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Intensity-Independent Noise Filtering in FT MS and FT MS/MS Spectra for Shotgun Lipidomics.
Journal article

Intensity-Independent Noise Filtering in FT MS and FT MS/MS Spectra for Shotgun Lipidomics.

  • Schuhmann K MPI of Molecular Cell Biology and Genetics , 01307 Dresden, Germany.
  • Thomas H MPI of Molecular Cell Biology and Genetics , 01307 Dresden, Germany.
  • Ackerman JM MPI of Molecular Cell Biology and Genetics , 01307 Dresden, Germany.
  • Nagornov KO Spectroswiss , EPFL Innovation Park, 1015 Lausanne, Switzerland.
  • Tsybin YO Spectroswiss , EPFL Innovation Park, 1015 Lausanne, Switzerland.
  • Shevchenko A MPI of Molecular Cell Biology and Genetics , 01307 Dresden, Germany.
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  • 2017-06-02
Published in:
  • Analytical chemistry. - 2017
Lipids
Sensitivity and Specificity
Tandem Mass Spectrometry
English 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 ∼500-fold hence eliminating the major bottleneck in high-throughput bottom-up shotgun lipidomics.
Language
  • English
Open access status
closed
Identifiers
Persistent URL
https://sonar.rero.ch/global/documents/211258
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