High resolution mass spectrometry for structural identification of metabolites in metabolomics

E Rathahao-Paris, S Alves, C Junot, JC Tabet - Metabolomics, 2016 - Springer
High resolution mass spectrometry (HRMS) is increasingly used to produce metabolomics
data. Thanks to its high mass resolution and mass measurement accuracy, it is also very …

Detailed investigation and comparison of the XCMS and MZmine 2 chromatogram construction and chromatographic peak detection methods for preprocessing mass …

OD Myers, SJ Sumner, S Li, S Barnes, X Du - Analytical Chemistry, 2017 - ACS Publications
XCMS and MZmine 2 are two widely used software packages for preprocessing untargeted
LC/MS metabolomics data. Both construct extracted ion chromatograms (EICs) and detect …

Evaluation of coverage, retention patterns, and selectivity of seven liquid chromatographic methods for metabolomics

S Wernisch, S Pennathur - Analytical and bioanalytical chemistry, 2016 - Springer
Liquid chromatography–mass spectrometry-based metabolomics studies require highly
selective and efficient chromatographic techniques. Typically employed reversed-phase …

New advances in separation science for metabolomics: resolving chemical diversity in a post-genomic era

NL Kuehnbaum, P Britz-McKibbin - Chemical reviews, 2013 - ACS Publications
Metabolomics offers a revolutionary framework for phenotyping individuals at a molecular
level that is needed for new breakthroughs in cell biology and personalized medicine. 1− 3 …

[HTML][HTML] metaX: a flexible and comprehensive software for processing metabolomics data

B Wen, Z Mei, C Zeng, S Liu - BMC bioinformatics, 2017 - Springer
Background Non-targeted metabolomics based on mass spectrometry enables high-
throughput profiling of the metabolites in a biological sample. The large amount of data …

Untargeted large-scale plant metabolomics using liquid chromatography coupled to mass spectrometry

RCH De Vos, S Moco, A Lommen, JJB Keurentjes… - Nature protocols, 2007 - nature.com
Untargeted metabolomics aims to gather information on as many metabolites as possible in
biological systems by taking into account all information present in the data sets. Here we …

Mass spectrometry-based metabolomics: accelerating the characterization of discriminating signals by combining statistical correlations and ultrahigh resolution

E Werner, V Croixmarie, T Umbdenstock… - Analytical …, 2008 - ACS Publications
A strategy combining autocorrelation matrices and ultrahigh resolution mass spectrometry
(MS) was developed to optimize the characterization of discriminating ions highlighted by …

[HTML][HTML] Trackable and scalable LC-MS metabolomics data processing using asari

S Li, A Siddiqa, M Thapa, Y Chi, S Zheng - Nature Communications, 2023 - nature.com
Significant challenges remain in the computational processing of data from liquid
chomratography-mass spectrometry (LC-MS)-based metabolomic experiments into …

From exogenous to endogenous: the inevitable imprint of mass spectrometry in metabolomics

EJ Want, A Nordström, H Morita… - Journal of proteome …, 2007 - ACS Publications
Mass spectrometry (MS) is an established technology in drug metabolite analysis and is now
expanding into endogenous metabolite research. Its utility derives from its wide dynamic …

[HTML][HTML] GC–MS libraries for the rapid identification of metabolites in complex biological samples

N Schauer, D Steinhauser, S Strelkov, D Schomburg… - FEBS letters, 2005 - Elsevier
Gas chromatography–mass spectrometry based metabolite profiling of biological samples is
rapidly becoming one of the cornerstones of functional genomics and systems biology. Thus …