Evaluating reproducibility and similarity of mass and intensity data in complex spectra--applications to tubulin.

Journal of the American Society for Mass Spectrometry
Matthew T OlsonAlfred L Yergey

Abstract

We present a data processing approach based on the spectral dot product for evaluating spectral similarity and reproducibility. The method introduces 95% confidence intervals on the spectral dot product to evaluate the strength of spectral correlation; it is the only calculation described to date that accounts for both the non-normal sampling distribution of the dot product and the number of peaks the spectra have in common. These measures of spectral similarity allow for the recursive generation of a consensus spectrum, which incorporates the most consistent features from statistically similar replicate spectra. Taking the spectral dot product and 95% confidence intervals between consensus spectra from different samples yields the similarity between these samples. Applying the data analysis scheme to replicates of brain tubulin CNBr peptides enables a robust comparison of tubulin isotype expression and post-translational modification patterns in rat and cow brains.

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Citations

Sep 29, 2011·Journal of the American Society for Mass Spectrometry·Matthew T OlsonAlfred L Yergey
Jun 15, 2010·Journal of the American Society for Mass Spectrometry·Simone NicolardiYuri E M van der Burgt
Oct 9, 2008·Analytical Biochemistry·Pascal Verdier-PinardDiane Braguer
Jul 16, 2016·Mass Spectrometry Reviews·Matthew B O'RourkeMatthew P Padula
Apr 10, 2014·American Journal of Clinical Pathology·Matthew T OlsonJames R Eshleman
Dec 10, 2016·Forensic Science International : Synergy·Melissa A Bodnar WillardRuth Waddell Smith
Sep 20, 2008·Journal of Proteome Research·Jayson A FalknerPhilip C Andrews
May 14, 2020·Journal of Proteome Research·Matthew T OlsonDan L Sackett

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