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

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.

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Datensatz-Permalink: https://hdl.handle.net/11858/00-001M-0000-0017-DD04-E Versions-Permalink: https://hdl.handle.net/11858/00-001M-0000-0017-DD0C-D
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 Urheber:
Brunner, Achim1, Autor           
Kellermann, Josef1, Autor           
Lottspeich, Friedrich1, Autor           
Affiliations:
1Lottspeich, Friedrich / Protein Analysis, Max Planck Institute of Biochemistry, Max Planck Society, ou_1565158              

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Schlagwörter: STRATEGYICPL; Isotope-coded protein label; Mass spectrometry; Protein quantification software; Quantitative proteomics;
 Zusammenfassung: 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.

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Sprache(n): eng - English
 Datum: 2014-01
 Publikationsstatus: Erschienen
 Seiten: 8
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: ISI: 000330911400004
DOI: 10.1016/j.bbapap.2013.02.019
 Art des Abschluß: -

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Titel: Biochimica et Biophysica Acta - Proteins Proteomics
  Alternativer Titel : BBA-Proteins Proteomics
  Alternativer Titel : Computational Proteomics in the Post-Identification Era
Genre der Quelle: Zeitschrift
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS : ELSEVIER SCIENCE BV
Seiten: - Band / Heft: 1844 (1, Part A) Artikelnummer: - Start- / Endseite: 21 - 28 Identifikator: ISSN: 1570-9639