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

Introduction to Metabolism01:30

Introduction to Metabolism

3.1K
Metabolism encompasses all biochemical reactions in a living organism, facilitating both the breakdown and synthesis of biomolecules. These metabolic processes are categorized into catabolic and anabolic pathways, which operate in a coordinated manner to ensure energy balance and cellular function.Catabolic Pathways and Energy ReleaseCatabolic pathways involve the breakdown of complex macromolecules such as carbohydrates, lipids, and proteins into smaller structures like monosaccharides, fatty...
3.1K
Regulation of Metabolism01:19

Regulation of Metabolism

9.0K
Cellular needs and conditions vary from cell to cell and change within individual cells over time. For example, the required enzymes and energetic demands of stomach cells are different from those of fat storage cells, skin cells, blood cells, and nerve cells. Furthermore, a digestive cell works much harder to process and break down nutrients during the time that closely follows a meal compared with many hours after a meal. As these cellular demands and conditions vary, so do the amounts and...
9.0K
Operon Model01:23

Operon Model

2.4K
The operon model represents a fundamental mechanism of gene regulation in prokaryotes, enabling coordinated expression of genes involved in related metabolic or functional pathways. Operons consist of structural genes, a promoter, and an operator, with transcription regulated by repressors, activators, and small effector molecules.Structure and Function of OperonsAn operon is a cluster of structural genes transcribed together under the control of a single promoter. The promoter region...
2.4K
Other Glycolytic Pathways01:24

Other Glycolytic Pathways

1.1K
The pentose phosphate pathway (PPP) operates in parallel with glycolysis, facilitating the metabolism of both pentoses and glucose. This pathway consists of two distinct phases: the oxidative and non-oxidative phases. While it does not directly generate ATP, the intermediates formed during the process can integrate into glycolysis, contributing to cellular energy metabolism when required.Oxidative Phase: NADPH ProductionThe oxidative phase of the pentose phosphate pathway is primarily...
1.1K
Metabolism of Chemolithotrophs01:15

Metabolism of Chemolithotrophs

1.3K
Chemolithotrophs are microorganisms that obtain energy by oxidizing inorganic molecules such as hydrogen gas (H₂), ammonia (NH₃), reduced sulfur compounds (H₂S, S²⁻), and ferrous iron (Fe²⁺). Unlike heterotrophic organisms that rely on organic carbon, chemolithotrophs transfer electrons from these inorganic donors to the electron transport chain (ETC), generating a proton motive force (PMF) that drives ATP synthesis through oxidative phosphorylation.
1.3K
Overview of Metabolism01:40

Overview of Metabolism

25.6K
Living cells constantly carry out various chemical reactions which are necessary for their proper functioning. These reactions are interlinked to one another via multiple pathways. The collection of these chemical reactions is known as metabolism.
Plant Metabolism
Sunlight, the primary source of energy in plants, is first absorbed by the chlorophyll pigments present in their leaves. Plants then use this energy to carry out photosynthesis, where water is oxidized into oxygen and carbon dioxide...
25.6K

You might also read

Related Articles

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

Sort by
Same author

The three-dimensional landscape of tumor-associated macrophages in reactive and neoplastic human lymph nodes.

PLOS digital health·2026
Same author

The transaminase-ω-amidase pathway senses oxidative stress to control glutamine metabolism and α-ketoglutarate levels in endothelial cells.

The EMBO journal·2025
Same author

Blade-Coated All-Polymer Organic Solar Cells with 15% Efficiency Using Eco-Friendly Solvent Systems.

ACS applied materials & interfaces·2025
Same author

The 76th Mosbacher Colloquium: AI-driven (r)evolution in structural biology and protein design.

Biological chemistry·2025
Same author

Computational analysis of IL-6/IL-22 signaling in liver disease.

Bio Systems·2025
Same author

Correction: Assessing lung cancer progression and survival with infrared spectroscopy of blood serum.

BMC medicine·2025
Same journal

Lactate Metabolism Dysregulation Drives the Pathogenesis of Acute Kidney Injury.

