Literature DB >> 21751374

MassChroQ: a versatile tool for mass spectrometry quantification.

Benoît Valot1, Olivier Langella, Edlira Nano, Michel Zivy.   

Abstract

Recently, many software tools have been developed to perform quantification in LC-MS analyses. However, most of them are specific to either a quantification strategy (e.g. label-free or isotopic labelling) or a mass-spectrometry system (e.g. high or low resolution). In this context, we have developed MassChroQ (Mass Chromatogram Quantification), a versatile software that performs LC-MS data alignment and peptide quantification by peak area integration on extracted ion chromatograms. MassChroQ is suitable for quantification with or without labelling and is not limited to high-resolution systems. Peptides of interest (for example all the identified peptides) can be determined automatically, or manually by providing targeted m/z and retention time values. It can handle large experiments that include protein or peptide fractionation (as SDS-PAGE, 2-D LC). It is fully configurable. Every processing step is traceable, the produced data are in open standard formats and its modularity allows easy integration into proteomic pipelines. The output results are ready for use in statistical analyses. Evaluation of MassChroQ on complex label-free data obtained from low and high-resolution mass spectrometers showed low CVs for technical reproducibility (1.4%) and high coefficients of correlation to protein quantity (0.98). MassChroQ is freely available under the GNU General Public Licence v3.0 at http://pappso.inra.fr/bioinfo/masschroq/.
Copyright © 2011 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

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Year:  2011        PMID: 21751374     DOI: 10.1002/pmic.201100120

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  98 in total

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3.  A Systems Approach to Elucidate Heterosis of Protein Abundances in Yeast.

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Journal:  Mol Cell Proteomics       Date:  2015-05-13       Impact factor: 5.911

4.  An adaptive alignment algorithm for quality-controlled label-free LC-MS.

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5.  Multi-omics Analysis Reveals Sequential Roles for ABA during Seed Maturation.

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6.  Novel Aquaporin Regulatory Mechanisms Revealed by Interactomics.

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7.  Quantitative kinase and phosphatase profiling reveal that CDK1 phosphorylates PP2Ac to promote mitotic entry.

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Journal:  Sci Signal       Date:  2020-09-08       Impact factor: 8.192

8.  Shigella promotes major alteration of gut epithelial physiology and tissue invasion by shutting off host intracellular transport.

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Journal:  Proc Natl Acad Sci U S A       Date:  2019-06-17       Impact factor: 11.205

9.  Identification of Candidate Cyclin-dependent kinase 1 (Cdk1) Substrates in Mitosis by Quantitative Phosphoproteomics.

Authors:  Adam Petrone; Mark E Adamo; Chao Cheng; Arminja N Kettenbach
Journal:  Mol Cell Proteomics       Date:  2016-05-01       Impact factor: 5.911

10.  In Vivo Conformational Dynamics of Hsp90 and Its Interactors.

Authors:  Juan D Chavez; Devin K Schweppe; Jimmy K Eng; James E Bruce
Journal:  Cell Chem Biol       Date:  2016-06-23       Impact factor: 8.116

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