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

Toxic Reactions: Overview01:26

Toxic Reactions: Overview

1.0K
When toxic substances penetrate the human body, they disseminate to various tissues, undergoing metabolic changes. This process yields reactive metabolites that may covalently bind with specific target molecules, resulting in toxicity.
Toxicity falls into two primary categories: local and systemic.
Local toxicity appears at the exposure site, such as protein denaturation caused by caustic substances.
In contrast, systemic toxicity requires the toxic agent's absorption and distribution,...
1.0K
Types of Toxins01:36

Types of Toxins

1.8K
Humans continually engage with an environment rich in potentially harmful chemicals. These are introduced to our bodies through inhalation, ingestion, or skin contact. These chemicals exist in various forms, such as air and environmental pollutants, agricultural chemicals, organic solvents, and heavy metals.
Air pollutants, primarily gases, pose significant threats to respiratory health, leading to conditions like hypoxia, lung cancer, and in extreme cases, death.
Environmental pollutants like...
1.8K
Protein Networks02:26

Protein Networks

4.0K
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,...
4.0K
Chemical Signaling in the Endocrine System01:08

Chemical Signaling in the Endocrine System

3.3K
A signaling cascade is a series of events that facilitates the transmission of information within or between cells, culminating in a targeted response in the recipient cell. As chemical messengers, hormones are pivotal in initiating and modulating these intricate signaling cascades based on their solubility.
Lipid-soluble hormones, such as steroid hormones, demonstrate an intracellular action. These hormones traverse cell membranes due to their lipid nature. Once inside the target cell, they...
3.3K
Interactions Between Signaling Pathways01:19

Interactions Between Signaling Pathways

6.3K
Signaling cascades usually lack linearity. Multiple pathways interact and regulate one another, allowing cells to integrate and respond to diverse environmental stimuli.
Convergence and divergence, and cross-talk between signaling pathways
Two distinct signaling pathways can converge on a single functional unit, which may either be a single protein or a complex of proteins. The response is either functionally distinct or synergistic between the two pathways but different from the response...
6.3K
Mutagenicity and Carcinogenicity01:25

Mutagenicity and Carcinogenicity

1.3K
Mutagenicity and carcinogenicity refer to the ability of drugs to cause genetic defects and induce cancer, respectively. The International Agency for Research on Cancer (IARC) classifies agents into four groups based on their carcinogenic potential. Group 1 agents are known human carcinogens; group 2A agents are probably carcinogenic to humans; group 3 agents lack data to support their role in carcinogenesis; and group 4 includes agents for which data support that they are not likely to be...
1.3K

You might also read

Related Articles

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

Sort by
Same author

Provenance Tracing in Network Diffusion Algorithms.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing·2026
Same author

Cracking the code of multi-layer films to promote circularity in single-use plastic packaging.

Nature communications·2026
Same author

Dynamic Immune Cell Composition, Phenotypes, and Signaling in an Engineered Metastatic Niche.

Biotechnology and bioengineering·2026
Same author

SynVerse: a modular framework for building and evaluating deep learning-based drug synergy prediction models.

Briefings in bioinformatics·2025
Same author

NEFFy: a versatile tool for computing the number of effective sequences.

Bioinformatics (Oxford, England)·2025
Same author

Early metastasis is characterized by Gr1+ cell dysregulation and is inhibited by immunomodulatory nanoparticles.

Molecular oncology·2025

Related Experiment Video

Updated: Jul 22, 2025

A High-throughput Assay for the Prediction of Chemical Toxicity by Automated Phenotypic Profiling of Caenorhabditis elegans
09:01

A High-throughput Assay for the Prediction of Chemical Toxicity by Automated Phenotypic Profiling of Caenorhabditis elegans

Published on: March 14, 2019

7.3K

Computational Construction of Toxicant Signaling Networks.

Jeffrey N Law1, Sophia M Orbach2, Bronson R Weston1

  • 1Interdisciplinary Ph.D. Program in Genetics, Bioinformatics, and Computational Biology, Blacksburg, Virginia 24061, United States.

Chemical Research in Toxicology
|July 20, 2023
PubMed
Summary

This study reconstructs chemical toxicity pathways by integrating high-throughput screening data with protein interaction networks. The developed EdgeLinker algorithm identifies key signaling proteins affected by toxicants, aiding in predicting adverse health effects.

More Related Videos

In Silico Modeling Method for Computational Aquatic Toxicology of Endocrine Disruptors: A Software-Based Approach Using QSAR Toolbox
00:05

In Silico Modeling Method for Computational Aquatic Toxicology of Endocrine Disruptors: A Software-Based Approach Using QSAR Toolbox

Published on: August 28, 2019

14.0K
High Throughput SiRNA Screening for Chloropicrin and Hydrogen Fluoride-Induced Cornea Epithelial Cell Injury
14:20

High Throughput SiRNA Screening for Chloropicrin and Hydrogen Fluoride-Induced Cornea Epithelial Cell Injury

Published on: June 16, 2018

5.9K

Related Experiment Videos

Last Updated: Jul 22, 2025

A High-throughput Assay for the Prediction of Chemical Toxicity by Automated Phenotypic Profiling of Caenorhabditis elegans
09:01

A High-throughput Assay for the Prediction of Chemical Toxicity by Automated Phenotypic Profiling of Caenorhabditis elegans

Published on: March 14, 2019

7.3K
In Silico Modeling Method for Computational Aquatic Toxicology of Endocrine Disruptors: A Software-Based Approach Using QSAR Toolbox
00:05

In Silico Modeling Method for Computational Aquatic Toxicology of Endocrine Disruptors: A Software-Based Approach Using QSAR Toolbox

Published on: August 28, 2019

14.0K
High Throughput SiRNA Screening for Chloropicrin and Hydrogen Fluoride-Induced Cornea Epithelial Cell Injury
14:20

High Throughput SiRNA Screening for Chloropicrin and Hydrogen Fluoride-Induced Cornea Epithelial Cell Injury

Published on: June 16, 2018

5.9K

Area of Science:

  • Toxicology
  • Computational Biology
  • Bioinformatics

Background:

  • Chemicals pose health risks to humans and animals.
  • The Toxicity Forecaster (ToxCast) program screens chemicals using high-throughput assays.
  • Many assays focus on cellular receptors and transcription factors (TFs) to infer toxicant effects on signaling pathways.

Purpose of the Study:

  • To reconstruct intermediate proteins in toxicant-affected cellular pathways.
  • To identify physiological processes impacted by chemical exposure.
  • To build predictive models of chemical toxicity.

Main Methods:

  • Integration of ToxCast data with a human protein interactome.
  • Development of the EdgeLinker algorithm to find shortest paths connecting receptors to TFs.
  • Construction of toxicant signaling networks based on protein interactions.

Main Results:

  • The EdgeLinker algorithm efficiently identified signaling pathways affected by toxicants.
  • The constructed signaling networks provide insights into biologically relevant toxicant effects.
  • Interactive visualizations of these networks are available for broader access.

Conclusions:

  • Reconstructed signaling networks enhance understanding of chemical toxicity mechanisms.
  • This approach aids in predicting potential adverse health outcomes from chemical exposure.
  • The methodology offers a valuable tool for toxicological research and risk assessment.