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

Mutagenicity and Carcinogenicity01:25

Mutagenicity and Carcinogenicity

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...
Mouse Models of Cancer Study02:43

Mouse Models of Cancer Study

Mice have long served as models for studying human biology and pathology because of their phylogenetic and physiological similarity with humans. They are also easy to maintain and breed in the laboratory, and hence, many inbred strains are now available for research. Studies on mice have contributed immeasurably to our understanding of cancer biology.
The development of transgenic, knockout, and knock-in mice has led to an exponential increase in their use as model organisms in research,...
Mouse Models of Cancer Study02:43

Mouse Models of Cancer Study

Mice have long served as models for studying human biology and pathology because of their phylogenetic and physiological similarity with humans. They are also easy to maintain and breed in the laboratory, and hence, many inbred strains are now available for research. Studies on mice have contributed immeasurably to our understanding of cancer biology.
The development of transgenic, knockout, and knock-in mice has led to an exponential increase in their use as model organisms in research,...
Spontaneous and Induced Mutations01:30

Spontaneous and Induced Mutations

Spontaneous mutations arise infrequently during DNA replication due to errors in the process. A key factor behind these errors is tautomeric shifts in nitrogenous bases, where bases transition from keto to enol forms or amino to imino forms. This shift can alter base-pairing rules, leading to mutations. Additionally, reactive oxygen species (ROS) arising from aerobic metabolism can damage DNA, resulting in depurination (loss of a purine base) or depyrimidination (loss of a pyrimidine base).
In vitro Mutagenesis01:16

In vitro Mutagenesis

To learn more about the function of a gene, researchers can observe what happens when the gene is inactivated or “knocked out,” by creating genetically engineered knockout animals. Knockout mice have been particularly useful as models for human diseases such as cancer, Parkinson’s disease, and diabetes.
Mismatch Repair01:20

Mismatch Repair

Organisms are capable of detecting and fixing nucleotide mismatches that occur during DNA replication. This sophisticated process requires identifying the new strand and replacing the erroneous bases with correct nucleotides. Mismatch repair is coordinated by many proteins in both prokaryotes and eukaryotes.
The Mutator Protein Family Plays a Key Role in DNA Mismatch Repair
The human genome has more than 3 billion base pairs of DNA per cell. Prior to cell division, that vast amount of genetic...

You might also read

Related Articles

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

Sort by
Same author

COSMOS next generation - A public knowledge base leveraging chemical and biological data to support the regulatory assessment of chemicals.

Computational toxicology (Amsterdam, Netherlands)·2021
Same author

An automated curation procedure for addressing chemical errors and inconsistencies in public datasets used in QSAR modelling.

SAR and QSAR in environmental research·2016
Same author

Application of gastrointestinal modelling to the study of the digestion and transformation of dietary glycidyl esters.

Food additives & contaminants. Part A, Chemistry, analysis, control, exposure & risk assessment·2012
Same author

Evidence for a role of oxidative stress in the carcinogenicity of ochratoxin a.

Journal of toxicology·2011
Same author

Validation of whole chick embryo cultures, whole rat embryo cultures and aggregating embryonic brain cell cultures using six pairs of coded compounds.

Toxicology in vitro : an international journal published in association with BIBRA·2010
Same author

Anticonvulsant drug toxicity in rat brain cell aggregate cultures.

Toxicology in vitro : an international journal published in association with BIBRA·2010

Related Experiment Video

Updated: Jun 23, 2026

In Silico Modeling Method for Computational Aquatic Toxicology of Endocrine Disruptors: A Software-Based Approach Using QSAR Toolbox
05:47

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

Published on: August 28, 2019

Predictive models for carcinogenicity and mutagenicity: frameworks, state-of-the-art, and perspectives.

E Benfenati1, R Benigni, D M Demarini

  • 1Istituto di Ricerche Farmacologiche "Mario Negri", Milano, Italy. benfenati@marionegri.it

Journal of Environmental Science and Health. Part C, Environmental Carcinogenesis & Ecotoxicology Reviews
|May 5, 2009
PubMed
Summary

Developing better in silico methods and high-throughput assays is crucial for predicting chemical mutagenicity and carcinogenicity. These advancements aim to reduce reliance on costly rodent bioassays and enhance public health protection.

More Related Videos

Chemical-Induced Skin Carcinogenesis Model Using Dimethylbenz[a]Anthracene and 12-O-Tetradecanoyl Phorbol-13-Acetate (DMBA-TPA)
04:12

Chemical-Induced Skin Carcinogenesis Model Using Dimethylbenz[a]Anthracene and 12-O-Tetradecanoyl Phorbol-13-Acetate (DMBA-TPA)

Published on: December 19, 2019

The Lambda Select cII Mutation Detection System
07:08

The Lambda Select cII Mutation Detection System

Published on: April 26, 2018

Related Experiment Videos

Last Updated: Jun 23, 2026

In Silico Modeling Method for Computational Aquatic Toxicology of Endocrine Disruptors: A Software-Based Approach Using QSAR Toolbox
05:47

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

Published on: August 28, 2019

Chemical-Induced Skin Carcinogenesis Model Using Dimethylbenz[a]Anthracene and 12-O-Tetradecanoyl Phorbol-13-Acetate (DMBA-TPA)
04:12

Chemical-Induced Skin Carcinogenesis Model Using Dimethylbenz[a]Anthracene and 12-O-Tetradecanoyl Phorbol-13-Acetate (DMBA-TPA)

Published on: December 19, 2019

The Lambda Select cII Mutation Detection System
07:08

The Lambda Select cII Mutation Detection System

Published on: April 26, 2018

Area of Science:

  • Toxicology and Environmental Health
  • Computational Chemistry
  • Regulatory Science

Background:

  • Mutagenicity and carcinogenicity are key environmental and regulatory concerns, driving the need for alternative testing methods.
  • Current rodent carcinogenicity bioassays are expensive and time-consuming, necessitating more efficient screening approaches.
  • Understanding the complex cellular processes underlying these endpoints is crucial for developing accurate predictive models.

Purpose of the Study:

  • To explore the potential of in silico methods and novel in vitro assays for predicting chemical mutagenicity and carcinogenicity.
  • To identify areas for improvement in existing predictive models and data sets.
  • To support the development of high-throughput screening strategies for regulatory and industrial applications.

Main Methods:

  • Review of current in silico prediction models for mutagenicity and carcinogenicity.
  • Evaluation of existing and emerging in vitro assays (e.g., Vitotox, GreenScreenGC, RadarScreen).
  • Discussion of data-mining and high-throughput approaches, including initiatives like ToxCast and OpenTox.

Main Results:

  • In silico methods show promise for local predictions within chemical classes but require improved data quality and endpoints for global prediction.
  • In vitro assays need refinement to reduce false positives and detect non-genotoxic or epigenetic mechanisms.
  • Emerging high-throughput assays and computational tools offer potential for large-scale chemical assessment.

Conclusions:

  • Improving the predictivity of in silico models through better data and endpoints is essential.
  • Novel in vitro and in silico methods are critical for efficient chemical safety assessment.
  • These advancements will aid industry and regulators in protecting public health by improving carcinogenicity predictions.