Metabolites·2026
Same journal

Librarian: An Open-Access Web Application for High-Resolution Mass Spectral Library Assembly.

Metabolites·2026
Same journal

Purine Metabolism Alterations in Patients with Chronic Heart Failure: A Cross-Sectional Study of Associations with Iron Status, Oxidative Stress, and Anemia.

Metabolites·2026
Same journal

The Gut Microbiome in Heart Failure: Pathways to Inflammation and Therapeutic Targets.

Metabolites·2026
Same journal

Metabolic Mechanisms of Hexavalent Chromium-Induced Splenic Immune Injury via Oxidative Stress and Ferroptosis Pathways in New Zealand Rabbits.

Metabolites·2026
Same journal

Improving Speed and Efficiency of DESI Imaging with the Xevo MRT Mass Spectrometer for Analyte Mapping.

Metabolites·2026
See all related articles

Related Experiment Video

Updated: Apr 27, 2026

High-Throughput Metabolic Profiling for Model Refinements of Microalgae
11:07

High-Throughput Metabolic Profiling for Model Refinements of Microalgae

Published on: December 4, 2021

3.6K

On functional module detection in metabolic networks.

Ina Koch1, Jörg Ackermann2

  • 1Molecular Bioinformatics group, Cluster of Excellence "Macromolecular Complexes", Johann Wolfgang Goethe-University Frankfurt (Main), Institute of Computer Science, Robert-Mayer-Strasse 11-15, Frankfurt (Main) 60325, Germany. ina.koch@bioinformatik.uni-frankfurt.de.

Metabolites
|June 25, 2014
PubMed
Summary
This summary is machine-generated.

This study explores computational methods for identifying functional modules in metabolic networks. It compares steady-state approaches like elementary flux modes with non-steady-state Q-modularity, using potato metabolism as an example.

More Related Videos

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis
07:11

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis

Published on: November 10, 2023

3.1K
Author Spotlight: An Optimized Automated Method for Investigating Retinoic Acid Receptors in Neuronal Mitochondria
08:33

Author Spotlight: An Optimized Automated Method for Investigating Retinoic Acid Receptors in Neuronal Mitochondria

Published on: July 28, 2023

1.1K

Related Experiment Videos

Last Updated: Apr 27, 2026

High-Throughput Metabolic Profiling for Model Refinements of Microalgae
11:07

High-Throughput Metabolic Profiling for Model Refinements of Microalgae

Published on: December 4, 2021

3.6K
Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis
07:11

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis

Published on: November 10, 2023

3.1K
Author Spotlight: An Optimized Automated Method for Investigating Retinoic Acid Receptors in Neuronal Mitochondria
08:33

Author Spotlight: An Optimized Automated Method for Investigating Retinoic Acid Receptors in Neuronal Mitochondria

Published on: July 28, 2023

1.1K

Area of Science:

  • Metabolic network analysis
  • Systems biology
  • Computational biology

Background:

  • Functional modules are key to understanding organism metabolism.
  • Computer-aided identification of these modules is crucial for large-scale models.
  • Existing methods often rely on steady-state assumptions.

Purpose of the Study:

  • To present known steady-state module detection concepts from a graph-theoretical perspective.
  • To introduce Q-modularity as a non-steady-state method for metabolic networks.
  • To illustrate these concepts using potato tuber central carbon metabolism.

Main Methods:

  • Review of steady-state methods: elementary flux modes (transition invariants).
  • Detailed presentation of the Fourier-Motzkin algorithm for computation.
  • Introduction and application of Q-modularity for non-steady-state analysis.

Main Results:

  • Steady-state concepts (transition invariants) are presented via graph theory.
  • The Fourier-Motzkin algorithm is detailed for computing elementary modes.
  • Q-modularity is introduced as a viable non-steady-state approach.

Conclusions:

  • Graph-theoretical approaches offer insights into metabolic network decomposition.
  • Both steady-state and non-steady-state methods are valuable for module identification.
  • Q-modularity provides a useful alternative for analyzing dynamic metabolic processes.