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

Amino Acid Biosynthetic Pathways01:29

Amino Acid Biosynthetic Pathways

Amino acid biosynthesis is essential for cell growth, protein synthesis, and metabolic regulation. Cells generate essential and non-essential amino acids from metabolic intermediates to sustain vital biological functions. These intermediates originate from key metabolic pathways: glycolysis, the tricarboxylic acid (TCA) cycle, and the pentose phosphate pathway. Important precursors include α-ketoglutarate, pyruvate, oxaloacetate, phosphoenolpyruvate, and erythrose-4-phosphate, which provide...
Introduction to Metabolism01:30

Introduction to Metabolism

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...
Other Glycolytic Pathways01:24

Other Glycolytic Pathways

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...
Protein Networks02:26

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...

You might also read

Related Articles

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

Sort by
Same author

Prognostic value of objective nutritional indices (PNI, CONUT, and HALP) for in-hospital all-cause mortality in surgically treated infective endocarditis: a 14-year retrospective study in a Chinese cohort.

Frontiers in nutrition·2026
Same author

Three-Dimensional Reconstruction of Cephalopod Beaks: A 3D Modeling Workflow Combining Prism-Assisted Photogrammetry and Micro-CT Validation.

Ecology and evolution·2026
Same author

Osteocyte Perilacunar/canalicular Remodeling (PLR) Drives Spatially Heterogeneous Lacunar Remodeling During and After Lactation.

bioRxiv : the preprint server for biology·2026
Same author

Microglial PICALM: A novel genetic driver and therapeutic target in vascular dementia.

Archives of gerontology and geriatrics·2026
Same author

Imaging and Assessment Methods of Phenotyping Osteocyte Networks.

Cytoskeleton (Hoboken, N.J.)·2026
Same author

Cellulose-Based Composite Hydrogels for Heavy Metal Ion Removal: Recent Advances and Engineering Perspectives.

Gels (Basel, Switzerland)·2026

Related Experiment Video

Updated: May 29, 2026

A Web Tool for Generating High Quality Machine-readable Biological Pathways
08:01

A Web Tool for Generating High Quality Machine-readable Biological Pathways

Published on: February 8, 2017

Bioinformatic approaches to metabolic pathways analysis.

Stuart Maudsley1, Wayne Chadwick, Liyun Wang

  • 1Receptor Pharmacology Unit, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA. maudsleyst@mail.nih.gov

Methods in Molecular Biology (Clifton, N.J.)
|August 27, 2011
PubMed
Summary

Advancements in mass data collection have improved understanding of cell signaling networks. New informatics approaches are needed to interpret complex signaling data and link it to biological outcomes.

More Related Videos

CorrelationCalculator and Filigree: Tools for Data-Driven Network Analysis of Metabolomics Data
07:11

CorrelationCalculator and Filigree: Tools for Data-Driven Network Analysis of Metabolomics Data

Published on: November 10, 2023

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information
05:01

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information

Published on: July 1, 2020

Related Experiment Videos

Last Updated: May 29, 2026

A Web Tool for Generating High Quality Machine-readable Biological Pathways
08:01

A Web Tool for Generating High Quality Machine-readable Biological Pathways

Published on: February 8, 2017

CorrelationCalculator and Filigree: Tools for Data-Driven Network Analysis of Metabolomics Data
07:11

CorrelationCalculator and Filigree: Tools for Data-Driven Network Analysis of Metabolomics Data

Published on: November 10, 2023

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information
05:01

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information

Published on: July 1, 2020

Area of Science:

  • Cellular and Molecular Biology
  • Bioinformatics
  • Systems Biology

Background:

  • Mass data collection techniques have advanced, enhancing cell signaling network comprehension.
  • Interpreting large, complex datasets from these techniques presents significant challenges.
  • Diverse scientific fields converge on analyzing signal transduction from mass datasets.

Purpose of the Study:

  • To provide an overview of the new field of cell signaling informatics.
  • To highlight methodologies and technologies for analyzing signal transduction.
  • To aid navigation in interpreting complex cell signaling data.

Main Methods:

  • Review of current mass data collection techniques in cell signaling.
  • Exploration of emerging informatics approaches for data interpretation.
  • Discussion of technologies for modeling signal transduction pathways.

Main Results:

  • Increased comprehension of cell signaling networks through mass data.
  • Identification of challenges in analyzing and interpreting large datasets.
  • Emergence of a new informatics branch linking signaling to biological actions.

Conclusions:

  • Interpreting complex cell signaling data requires novel informatics solutions.
  • Modeling signal transduction from receptors to physiological actions is a key advance.
  • This field offers exciting new avenues for understanding biological systems.