Back to Search
Start Over
MaXIC-Q Web: a fully automated web service using statistical and computational methods for protein quantitation based on stable isotope labeling and LC–MS
- Source :
- Nucleic Acids Research
- Publication Year :
- 2009
- Publisher :
- Oxford University Press (OUP), 2009.
-
Abstract
- Isotope labeling combined with liquid chromatography–mass spectrometry (LC–MS) provides a robust platform for analyzing differential protein expression in proteomics research. We present a web service, called MaXIC-Q Web (http://ms.iis.sinica.edu.tw/MaXIC-Q_Web/), for quantitation analysis of large-scale datasets generated from proteomics experiments using various stable isotope-labeling techniques, e.g. SILAC, ICAT and user-developed labeling methods. It accepts spectral files in the standard mzXML format and search results from SEQUEST, Mascot and ProteinProphet as input. Furthermore, MaXIC-Q Web uses statistical and computational methods to construct two kinds of elution profiles for each ion, namely, PIMS (projected ion mass spectrum) and XIC (extracted ion chromatogram) from MS data. Toward accurate quantitation, a stringent validation procedure is performed on PIMSs to filter out peptide ions interfered with co-eluting peptides or noise. The areas of XICs determine ion abundances, which are used to calculate peptide and protein ratios. Since MaXIC-Q Web adopts stringent validation on spectral data, it achieves high accuracy so that manual validation effort can be substantially reduced. Furthermore, it provides various visualization diagrams and comprehensive quantitation reports so that users can conveniently inspect quantitation results. In summary, MaXIC-Q Web is a user-friendly, interactive, robust, generic web service for quantitation based on ICAT and SILAC labeling techniques.
- Subjects :
- Quantitative proteomics
ProteinProphet
Biology
Bioinformatics
computer.software_genre
Mass spectrometry
Nitric Acid
Mass Spectrometry
User-Computer Interface
Liquid chromatography–mass spectrometry
Stable isotope labeling by amino acids in cell culture
Genetics
Internet
business.industry
Computational Biology
Endothelial Cells
Proteins
Reproducibility of Results
Pattern recognition
Articles
Visualization
Data Interpretation, Statistical
Isotope Labeling
Artificial intelligence
Web service
Peptides
Mass spectrometry data format
business
computer
Software
Chromatography, Liquid
Subjects
Details
- ISSN :
- 13624962 and 03051048
- Volume :
- 37
- Database :
- OpenAIRE
- Journal :
- Nucleic Acids Research
- Accession number :
- edsair.doi.dedup.....c84a3a8a6471b22ba88d7b2a426cf4d7
- Full Text :
- https://doi.org/10.1093/nar/gkp476