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

MS-MINT: An Open-Source Data Analysis Software for Large-Scale Metabolomics Studies.

Analytical chemistry·2026
Same author

Sequestration of the phagocyte metabolite itaconate by Pseudomonas aeruginosa RpoN promotes successful pulmonary infection.

Nature communications·2025
Same author

Regulation of airway fumarate by host and pathogen promotes <i>S. aureus</i> pneumonia.

bioRxiv : the preprint server for biology·2025
Same author

Regulation of airway fumarate by host and pathogen promotes Staphylococcus aureus pneumonia.

Nature communications·2025
Same author

Metabolomics strategy for diagnosing urinary tract infections.

Nature communications·2025
Same author

Metabolomics survey of uropathogenic bacteria in human urine.

Frontiers in microbiology·2025

Related Experiment Video

Updated: May 21, 2025

Liquid Chromatography Coupled to Refractive Index or Mass Spectrometric Detection for Metabolite Profiling in Lysate-based Cell-free Systems
14:42

Liquid Chromatography Coupled to Refractive Index or Mass Spectrometric Detection for Metabolite Profiling in Lysate-based Cell-free Systems

Published on: September 23, 2021

4.7K

LC-MS System for Collecting Time-Resolved Metabolomics Data of Cultured Cells.

Carly C Y Chan1, Ryan A Groves1, Raied Aburashed1

  • 1Alberta Centre for Advanced Diagnostics, Department of Biological Sciences, University of Calgary, Calgary, AB T2N 1N4, Canada.

Analytical Chemistry
|May 8, 2025
PubMed
Summary

We created an automated system for time-resolved metabolomics, capturing dynamic cellular changes in bacteria like Escherichia coli. This method reveals metabolic phenotypes missed by traditional single-point measurements.

More Related Videos

A Method for Measuring Metabolism in Sorted Subpopulations of Complex Cell Communities Using Stable Isotope Tracing
07:41

A Method for Measuring Metabolism in Sorted Subpopulations of Complex Cell Communities Using Stable Isotope Tracing

Published on: February 4, 2017

8.2K
Extraction of Aqueous Metabolites from Cultured Adherent Cells for Metabolomic Analysis by Capillary Electrophoresis-Mass Spectrometry
11:39

Extraction of Aqueous Metabolites from Cultured Adherent Cells for Metabolomic Analysis by Capillary Electrophoresis-Mass Spectrometry

Published on: June 9, 2019

8.3K

Related Experiment Videos

Last Updated: May 21, 2025

Liquid Chromatography Coupled to Refractive Index or Mass Spectrometric Detection for Metabolite Profiling in Lysate-based Cell-free Systems
14:42

Liquid Chromatography Coupled to Refractive Index or Mass Spectrometric Detection for Metabolite Profiling in Lysate-based Cell-free Systems

Published on: September 23, 2021

4.7K
A Method for Measuring Metabolism in Sorted Subpopulations of Complex Cell Communities Using Stable Isotope Tracing
07:41

A Method for Measuring Metabolism in Sorted Subpopulations of Complex Cell Communities Using Stable Isotope Tracing

Published on: February 4, 2017

8.2K
Extraction of Aqueous Metabolites from Cultured Adherent Cells for Metabolomic Analysis by Capillary Electrophoresis-Mass Spectrometry
11:39

Extraction of Aqueous Metabolites from Cultured Adherent Cells for Metabolomic Analysis by Capillary Electrophoresis-Mass Spectrometry

Published on: June 9, 2019

8.3K

Area of Science:

  • Biochemistry
  • Microbiology
  • Analytical Chemistry

Background:

  • Understanding temporal metabolic dynamics is crucial for biological insights.
  • Traditional metabolomics methods often fail to capture rapid cellular changes.
  • Dynamic metabolic processes are key to cellular function and response.

Purpose of the Study:

  • To develop an automated system for high-resolution, time-resolved metabolomics.
  • To enable the capture of transient metabolic phenotypes in microbial systems.
  • To overcome limitations of single time-point analyses in metabolic studies.

Main Methods:

  • Development of an automated liquid chromatography-mass spectrometry (LC-MS) system.
  • Implementation of sub-minute sequential sampling for time-resolved data collection.
  • Parallel monitoring of up to 72 experimental conditions for high-throughput analysis.

Main Results:

  • The automated LC-MS system successfully collected time-resolved metabolomics data from cultured cells.
  • Broad metabolite coverage and robust metabolite identification were achieved.
  • Temporal metabolic phenotypes of Escherichia coli and Proteus mirabilis were identified, which were previously unobservable.

Conclusions:

  • Automated, time-resolved metabolomics provides unprecedented insights into dynamic biological processes.
  • The developed system enables the discovery of transient metabolic states in microorganisms.
  • This technology advances the study of cellular metabolism and microbial physiology.