Automated Generic Analysis Tools for Protein Quantitation Using Stable Isotope Labeling

  • Wen-Lian HsuEmail author
  • Ting-Yi Sung
Part of the Methods in Molecular Biology™ book series (MIMB, volume 604)


Isotope labeling combined with LC-MS/MS provides a robust platform for quantitative proteomics. Protein quantitation based on mass spectral data falls into two categories: one determined by MS/MS scans, e.g., iTRAQ-labeling quantitation, and the other by MS scans, e.g., quantitation using SILAC, ICAT, or 18O labeling. In large-scale LC-MS proteomic experiments, tens of thousands of MS and MS/MS spectra are generated and need to be analyzed. Data noise further complicates the data analysis. In this chapter, we present two automated tools, called Multi-Q and MaXIC-Q, for MS/MS- and MS-based quantitation analysis. They are designed as generic platforms that can accommodate search results from SEQUEST and Mascot, as well as mzXML files converted from raw files produced by various mass spectrometers. Toward accurate quantitation analysis, Multi-Q determines detection limits of the user’s instrument to filter out outliers and MaXIC-Q adopts stringent validation on our constructed projected ion mass spectra to ensure correct data for quantitation.

Key words

Computer software Stable isotope labeling Mass spectrometry Quantitative proteomics Quantitation analysis Dynamic range Extracted ion chromatogram Projected ion mass spectrum 



The authors gratefully acknowledge the financial support from the thematic program of Academia Sinica under Grant AS94B003 and AS95ASIA02 and the National Science Council of Taiwan under Grant NSC 95-3114-P-002-005-Y. We would also like to thank our collaborator Dr. Yu-Ju Chen’s lab in the Institute of Chemistry, Academia Sinica. Without their help and encouragement, this research would not have been possible.


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Copyright information

© Humana Press, a part of Springer Science+Business Media, LLC 2010

Authors and Affiliations

  1. 1.Institute of Information ScienceAcademia SinicaTaipeiTaiwan

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