Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Mass Spectrometry: Complex Analysis01:21

Mass Spectrometry: Complex Analysis

Mass spectrometry is an important technique for the identification of pure compounds. However, it has some limitations for the analysis of complex mixtures, often due to excessive fragmentation making the spectrum too complicated to decipher. Mass spectrometry can be combined with suitable separation methods in sequence, forming hyphenated methods, which are useful in the analysis of complex mixtures.
GC–MS is a powerful hyphenated method commonly used in forensics and environmental...
Mass Spectrometry: Overview01:19

Mass Spectrometry: Overview

Mass spectrometry is an analytical technique used to determine the molecular mass and molecular formula of a compound. The basic principle of mass spectrometry is to generate ions from the analyte molecule and measure these ion abundances against their molecular mass. One common type of ionization, known as electron ionization or EI, bombards the analyte molecules in the gas phase with high-energy electron beams. The electron beams displace an electron from the molecule and leave behind a...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Reply to "Real-world safety, prognostic, and design considerations in ketogenic diet trials for pancreatic cancer".

Cancer·2026
Same author

Host metabolism can produce many indoles and phenols independently of the microbiome.

Nature metabolism·2026
Same author

Leveraging 13C-Labeling to Assign Molecular Formulas to Unknown Yeast Metabolites.

Journal of the American Society for Mass Spectrometry·2026
Same author

A Liver-Targeted Copper Supplement Reduces Metabolic Dysfunction-Associated Liver Steatosis by Increasing Lipolysis and Fatty Acid Oxidation.

bioRxiv : the preprint server for biology·2026
Same author

Phylogenetic reconstruction of ancestral ageing rates in the primate lineage.

Proceedings. Biological sciences·2026
Same author

Pharmacologic AMPK Activation Extends Lifespan in <i>C. elegans</i> and Improves Aspects of Healthspan in Mice.

bioRxiv : the preprint server for biology·2026
Same journal

Protein Sequence Analysis Using the MPI Bioinformatics Toolkit.

Current protocols in bioinformatics·2020
Same journal

Exploring Manually Curated Annotations of Intrinsically Disordered Proteins with DisProt.

Current protocols in bioinformatics·2020
Same journal

Network Building with the Cytoscape BioGateway App Explained in Five Use Cases.

Current protocols in bioinformatics·2020
Same journal

Expanding the Perseus Software for Omics Data Analysis With Custom Plugins.

Current protocols in bioinformatics·2020
Same journal

Exploring Non-Coding RNAs in RNAcentral.

Current protocols in bioinformatics·2020
Same journal

How to Illuminate the Dark Proteome Using the Multi-omic OpenProt Resource.

Current protocols in bioinformatics·2020
See all related articles

Related Experiment Video

Updated: May 24, 2026

A Strategy for Sensitive, Large Scale Quantitative Metabolomics
14:18

A Strategy for Sensitive, Large Scale Quantitative Metabolomics

Published on: May 27, 2014

LC-MS data processing with MAVEN: a metabolomic analysis and visualization engine.

Michelle F Clasquin1, Eugene Melamud, Joshua D Rabinowitz

  • 1Department of Chemistry and Integrative Genomics, Carl Icahn Laboratory, Princeton, New Jersey, USA.

Current Protocols in Bioinformatics
|March 6, 2012
PubMed
Summary
This summary is machine-generated.

MAVEN is an open-source software for processing LC-MS metabolomics data. This guide details its use for metabolite quantitation and analysis, streamlining raw data into biological insights.

More Related Videos

The Terroir Concept Interpreted through Grape Berry Metabolomics and Transcriptomics
13:02

The Terroir Concept Interpreted through Grape Berry Metabolomics and Transcriptomics

Published on: October 5, 2016

Untargeted Metabolomics from Biological Sources Using Ultraperformance Liquid Chromatography-High Resolution Mass Spectrometry (UPLC-HRMS)
11:00

Untargeted Metabolomics from Biological Sources Using Ultraperformance Liquid Chromatography-High Resolution Mass Spectrometry (UPLC-HRMS)

Published on: May 20, 2013

Related Experiment Videos

Last Updated: May 24, 2026

A Strategy for Sensitive, Large Scale Quantitative Metabolomics
14:18

A Strategy for Sensitive, Large Scale Quantitative Metabolomics

Published on: May 27, 2014

The Terroir Concept Interpreted through Grape Berry Metabolomics and Transcriptomics
13:02

The Terroir Concept Interpreted through Grape Berry Metabolomics and Transcriptomics

Published on: October 5, 2016

Untargeted Metabolomics from Biological Sources Using Ultraperformance Liquid Chromatography-High Resolution Mass Spectrometry (UPLC-HRMS)
11:00

Untargeted Metabolomics from Biological Sources Using Ultraperformance Liquid Chromatography-High Resolution Mass Spectrometry (UPLC-HRMS)

Published on: May 20, 2013

Area of Science:

  • Biochemistry
  • Computational Biology
  • Analytical Chemistry

Background:

  • Metabolomics research relies on accurate quantification of metabolites from complex mass spectrometry data.
  • Existing software may lack comprehensive features for interactive data processing and isotope-labeling analysis.
  • Efficient workflows are crucial for translating raw liquid chromatography-mass spectrometry (LC-MS) data into biological understanding.

Purpose of the Study:

  • To provide a comprehensive User Guide for the MAVEN software.
  • To demonstrate a streamlined workflow for processing LC-MS metabolomics data.
  • To enable researchers to perform rapid and reliable metabolite quantitation and analysis.

Main Methods:

  • Utilizing MAVEN, an open-source software for interactive LC-MS data processing.
  • Implementing automated detection and reporting of peak intensities for isotope-labeled metabolites.
  • Employing menu-driven, click-based navigation for data visualization and analysis.

Main Results:

  • Step-by-step instructions cover data import, peak alignment, and identification of differentially abundant metabolites.
  • The guide details quantitation and visualization of isotope-labeling patterns.
  • Efficient export of metabolite-specific peak intensity tables is facilitated.

Conclusions:

  • MAVEN offers a robust platform for interactive processing of LC-MS metabolomics data.
  • The provided workflow enables efficient conversion of raw LC-MS data for biological interpretation.
  • MAVEN supports accurate metabolite quantitation, including isotope-labeled compounds, and data visualization.