Literature DB >> 22519468

IsoQuant: a software tool for stable isotope labeling by amino acids in cell culture-based mass spectrometry quantitation.

Zhongping Liao1, Yunhu Wan, Stefani N Thomas, Austin J Yang.   

Abstract

Accurate protein identification and quantitation are critical when interpreting the biological relevance of large-scale shotgun proteomics data sets. Although significant technical advances in peptide and protein identification have been made, accurate quantitation of high-throughput data sets remains a key challenge in mass spectrometry data analysis and is a labor intensive process for many proteomics laboratories. Here, we report a new SILAC-based proteomics quantitation software tool, named IsoQuant, which is used to process high mass accuracy mass spectrometry data. IsoQuant offers a convenient quantitation framework to calculate peptide/protein relative abundance ratios. At the same time, it also includes a visualization platform that permits users to validate the quality of SILAC peptide and protein ratios. The program is written in the C# programming language under the Microsoft .NET framework version 4.0 and has been tested to be compatible with both 32-bit and 64-bit Windows 7. It is freely available to noncommercial users at http://www.proteomeumb.org/MZw.html .

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Year:  2012        PMID: 22519468      PMCID: PMC3583527          DOI: 10.1021/ac300510t

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  29 in total

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2.  A practical recipe for stable isotope labeling by amino acids in cell culture (SILAC).

Authors:  Shao-En Ong; Matthias Mann
Journal:  Nat Protoc       Date:  2006       Impact factor: 13.491

3.  A quantitative analysis software tool for mass spectrometry-based proteomics.

Authors:  Sung Kyu Park; John D Venable; Tao Xu; John R Yates
Journal:  Nat Methods       Date:  2008-03-16       Impact factor: 28.547

Review 4.  An assessment of software solutions for the analysis of mass spectrometry based quantitative proteomics data.

Authors:  Lukas N Mueller; Mi-Youn Brusniak; D R Mani; Ruedi Aebersold
Journal:  J Proteome Res       Date:  2008-01-04       Impact factor: 4.466

5.  MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification.

Authors:  Jürgen Cox; Matthias Mann
Journal:  Nat Biotechnol       Date:  2008-11-30       Impact factor: 54.908

6.  A practical guide to the MaxQuant computational platform for SILAC-based quantitative proteomics.

Authors:  Jürgen Cox; Ivan Matic; Maximiliane Hilger; Nagarjuna Nagaraj; Matthias Selbach; Jesper V Olsen; Matthias Mann
Journal:  Nat Protoc       Date:  2009       Impact factor: 13.491

7.  MSQuant, an open source platform for mass spectrometry-based quantitative proteomics.

Authors:  Peter Mortensen; Joost W Gouw; Jesper V Olsen; Shao-En Ong; Kristoffer T G Rigbolt; Jakob Bunkenborg; Jürgen Cox; Leonard J Foster; Albert J R Heck; Blagoy Blagoev; Jens S Andersen; Matthias Mann
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8.  Rover: a tool to visualize and validate quantitative proteomics data from different sources.

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Journal:  Proteomics       Date:  2010-03       Impact factor: 3.984

9.  The impact of peptide abundance and dynamic range on stable-isotope-based quantitative proteomic analyses.

Authors:  Corey E Bakalarski; Joshua E Elias; Judit Villén; Wilhelm Haas; Scott A Gerber; Patrick A Everley; Steven P Gygi
Journal:  J Proteome Res       Date:  2008-09-18       Impact factor: 4.466

10.  ProSight PTM 2.0: improved protein identification and characterization for top down mass spectrometry.

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Journal:  Nucleic Acids Res       Date:  2007-06-22       Impact factor: 16.971

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Journal:  Methods Mol Biol       Date:  2017

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Journal:  Electrophoresis       Date:  2012-11-26       Impact factor: 3.535

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4.  Classification-based quantitative analysis of stable isotope labeling by amino acids in cell culture (SILAC) data.

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Journal:  Comput Methods Programs Biomed       Date:  2016-09-22       Impact factor: 5.428

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7.  An Internal Standard-Assisted Synthesis and Degradation Proteomic Approach Reveals the Potential Linkage between VPS4B Depletion and Activation of Fatty Acid β-Oxidation in Breast Cancer Cells.

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8.  Exosomal Proteome Profiling: A Potential Multi-Marker Cellular Phenotyping Tool to Characterize Hypoxia-Induced Radiation Resistance in Breast Cancer.

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9.  Glycoproteomic Approach Identifies KRAS as a Positive Regulator of CREG1 in Non-small Cell Lung Cancer Cells.

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10.  Haploinsufficiency of the intellectual disability gene SETD5 disturbs developmental gene expression and cognition.

Authors:  Elena Deliu; Niccolò Arecco; Jasmin Morandell; Christoph P Dotter; Ximena Contreras; Charles Girardot; Eva-Lotta Käsper; Alena Kozlova; Kasumi Kishi; Ilaria Chiaradia; Kyung-Min Noh; Gaia Novarino
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