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  Shotgun Lipidomics by Tandem Mass Spectrometry under Data-Dependent Acquisition Control

Schwudke, D., Liebisch, G., Herzog, R., Schmitz, G., & Shevchenko, A. (2007). Shotgun Lipidomics by Tandem Mass Spectrometry under Data-Dependent Acquisition Control. In H. A. Brown (Ed.), Lipidomics and bioactive lipids, [Pt. 3]: Spezialized analytical methods and lipids in disease, Vol. 433 (pp. 175-191). Amsterdam: Elsevier.

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 Creators:
Schwudke, Dominik1, Author           
Liebisch, Gerhard, Author
Herzog, Ronny1, Author           
Schmitz, Gerd, Author
Shevchenko, Andrej1, Author           
Affiliations:
1Max Planck Institute of Molecular Cell Biology and Genetics, Max Planck Society, ou_2340692              

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 Abstract: Data-dependent acquisition of full MS/MS spectra from all detectable (or, alternatively, preselected) lipid precursors produces a rich data set, whose subsequent interpretation by the dedicated software LipidInspector emulates the simultaneous acquisition of an unlimited number of precursor and neutral loss scans in a single analysis. Using logical operations, emulated scans can be combined into highly specific data interpretation routines (termed Boolean scans) enabling in-depth structural characterization of fragmented precursors. Alternatively, a small number of preselected precursors can be fragmented regardless of their relative intensities in survey spectra, hence emulating selected reaction monitoring (SRM) analysis that attains both high detection specificity and sensitivity. Although the data-dependent acquisition approach is, in principle, cross-platform, it benefits from the high mass resolution capacity of hybrid tandem mass spectrometers with time-of-flight and, especially, Fourier transform or Orbitrap analyzers.

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 Dates: 2007
 Publication Status: Issued
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 Identifiers: eDoc: 348508
Other: 933
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Title: Lipidomics and bioactive lipids, [Pt. 3]: Spezialized analytical methods and lipids in disease, Vol. 433
Source Genre: Book
 Creator(s):
Brown, H. Alex, Editor
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Publ. Info: Amsterdam : Elsevier
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 175 - 191 Identifier: -

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Title: Methods in enzymology
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