Shotgun lipidomics relies on the direct infusion of total lipid extracts into a high resolution tandem mass spectrometer. A single shotgun analysis produces several hundred of densely populated FT MS and FT MS/MS spectra, each of which might comprise thousands of peaks although a very small percentage of those belong to lipids. Eliminating noise by adjusting a minimal peak intensity threshold is biased and inefficient since lipid species and classes vary in their natural abundance and ionization capacity. We developed a method of peak intensity-independent noise filtering in shotgun FT MS and FT MS/MS spectra that capitalizes on a stable composition of the infused analyte leading to consistent time-independent detection of its bona fide components. Repetition rate filtering relies on a single quantitative measure of peaks detection reproducibility irrespectively of their absolute intensities, masses, or assumed elemental compositions. In comparative experiments, it removed more than 95% of signals detectable in shotgun spectra without compromising the accuracy and scope of lipid identification and quantification. It also accelerated spectra processing by 15-fold and increased the number of simultaneously processed spectra by approximately 500-fold hence eliminating the major bottleneck in high-throughput bottom-up shotgun lipidomics.
PubMed ID: 28570056
Journal: Anal Chem
Citation: Anal Chem. 2017 Jul 5;89(13):7046-7052. doi: 10.1021/acs.analchem.7b00794. Epub 2017 Jun 15.
Date Published: 15th Jun 2017
Authors: K. Schuhmann, H. Thomas, J. M. Ackerman, K. O. Nagornov, Y. O. Tsybin, A. Shevchenko
Created: 8th Jan 2018 at 10:41