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

Regulation of Metabolism01:19

Regulation of Metabolism

10.2K
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...
10.2K
Overview of Metabolism01:40

Overview of Metabolism

33.3K
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...
33.3K
Genomics02:02

Genomics

37.8K
Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
37.8K
Model Approaches for Pharmacokinetic Data: Physiological Models01:15

Model Approaches for Pharmacokinetic Data: Physiological Models

133
Physiological models in pharmacokinetics are instrumental in understanding the distribution and elimination of drugs within the body. These models describe the drug concentration within target organs, influenced by factors such as drug uptake, tissue volume, and blood flow. Drug uptake is governed by the partition coefficient, which signifies the drug concentration ratio in tissue to that in the blood. The blood flow rate to a specific tissue is expressed as Qt, and the rate of change in tissue...
133
Introduction to Metabolism01:30

Introduction to Metabolism

562
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...
562
Overview of Protein Metabolism01:21

Overview of Protein Metabolism

2.1K
Proteins are broken down into amino acids during digestion. Unlike fats and carbohydrates, which are stored for later use, proteins are not. Instead, amino acids are either used to produce ATP through oxidation or contribute to the creation of new proteins for the growth and repair of the body. Any surplus amino acids from the diet are converted into glucose or triglycerides rather than excreted.
Amino acids play various roles in the body once they are absorbed into cells. They are restructured...
2.1K

You might also read

Related Articles

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

Sort by
Same author

Ferroptosis-induced oxidative stress in therapy-resistant glioblastoma.

Cell death discovery·2026
Same author

Hyperspectral imaging and healthy aging: an observational study using hand skin as surface for monitoring healthy aging processes.

Biogerontology·2026
Same author

Thermal stress-induced metabolic reprogramming in two hard coral species.

iScience·2026
Same author

Red blood cell-derived extracellular vesicles enable cisplatin and cetuximab combined therapy against triple-negative breast cancer.

Journal of nanobiotechnology·2026
Same author

FGFR3 oncogenic activation drives oxidative metabolic reprogramming in bladder cancer: a systems metabolomics approach.

Communications biology·2026
Same author

miRNA675-5p inhibitor's dual role as novel therapeutic alternative or sensitizing treatment in resistant glioma models.

Molecular therapy. Nucleic acids·2026
Same journal

Systematic design of auxotrophic strains and media conditions to probe metabolic functions in E. coli.

PLoS computational biology·2026
Same journal

Neuronal excitability and parameter variability in the Hodgkin-Huxley model.

PLoS computational biology·2026
Same journal

Delayed reward information is underweighted in reinforcement learning with dispersed feedback.

PLoS computational biology·2026
Same journal

GHF-ACL: A novel contrastive learning framework with multi-order graph structures for herb-disease association prediction.

PLoS computational biology·2026
Same journal

GATE: Adaptive learning with working memory by information gating in multi-lamellar hippocampal formation.

PLoS computational biology·2026
Same journal

Evaluating vectors for the design of a spillover-disrupting Lassa virus transmissible vaccine.

PLoS computational biology·2026
See all related articles

Related Experiment Video

Updated: Oct 4, 2025

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

2.8K

INTEGRATE: Model-based multi-omics data integration to characterize multi-level metabolic regulation.

Marzia Di Filippo1,2, Dario Pescini1,2, Bruno Giovanni Galuzzi2,3

  • 1Department of Statistics and Quantitative Methods, University of Milan-Bicocca, Milan, Italy.

Plos Computational Biology
|February 7, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces INTEGRATE, a computational pipeline that merges metabolomics and transcriptomics data to understand metabolic regulation. It distinguishes between gene expression and metabolite control of metabolic flux, aiding personalized cancer therapies.

More Related Videos

A Multi-Omics Extraction Method for the In-Depth Analysis of Synchronized Cultures of the Green Alga Chlamydomonas reinhardtii
07:51

A Multi-Omics Extraction Method for the In-Depth Analysis of Synchronized Cultures of the Green Alga Chlamydomonas reinhardtii

Published on: August 8, 2019

7.8K
A Strategy for Sensitive, Large Scale Quantitative Metabolomics
14:18

A Strategy for Sensitive, Large Scale Quantitative Metabolomics

Published on: May 27, 2014

21.1K

Related Experiment Videos

Last Updated: Oct 4, 2025

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

2.8K
A Multi-Omics Extraction Method for the In-Depth Analysis of Synchronized Cultures of the Green Alga Chlamydomonas reinhardtii
07:51

A Multi-Omics Extraction Method for the In-Depth Analysis of Synchronized Cultures of the Green Alga Chlamydomonas reinhardtii

Published on: August 8, 2019

7.8K
A Strategy for Sensitive, Large Scale Quantitative Metabolomics
14:18

A Strategy for Sensitive, Large Scale Quantitative Metabolomics

Published on: May 27, 2014

21.1K

Area of Science:

  • Biochemistry and Systems Biology
  • Computational Biology and Bioinformatics
  • Metabolomics and Transcriptomics

Background:

  • Metabolism is regulated by enzyme expression and metabolite interactions.
  • Separate analysis of metabolomics and transcriptomics data fails to capture hierarchical metabolic regulation.
  • Integrating high-throughput data is crucial for understanding metabolic control.

Purpose of the Study:

  • To develop and validate INTEGRATE, a computational pipeline for integrating metabolomics and transcriptomics data.
  • To differentiate metabolic flux regulation at the gene expression versus metabolite interaction levels.
  • To provide a framework for dissecting metabolic regulatory mechanisms.

Main Methods:

  • Utilized constraint-based stoichiometric metabolic models as a scaffold.
  • Computed differential reaction expression from transcriptomics data.
  • Integrated metabolomics data to assess substrate availability's impact on metabolic flux.

Main Results:

  • The INTEGRATE pipeline successfully integrates metabolomics and transcriptomics data.
  • It discriminates between metabolic fluxes regulated by gene expression and/or metabolite interactions.
  • Demonstrated pipeline utility in distinguishing regulatory mechanisms in breast cell lines.

Conclusions:

  • Integrated analysis of metabolomics and transcriptomics data is essential for understanding metabolic regulation.
  • The INTEGRATE pipeline offers a robust method for dissecting metabolic control layers.
  • Identifying regulatory levels of metabolic reactions can inform personalized cancer therapies.