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

mTOR Signaling and Cancer Progression03:03

mTOR Signaling and Cancer Progression

4.8K
The mammalian target of rapamycin or mTOR protein was discovered in 1994 due to its direct interaction with rapamycin. The protein gets its name from a yeast homolog called TOR. The mTOR protein complex in mammalian cells plays a major role in balancing anabolic processes such as the synthesis of proteins, lipids, and nucleotides and catabolic processes, such as autophagy in response to environmental cues, such as availability of nutrients and growth factors.
The mTOR pathway or the...
4.8K
Mutations01:39

Mutations

94.6K
Overview
94.6K
Mutations01:35

Mutations

44.6K
Mutations are changes in the sequence of DNA. These changes can occur spontaneously or they can be induced by exposure to environmental factors. Mutations can be characterized in a number of different ways: whether and how they alter the amino acid sequence of the protein, whether they occur over a small or large area of DNA, and whether they occur in somatic cells or germline cells.
Chromosomal Alterations Are Large-Scale Mutations
While point mutations are changes in a single nucleotide in...
44.6K
Cancers Originate from Somatic Mutations in a Single Cell02:21

Cancers Originate from Somatic Mutations in a Single Cell

14.9K
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...
14.9K
Viral Mutations00:36

Viral Mutations

39.9K
A mutation is a change in the sequence of bases of DNA or RNA in a genome. Some mutations occur during replication of the genome due to errors made by the polymerase enzymes that replicate DNA or RNA. Unlike DNA polymerase, RNA polymerase is prone to errors because it is not capable of “proofreading” its work. Viruses with RNA-based genomes, like HIV, therefore accrue mutations faster than viruses with DNA-based genomes. Because mutation and recombination provide the raw material...
39.9K
Mutation, Gene Flow, and Genetic Drift01:09

Mutation, Gene Flow, and Genetic Drift

64.5K
In a population that is not at Hardy-Weinberg equilibrium, the frequency of alleles changes over time. Therefore, any deviations from the five conditions of Hardy-Weinberg equilibrium can alter the genetic variation of a given population. Conditions that change the genetic variability of a population include mutations, natural selection, non-random mating, gene flow, and genetic drift (small population size).
64.5K

You might also read

Related Articles

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

Sort by
Same author

Change in choroid thickness and vascularity index associated with accommodation and aberration after small-incision lenticule extraction.

International journal of ophthalmology·2025
Same author

Enhancing breast cancer diagnosis using deep learning and gradient multi-verse optimizer: a robust biomedical data analysis approach.

PeerJ. Computer science·2025
Same author

Soil and vegetation characteristics during the formation of typical <i>Ligularia virgaurea</i> degraded grassland.

Ying yong sheng tai xue bao = The journal of applied ecology·2023
Same author

Maternal di-(2-ethylhexyl) phthalate exposure elicits offspring IFN-λ upregulation: Insights from birth cohort, murine model, and in vitro mechanistic analysis.

Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association·2023
Same author

New polyketides from the basidiomycetous fungus <i>Pholiota</i> sp.

Journal of Asian natural products research·2022
Same author

Effect of sheep grazing on seed circulation on the Loess Plateau.

Ecology and evolution·2021

Related Experiment Video

Updated: Feb 8, 2026

Discovery of Driver Genes in Colorectal HT29-derived Cancer Stem-Like Tumorspheres
06:52

Discovery of Driver Genes in Colorectal HT29-derived Cancer Stem-Like Tumorspheres

Published on: July 22, 2020

7.0K

An Integrated Framework for Identifying Mutated Driver Pathway and Cancer Progression.

Wei Zhang, Shu-Lin Wang

    IEEE/ACM Transactions on Computational Biology and Bioinformatics
    |July 11, 2018
    PubMed
    Summary

    This study introduces an integrated framework (iMDPCP) to identify mutated driver pathways and cancer progression using next-generation sequencing (NGS) data. The method accurately identifies key cancer pathways and progression patterns, outperforming existing approaches.

    More Related Videos

    Bioluminescent Orthotopic Model of Pancreatic Cancer Progression
    09:25

    Bioluminescent Orthotopic Model of Pancreatic Cancer Progression

    Published on: June 28, 2013

    27.6K
    Identifying Mutations by High Resolution Melting in a TILLING Population of Rice
    06:10

    Identifying Mutations by High Resolution Melting in a TILLING Population of Rice

    Published on: September 2, 2019

    7.8K

    Related Experiment Videos

    Last Updated: Feb 8, 2026

    Discovery of Driver Genes in Colorectal HT29-derived Cancer Stem-Like Tumorspheres
    06:52

    Discovery of Driver Genes in Colorectal HT29-derived Cancer Stem-Like Tumorspheres

    Published on: July 22, 2020

    7.0K
    Bioluminescent Orthotopic Model of Pancreatic Cancer Progression
    09:25

    Bioluminescent Orthotopic Model of Pancreatic Cancer Progression

    Published on: June 28, 2013

    27.6K
    Identifying Mutations by High Resolution Melting in a TILLING Population of Rice
    06:10

    Identifying Mutations by High Resolution Melting in a TILLING Population of Rice

    Published on: September 2, 2019

    7.8K

    Area of Science:

    • Genomics
    • Computational Biology
    • Bioinformatics

    Background:

    • Next-generation sequencing (NGS) generates vast somatic mutation data, posing challenges for identifying driver pathways and cancer progression due to interpatient heterogeneity.
    • Pathway-level analysis is more effective for understanding cancer progression than gene-level analysis.

    Purpose of the Study:

    • To introduce an integrated framework, iMDPCP, for identifying mutated driver pathways and modeling cancer progression at the pathway level from somatic mutation data.
    • To improve the accuracy and insights gained from analyzing complex cancer genomic data.

    Main Methods:

    • Utilized uncertainty coefficient to quantify mutual exclusivity in gene driver pathways.
    • Developed a computational framework employing adaptive discrete differential evolution for mutated driver pathway identification.
    • Constructed a cancer progression model for driver pathways using Bayesian Networks.

    Main Results:

    • The iMDPCP framework demonstrated higher accuracy compared to state-of-the-art methods in identifying driver pathways, validated by KEGG pathway enrichment.
    • The study provided novel insights into pathway-level cancer progression modeling.
    • Experimental evaluation on real cancer somatic mutation datasets confirmed the framework's performance.

    Conclusions:

    • The iMDPCP framework offers a robust and accurate approach for identifying mutated driver pathways and understanding cancer progression from NGS data.
    • This pathway-level analysis provides a more comprehensive view of cancer development and heterogeneity.
    • The findings contribute to advancing cancer genomics research and potential therapeutic strategies.