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

Cancers Originate from Somatic Mutations in a Single Cell02:21

Cancers Originate from Somatic Mutations in a Single Cell

15.0K
Cancer arises from mutations in the critical genes that allow healthy cells to escape cell cycle regulation and acquire the ability to proliferate indefinitely. Though originating from a single mutation event in one of the originator cells, cancer progresses when the mutant cell lines continue to gain more and more mutations, and finally, become malignant. For example, chronic myelogenous leukemia (CML) develops initially as a non-lethal increase in white blood cells, which progressively...
15.0K
Mismatch Repair01:20

Mismatch Repair

6.7K
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...
6.7K
Combination Therapies and Personalized Medicine02:50

Combination Therapies and Personalized Medicine

6.2K
Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
6.2K
Comparing Copy Number Variations and SNPs02:26

Comparing Copy Number Variations and SNPs

18.8K
Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
18.8K
Cancer02:18

Cancer

54.8K
Cancers arise due to mutations in genes involved in the regulation of cell division, which leads to unrestricted cell proliferation. Modern science and medicine have made great strides in the understanding and treatment of cancer, including eradicating cancer in some patients. However, there is still no cure for cancer. This is largely due to the fact that cancer is a large group of many diseases.
54.8K

You might also read

Related Articles

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

Sort by
Same author

The PABS system under the pandemic agreement: Current status, controversies in negotiations, and future trends.

Biosafety and health·2026
Same author

Dauricine Mitigates Hypoxia Through Targeting ESR1, PIK3CA, and MTOR: A Network Pharmacology and Molecular Dynamics Simulation Investigation.

Current issues in molecular biology·2026
Same author

Cross-species integration of single-cell data reveals conserved pathology-associated cell populations across animal models and human samples.

Cell reports methods·2026
Same author

[Polygenic risk score-based comprehensive assessment model for breast cancer risk and its application for preimplantation embryo selection in a <i>BRCA1</i> mutation carrier].

Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences·2026
Same author

Nanoparticle-based serine replenishment rescues SP1-BNIP3 mitophagy and ameliorates preeclampsia in preclinical models.

Cell reports. Medicine·2026
Same author

Characterization of Cancer Hallmark Enhancer RNA Uncovers Novel Strategies for Precision Oncology.

Genomics, proteomics & bioinformatics·2026

Related Experiment Video

Updated: Feb 22, 2026

Comparative Lesions Analysis Through a Targeted Sequencing Approach
08:16

Comparative Lesions Analysis Through a Targeted Sequencing Approach

Published on: November 5, 2019

7.3K

Mutation-profile-based methods for understanding selection forces in cancer somatic mutations: a comparative

Zhan Zhou1,2, Yangyun Zou1, Gangbiao Liu1

  • 1Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China.

Oncotarget
|September 24, 2017
PubMed
Summary
This summary is machine-generated.

This study introduces an evolutionary method to measure gene selection pressure in cancer versus normal cells. It reveals distinct cancer-specific pressures, aiding in cancer gene classification and identifying therapeutic targets.

Keywords:
cancer somatic mutationscancer-associated genesevolutionmutation profilenatural selection

More Related Videos

Detecting Somatic Genetic Alterations in Tumor Specimens by Exon Capture and Massively Parallel Sequencing
11:02

Detecting Somatic Genetic Alterations in Tumor Specimens by Exon Capture and Massively Parallel Sequencing

Published on: October 18, 2013

20.0K
Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies
13:24

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies

Published on: April 11, 2016

12.3K

Related Experiment Videos

Last Updated: Feb 22, 2026

Comparative Lesions Analysis Through a Targeted Sequencing Approach
08:16

Comparative Lesions Analysis Through a Targeted Sequencing Approach

Published on: November 5, 2019

7.3K
Detecting Somatic Genetic Alterations in Tumor Specimens by Exon Capture and Massively Parallel Sequencing
11:02

Detecting Somatic Genetic Alterations in Tumor Specimens by Exon Capture and Massively Parallel Sequencing

Published on: October 18, 2013

20.0K
Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies
13:24

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies

Published on: April 11, 2016

12.3K

Area of Science:

  • Evolutionary biology
  • Genomics
  • Cancer research

Background:

  • Human genes have varying impacts on cancer and normal cell fitness.
  • Understanding selection pressure is crucial for cancer evolution studies.

Purpose of the Study:

  • To develop an evolutionary approach for measuring gene selection pressure in cancer.
  • To compare cancer-specific selection pressure with population-level pressure.
  • To identify cancer-specific positively and negatively selected genes.

Main Methods:

  • Utilized the nonsynonymous to synonymous substitution rate ratio (dN/dS) in cancer (C/C) and normal (p/p) genomes.
  • Developed a novel mutation-profile-based method using sample-specific mutation rates.
  • Applied a computational pipeline to identify selected genes.

Main Results:

  • Cancer-specific selection pressure differs significantly from species and population levels.
  • Increased C/C values in cancer genomes are attributed to relaxed purifying selection on passenger mutations and positive selection on driver mutations.
  • C/C values improved cancer gene classification and understanding of oncogenesis.

Conclusions:

  • The evolutionary approach provides insights into cancer gene evolution and onco-functionalization.
  • Identified cancer-specific selected genes can inform therapeutic target discovery.
  • The findings contribute to understanding cancer evolution and identifying therapeutic interventions.