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

You might also read

Related Articles

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

Sort by
Same author

Engineering Correlated Dirac Fermions and Flat Bands on SiC with Transition-Metal Adatom Lattices.

Physical review letters·2026
Same author

Integrated multi-matrix bile acid metabolic metrics (BAMMs): A methodological framework for functional metabolic phenotyping in human subjects.

Analytica chimica acta·2026
Same author

Sex-specific differences and diagnostic tool performance in the neuropsychiatric profile of Parkinson's disease.

BMC neurology·2026
Same author

Blood Focused-Metabolomics and Transcriptomics Uncover Non-Linear Risk Association of Inadequate Dietary Choline Intake-Linked Metabolic Stress with MASLD Through Amino Acid Biomarkers, <i>BCAA</i> and <i>MTORC 1</i>/<i>AKT1</i>/<i>IRS1</i> Mechanistic Mediators: A Nested Case-Control Study.

International journal of molecular sciences·2026
Same author

Plasma acetic acid mediates the relationship between gut microbiome and various health measures in older adults.

Communications medicine·2026
Same author

Elevated trimethylamine levels characterize impaired muscle mass response to leucine-enriched protein supplementation in older adults at risk of sarcopenia.

npj aging·2026

Related Experiment Video

Updated: Jun 17, 2025

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

A Strategy for Sensitive, Large Scale Quantitative Metabolomics

Published on: May 27, 2014

20.9K

MRMQuant: Automated MRM Data Quantitation for Large-Scale Targeted Metabolomics Analysis.

Ke-Shiuan Lynn1, Hsiang-Yu Tang2, Chi-Jen Lo2

  • 1Department of Mathematics, Fu Jen Catholic University, New Taipei City 24205, Taiwan.

Analytical Chemistry
|August 11, 2024
PubMed
Summary
This summary is machine-generated.

MRMQuant is a new automated tool for accurate metabolite quantification from multiple reaction monitoring (MRM) data. It simplifies data analysis in targeted metabolomics with user-friendly features for high-throughput studies.

More Related Videos

An Integrated Workflow of Identification and Quantification on FDR Control-Based Untargeted Metabolome
05:35

An Integrated Workflow of Identification and Quantification on FDR Control-Based Untargeted Metabolome

Published on: September 20, 2022

3.7K
Large Scale Non-targeted Metabolomic Profiling of Serum by Ultra Performance Liquid Chromatography-Mass Spectrometry UPLC-MS
07:34

Large Scale Non-targeted Metabolomic Profiling of Serum by Ultra Performance Liquid Chromatography-Mass Spectrometry UPLC-MS

Published on: March 14, 2013

12.7K

Related Experiment Videos

Last Updated: Jun 17, 2025

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

A Strategy for Sensitive, Large Scale Quantitative Metabolomics

Published on: May 27, 2014

20.9K
An Integrated Workflow of Identification and Quantification on FDR Control-Based Untargeted Metabolome
05:35

An Integrated Workflow of Identification and Quantification on FDR Control-Based Untargeted Metabolome

Published on: September 20, 2022

3.7K
Large Scale Non-targeted Metabolomic Profiling of Serum by Ultra Performance Liquid Chromatography-Mass Spectrometry UPLC-MS
07:34

Large Scale Non-targeted Metabolomic Profiling of Serum by Ultra Performance Liquid Chromatography-Mass Spectrometry UPLC-MS

Published on: March 14, 2013

12.7K

Area of Science:

  • Biochemistry
  • Analytical Chemistry
  • Bioinformatics

Background:

  • Targeted metabolomics relies on accurate metabolite quantification.
  • Multiple reaction monitoring (MRM) is a key technique for this quantification.
  • Existing methods can be labor-intensive and prone to errors.

Purpose of the Study:

  • To develop an automated, user-friendly tool for accurate quantification of MRM data.
  • To improve the efficiency and reliability of targeted metabolomic analyses.
  • To provide features for data inspection and correction with minimal user intervention.

Main Methods:

  • Development of an automated software tool named MRMQuant.
  • Implementation of dynamic signal smoothing and automatic deconvolution of coeluted peaks.
  • Integration of absolute quantification using standard curves and/or internal standards.
  • Inclusion of visualized inspection, correction, multi-sample corrections, and batch-effect correction.

Main Results:

  • MRMQuant provides accurate metabolite quantification from high-throughput LC-MS/MS MRM data.
  • The tool automates complex data processing steps, reducing human intervention.
  • Features for data correction and batch-effect adjustment enhance data reliability.

Conclusions:

  • MRMQuant is an effective tool for accurate and efficient targeted metabolomic quantitation.
  • The software facilitates robust data analysis in high-throughput metabolomics studies.
  • MRMQuant offers a user-friendly solution for researchers in the field.