particles for depletion of abundant proteins in plasma. The KYSS software is open source and is freely available at http://kyssproject.github.io/. (C) 2014 Elsevier Inc. All rights reserved.
引用
收藏
页码:702 / 707
页数:6
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