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LC‐MS Data Processing with MAVEN: A Metabolomic Analysis and Visualization Engine

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TLDR
MAVEN as mentioned in this paper is an open-source software program for interactive processing of LC-MS-based metabolomics data, which enables rapid and reliable metabolite quantitation from multiple reaction monitoring data or high-resolution full-scan mass spectrometry data.
Abstract
MAVEN is an open-source software program for interactive processing of LC-MS-based metabolomics data. MAVEN enables rapid and reliable metabolite quantitation from multiple reaction monitoring data or high-resolution full-scan mass spectrometry data. It automatically detects and reports peak intensities for isotope-labeled metabolites. Menu-driven, click-based navigation allows visualization of raw and analyzed data. Here we provide a User Guide for MAVEN. Step-by-step instructions are provided for data import, peak alignment across samples, identification of metabolites that differ strongly between biological conditions, quantitation and visualization of isotope-labeling patterns, and export of tables of metabolite-specific peak intensities. Together, these instructions describe a workflow that allows efficient processing of raw LC-MS data into a form ready for biological analysis.

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Multivariate Analysis in Metabolomics.

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Microbiome-derived inosine modulates response to checkpoint inhibitor immunotherapy

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Tissue of origin dictates branched-chain amino acid metabolism in mutant Kras-driven cancers

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Metabolite concentrations, fluxes, and free energies imply efficient enzyme usage

TL;DR: Across metabolism, the observed conservation of metabolite concentrations and ΔG are substantially conserved, and that most substrate (but not inhibitor) concentrations exceed the associated enzyme binding site affinity.
References
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XCMS: processing mass spectrometry data for metabolite profiling using nonlinear peak alignment, matching, and identification.

TL;DR: An LC/MS-based data analysis approach, XCMS, which incorporates novel nonlinear retention time alignment, matched filtration, peak detection, and peak matching, and is demonstrated using data sets from a previously reported enzyme knockout study and a large-scale study of plasma samples.
Journal ArticleDOI

MZmine 2: Modular framework for processing, visualizing, and analyzing mass spectrometry-based molecular profile data

TL;DR: A new generation of a popular open-source data processing toolbox, MZmine 2 is introduced, suitable for processing large batches of data and has been applied to both targeted and non-targeted metabolomic analyses.
Journal ArticleDOI

Systems biology: Metabonomics

Jeremy K. Nicholson, +1 more
- 23 Oct 2008 - 
TL;DR: By measuring and mathematically modelling changes in the levels of products of metabolism found in biological fluids and tissues, metabonomics offers fresh insight into the effects of diet, drugs and disease.
Journal ArticleDOI

A guided tour of the Trans‐Proteomic Pipeline

TL;DR: The full workflow of the TPP is described, along with an example on a sample data set, demonstrating that the setup and use of the tools are straightforward and well supported and do not require specialized informatic resources or knowledge.
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