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Mass Spectrometry
Data on mass spectrometry reported by researchers at RIKEN
November 6th, 2009
"Most mass spectrometry based metabolomics studies are semiquantitative and depend on efficient normalization techniques to suppress systematic error. A common approach is to include isotope-labeled internal standards (ISs) and then express the estimated metabolite abundances relative to the IS," investigators in Suehiro, Japan report. "Because of problems such as insufficient chromatographic resolution, however, the analytes may directly influence estimates of the IS, a phenomenon known as cross-contribution (CC). Normalization using ISs that suffer from CC effects will cause significant loss of information if the interfering analytes are associated with the studied factors. We present a novel normalization algorithm, which compensates for systematic CC effects that can be traced back to a linear association with the experimental design. The proposed method was found to be superior at purifying the signal of interest compared to current normalization methods when applied to two biological data sets and a multicomponent dilution mixture," wrote H. Redestig and colleagues, RIKEN. The researchers concluded: "Our method is applicable to data from randomized and designed experiments that use ISs to monitor the systematic error." Redestig and colleagues published their study in Analytical Chemistry (Compensation for Systematic Cross-Contribution Improves Normalization of Mass Spectrometry Based Metabolomics Data. Analytical Chemistry, 2009;81(19):7974-7980). For additional information, contact H. Redestig, RIKEN Plant Science Center, Tsurumi Ku, 1-7-22 Yokohama, Suehiro, Kanagawa 2300045, Japan. The publisher of the journal Analytical Chemistry can be contacted at: American Chemical Society, 1155 16th St., NW, Washington, DC 20036, USA. Keywords: Japan, Suehiro, Analytical Chemistry, Mass Spectrometry, RIKEN. This article was prepared by NewsRx editors from staff and other reports. Copyright 2009, NewsRx.com.
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