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

Cancer-Critical Genes II: Tumor Suppressor Genes01:05

Cancer-Critical Genes II: Tumor Suppressor Genes

10.0K
Genes usually encode proteins necessary for the proper functioning of a healthy cell. Mutations can often cause changes to the gene expression pattern, thereby altering the phenotype.
When the function of certain critical genes, especially those involved in cell cycle regulation and cell growth signaling cascades, gets disrupted, it upsets the cell cycle progression. Such cells with unchecked cell cycles start proliferating uncontrollably and eventually develop into tumors.
Such genes that act...
10.0K
Cancer-Critical Genes II: Tumor Suppressor Genes01:05

Cancer-Critical Genes II: Tumor Suppressor Genes

2.9K
2.9K
Cancer-Critical Genes I: Proto-oncogenes01:33

Cancer-Critical Genes I: Proto-oncogenes

11.8K
Genes usually encode proteins necessary for the proper functioning of a healthy cell. Mutations can often cause changes to the gene expression pattern, thereby altering the phenotype.
When the function of certain critical genes, especially those involved in cell cycle regulation and cell growth signaling cascades, gets disrupted, it upsets the cell cycle progression. Such cells with unchecked cell cycles start proliferating uncontrollably and eventually develop into tumors.
Such genes that act...
11.8K
Loss of Tumor Suppressor Gene Functions01:12

Loss of Tumor Suppressor Gene Functions

6.2K
Tumor suppressor genes are normal genes that can slow down cell division, repair DNA mistakes, or program the cells for apoptosis in case of irreparable damage. Hence, they play an essential role in preventing the proliferation of damaged cells.
When the tumor suppressor genes develop mutations or are lost, cells start growing out of control, leading to cancer. However, a single functional copy of the tumor suppressor gene is enough for the cells to maintain their normal functions and cell...
6.2K
Adaptive Mechanisms in Cancer Cells02:53

Adaptive Mechanisms in Cancer Cells

7.3K
Cancer cells accumulate genetic changes at an abnormally rapid rate due to the defects in the DNA repair mechanisms. From an evolutionary perspective, such genetic instability is advantageous for cancer development. Mutant cell lines accumulate a series of beneficial mutations that contribute to their progression into cancer.
Some of the advantages that cancer cells have on normal cells include - enhanced ability to divide without terminally differentiating, induce new blood vessel formation,...
7.3K
Adaptive Mechanisms in Cancer Cells02:53

Adaptive Mechanisms in Cancer Cells

4.2K
4.2K

You might also read

Related Articles

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

Sort by
Same author

Presenting features and outcomes to standard systemic therapies in patients with MTAP-deleted advanced non-small cell lung cancer.

Clinical cancer research : an official journal of the American Association for Cancer Research·2026
Same author

Recurrent patterns of TOP1-mediated neuronal genomic damage shared by major neurodegenerative disorders.

Cell·2026
Same author

Polyelectrolyte nanoparticles enable intracellular delivery of STING protein fragments for ovarian cancer immunotherapy.

Materials today. Bio·2026
Same author

Gemcitabine and nab-paclitaxel with or without the VDR agonist paricalcitol for metastatic pancreatic cancer: a randomized, multiarm, run-in phase trial.

Nature cancer·2026
Same author

Clinical Outcomes and Patterns of Neurological Toxicity After Stereotactic Body Radiotherapy Reirradiation (reSBRT) of Spine Metastases Previously Treated with SBRT.

Cancers·2026
Same author

PTPN2 inhibition unleashes response to STING agonism in head and neck squamous cell cancer.

Nature communications·2026

Related Experiment Video

Updated: Mar 22, 2026

An Integrated Platform for Genome-wide Mapping of Chromatin States Using High-throughput ChIP-sequencing in Tumor Tissues
10:41

An Integrated Platform for Genome-wide Mapping of Chromatin States Using High-throughput ChIP-sequencing in Tumor Tissues

Published on: April 5, 2018

10.9K

Characterizing genomic alterations in cancer by complementary functional associations.

Jong Wook Kim1,2, Olga B Botvinnik1,3,4,5, Omar Abudayyeh1,2,6

  • 1Eli and Edythe Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.

Nature Biotechnology
|April 19, 2016
PubMed
Summary

Researchers developed REVEALER, a computational tool to find combinations of genomic alterations linked to cancer phenotypes. This method aids in understanding cancer drivers and identifying potential therapeutic targets.

More Related Videos

Testing Targeted Therapies in Cancer using Structural DNA Alteration Analysis and Patient-Derived Xenografts
10:27

Testing Targeted Therapies in Cancer using Structural DNA Alteration Analysis and Patient-Derived Xenografts

Published on: July 25, 2020

8.1K
Cancer-Associated Fibroblasts from Mouse Mammary Tumors as Tools for Molecular and Computational Studies
09:01

Cancer-Associated Fibroblasts from Mouse Mammary Tumors as Tools for Molecular and Computational Studies

Published on: July 3, 2025

1.1K

Related Experiment Videos

Last Updated: Mar 22, 2026

An Integrated Platform for Genome-wide Mapping of Chromatin States Using High-throughput ChIP-sequencing in Tumor Tissues
10:41

An Integrated Platform for Genome-wide Mapping of Chromatin States Using High-throughput ChIP-sequencing in Tumor Tissues

Published on: April 5, 2018

10.9K
Testing Targeted Therapies in Cancer using Structural DNA Alteration Analysis and Patient-Derived Xenografts
10:27

Testing Targeted Therapies in Cancer using Structural DNA Alteration Analysis and Patient-Derived Xenografts

Published on: July 25, 2020

8.1K
Cancer-Associated Fibroblasts from Mouse Mammary Tumors as Tools for Molecular and Computational Studies
09:01

Cancer-Associated Fibroblasts from Mouse Mammary Tumors as Tools for Molecular and Computational Studies

Published on: July 3, 2025

1.1K

Area of Science:

  • Genomics
  • Computational Biology
  • Cancer Research

Background:

  • Cancer genomes exhibit numerous mutations and copy number alterations.
  • Understanding the functional impact and interactions of these genomic variants is crucial but challenging.

Purpose of the Study:

  • To develop a computational method, REVEALER, for identifying combinations of mutually exclusive genomic alterations.
  • To correlate these genomic alterations with functional cancer phenotypes, including pathway activation, gene dependency, and drug sensitivity.

Main Methods:

  • REVEALER was developed as a computational approach.
  • The method integrates functional profiles with comprehensive genomic alteration data from cancer genomes.

Main Results:

  • REVEALER identified complementary genomic alterations associated with specific cancer phenotypes.
  • Key findings include associations with β-catenin and NRF2 transcriptional activation, MEK-inhibitor sensitivity, and KRAS dependency.
  • The tool successfully uncovered both previously known and novel associations.

Conclusions:

  • REVEALER effectively links genomic alterations to functional cancer phenotypes.
  • This approach enhances the understanding of cancer drivers and dependencies.
  • The method demonstrates the value of integrating functional data with genomic characterization for cancer research.