News Column

New Proteomics Study Results Reported from Yale University (Review of software tools for design and analysis of large scale MRM proteomic datasets)

July 31, 2014

By a News Reporter-Staff News Editor at Computer Weekly News -- Investigators discuss new findings in Proteomics. According to news reporting from New Haven, Connecticut, by VerticalNews journalists, research stated, "Selective or Multiple Reaction monitoring (SRM/MRM) is a liquid-chromatography (LC)/tandem-mass spectrometry (MS/MS) method that enables the quantitation of specific proteins in a sample by analyzing precursor ions and the fragment ions of their selected tryptic peptides. Instrumentation software has advanced to the point that thousands of transitions (pairs of primary and secondary m/z values) can be measured in a triple quadrupole instrument coupled to an LC, by a well-designed scheduling and selection of m/z windows."

The news correspondents obtained a quote from the research from Yale University, "The design of a good MRM assay relies on the availability of peptide spectra from previous discovery-phase LC-MS/MS studies. The tedious aspect of manually developing and processing MRM assays involving thousands of transitions has spurred to development of software tools to automate this process. Software packages have been developed for project management, assay development, assay validation, data export, peak integration, quality assessment, and biostatistical analysis."

According to the news reporters, the research concluded: "No single tool provides a complete end-to-end solution, thus this article reviews the current state and discusses future directions of these software tools in order to enable researchers to combine these tools for a comprehensive targeted proteomics workflow."

For more information on this research see: Review of software tools for design and analysis of large scale MRM proteomic datasets. Methods, 2013;61(3):287-98. (Elsevier -; Methods -

Our news journalists report that additional information may be obtained by contacting C.M. Colangelo, WM Keck Foundation Biotechnology Resource Laboratory, School of Medicine, Yale University, New Haven, CT 06510, United States. Additional authors for this research include L. Chung, C. Bruce and K.H Cheung.

Keywords for this news article include: New Haven, Connecticut, United States, North and Central America, Proteomics, Software.

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Source: Computer Weekly News

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