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Anal Chem ; 82(12): 5060-8, 2010 Jun 15.
Artigo em Inglês | MEDLINE | ID: mdl-20503988

RESUMO

Mass spectrometry-based proteomics is typically performed using high performance liquid chromatography (HPLC) to introduce peptides into the instrument via electrospray ionization. A variety of configurations exist with varying degrees of precision and cost, but the ultimate goal is the reproducible delivery of peptides in well-separated elution peaks. It is well-known that the quality of chromatography can have a dramatic effect on sample identification as well as run-to-run reproducibility, which is especially important for quantitative analyses. Despite the importance of the HPLC system for both shotgun and targeted proteomics, there are few tools available to monitor HPLC performance. In this paper, we describe a new open-source software application, named ChromEval, to allow rapid assessment of HPLC performance, as well as to provide other metrics of mass spectrometer performance, including mass accuracy calibration. ChromEval permits the user to visually monitor the elution of a set of standard peptides in quality control runs interspersed among a regular workflow. To perform these tasks, ChromEval searches mzXML files using Tandem and presents the peptide results in a graphical user interface (GUI) that allows fast assessment of chromatography by visualization of superimposed elution peaks. This tool facilitates the identification and troubleshooting of chromatography problems such as retention time shifts and variance in sample loading due to autosampler error. It also provides crude but consistent metrics of instrument performance including mass accuracy calibration and number of peptides identified from the standard mixture. ChromEval generates easily interpretable data quickly and thereby enables go/no-go decision making during intensive instrument operation.


Assuntos
Cromatografia Líquida de Alta Pressão/métodos , Proteínas/análise , Proteômica/métodos , Software , Cromatografia Líquida de Alta Pressão/economia , Peptídeos/análise , Proteômica/economia , Fatores de Tempo
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