Multi-Q: A fully automated tool for multiplexed protein quantitation

Wen Ting Lin, Wei Neng Hung, Yi Hwa Yian, Kun Pin Wu, Chia Li Han, Yet Ran Chen, Yu Ju Chen, Ting Yi Sung, Wen Lian Hsu

研究成果: 雜誌貢獻文章同行評審

84 引文 斯高帕斯(Scopus)

摘要

The iTRAQ labeling method combined with shotgun proteomic techniques represents a new dimension in multiplexed quantitation for relative protein expression measurement in different cell states. To expedite the analysis of vast amounts of spectral data, we present a fully automated software package, called Multi-Q, for multiplexed iTRAQ-based quantitation in protein profiling. Multi-Q is designed as a generic platform that can accommodate various input data formats from search engines and mass spectrometer manufacturers. To calculate peptide ratios, the software automatically processes iTRAQ's signature peaks, including peak detection, background subtraction, isotope correction, and normalization to remove systematic errors. Furthermore, Multi-Q allows users to define their own data-filtering thresholds based on semiempirical values or statistical models so that the computed results of fold changes in peptide ratios are statistically significant. This feature facilitates the use of Multi-Q with various instrument types with different dynamic ranges, which is an important aspect of iTRAQ analysis. The performance of Multi-Q is evaluated with a mixture of 10 standard proteins and human Jurkat T cells. The results are consistent with expected protein ratios and thus demonstrate the high accuracy, full automation, and high-throughput capability of Multi-Q as a large-scale quantitation proteomics tool. These features allow rapid interpretation of output from large proteomic datasets without the need for manual validation. Executable Multi-Q files are available on Windows platform at http://ms.iis.sinica.edu.tw/Multi-Q/.

原文英語
頁(從 - 到)2328-2338
頁數11
期刊Journal of Proteome Research
5
發行號9
DOIs
出版狀態已發佈 - 九月 2006
對外發佈Yes

ASJC Scopus subject areas

  • Genetics
  • Biotechnology
  • Biochemistry

指紋 深入研究「Multi-Q: A fully automated tool for multiplexed protein quantitation」主題。共同形成了獨特的指紋。

引用此