A novel informatics concept for high-throughput shotgun lipidomics based on the molecular fragmentation query language

By R. Herzog, D. Schwudke, Kai Schuhmann, J. Sampaio, S. Bornstein, Michael Schroeder, Andrej Shevchenko. Genome Biology, 2011

409 citations recorded by the source corpus.

Shotgun lipidome profiling relies on direct mass spectrometric analysis of total lipid extracts from cells, tissues or organisms and is a powerful tool to elucidate the molecular composition of lipidomes. We present a novel informatics concept of the molecular fragmentation query language implemented within the LipidXplorer open source software kit that supports accurate quantification of individual species of any ionizable lipid class in shotgun spectra acquired on any mass spectrometry platform.

Subfields: Molecular Biology, Spectroscopy

View Paper: https://www.semanticscholar.org/paper/2a4ca001fcb6a9a141b35e16335c7557e14423b5

How researchers see this paper

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In Molecular Biology

1. J. Sampaio
2. Andrej Shevchenko

In Spectroscopy

1. J. Sampaio
2. Andrej Shevchenko

Citations in the corpus

• Modulation of Myelopoiesis Progenitors Is an Integral Component of Trained Immunity (2018, neutral): “…package Wickham, 2007 https://cran.r-project.org/web/packages/ reshape2/index.html ggplot2 Wickham, 2009 http://ggplot2.org/ LipidXplorer Herzog et al., 2011, 2012 https://wiki.mpi-cbg.de/lipidx/Main_Page MATLAB 9.0 MathWorks…”
• LipidXplorer: A Software for Consensual Cross-Platform Lipidomics (2012, methodology): “We previously demonstrated that, because of the two conceptually novel solutions – MasterScan and MFQL, LipidXplorer enabled accurate interpretation of shotgun lipidomics datasets acquired on different tandem mass spectrometers [12].”