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A practical guide to the ICPL_ESIQuant software for ICPL-based quantitative proteomics

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Brunner,  Achim
Lottspeich, Friedrich / Protein Analysis, Max Planck Institute of Biochemistry, Max Planck Society;

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Kellermann,  Josef
Lottspeich, Friedrich / Protein Analysis, Max Planck Institute of Biochemistry, Max Planck Society;

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Lottspeich,  Friedrich
Lottspeich, Friedrich / Protein Analysis, Max Planck Institute of Biochemistry, Max Planck Society;

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引用

Brunner, A., Kellermann, J., & Lottspeich, F. (2014). A practical guide to the ICPL_ESIQuant software for ICPL-based quantitative proteomics. Biochimica et Biophysica Acta - Proteins Proteomics, 1844(1, Part A), 21-28. doi:10.1016/j.bbapap.2013.02.019.


引用: https://hdl.handle.net/11858/00-001M-0000-0017-DD04-E
要旨
ICPL_ESIQuant is a proteomics software tool for quantitatively analyzing large mass spectrometric datasets acquired from ICPL based proteomics experiments. It is able to process mass spectrometric data from various vendors and implements results from the Mascot search engine to generate protein and peptide result tables. This protocol briefly introduces ICPL_ESIQuant and presents a detailed step by step tutorial, how to use the software with MS datasets obtained from ICPL duplex, triplex and quadruplex experiments. Requiring MS raw data in .mzXML file format and Mascot search results in .dat format as input, ICPL_ESIQuant reliably quantifies ICPL labeled proteins and provides additional information about all detected, sequenced and identified features in the sample. The software supports both the shotgun and the directed proteomics strategy, enabling the user to apply mass inclusion lists for identifying peptides not fragmented in the first MS cycle. The software together with a test dataset is freely available under http://sourceforge.net/projects/icplquant/. This article is part of a Special Issue entitled: Computational Proteomics in the Post-Identification Era. Guest Editors: Martin Eisenacher and Christian Stephan. (C) 2013 Elsevier B.V. All rights reserved.