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

Mutations01:39

Mutations

94.5K
Overview
94.5K
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
Nervous Tissue: Neuron Types01:19

Nervous Tissue: Neuron Types

6.3K
Neurons, the fundamental units of the nervous system, can be classified based on both their structural and functional characteristics.
Structurally, neurons are categorized into three main types: multipolar, bipolar, and unipolar (or pseudounipolar). Multipolar neurons, which are the most common type in the brain and spinal cord, as well as all motor neurons, possess multiple dendrites and a single axon.
Bipolar neurons, on the other hand, have one primary dendrite and one axon. They are...
6.3K
Connective Tissue Cell Types01:22

Connective Tissue Cell Types

4.2K
Connective tissue develops from the mesoderm of a developing embryo and consists of cells, fibers, and ground substance: a gel-like material containing large complexes of carbohydrates and proteins. Connective tissue was first identified as a separate tissue family in the 18th century, and Johannes Peter Muller coined the term connective tissue.
Fat cells (adipocytes), smooth muscle cells (myoblasts), and bone cells (osteoblasts) are some connective tissue cell types. Some immune system cells...
4.2K

You might also read

Related Articles

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

Sort by
Same author

Allele frequency patterns of 78,122,254 SNPs illuminate diverse possible evolutionary trajectories of human populations.

Scientific reports·2026
Same author

Probability Distribution for Rare Neutral Mutations in Cancers and Application to Dynamic Precision Medicine of Cancer.

bioRxiv : the preprint server for biology·2025
Same author

A Proof-of-Concept Clinical Trial Design for Evolutionary Guided Precision Medicine for Cancer.

medRxiv : the preprint server for health sciences·2025
Same author

Personalized cancer treatment strategies incorporating irreversible and reversible drug resistance mechanisms.

NPJ systems biology and applications·2025
Same author

Generalized Evolutionary Classifier for Evolutionary Guided Precision Medicine.

JCO precision oncology·2025
Same author

Altered assembly paths mitigate interference among paralogous complexes.

Nature communications·2024

Related Experiment Video

Updated: Feb 7, 2026

Cell-Specific Paired Interrogation of the Mouse Ovarian Epigenome and Transcriptome
12:25

Cell-Specific Paired Interrogation of the Mouse Ovarian Epigenome and Transcriptome

Published on: February 24, 2023

1.3K

Explaining cancer type specific mutations with transcriptomic and epigenomic features in normal tissues.

Khong-Loon Tiong1, Chen-Hsiang Yeang2

  • 1Institute of Statistical Science, Academia Sinica, Taipei, Taiwan.

Scientific Reports
|August 1, 2018
PubMed
Summary
This summary is machine-generated.

Normal tissue gene expression and epigenetics influence cancer mutation patterns. Understanding these features in healthy cells helps explain why specific genes mutate in particular cancer types, revealing insights into tumor evolution.

More Related Videos

TChIP-Seq: Cell-Type-Specific Epigenome Profiling
07:28

TChIP-Seq: Cell-Type-Specific Epigenome Profiling

Published on: January 23, 2019

8.4K
A Combined 3D Tissue Engineered In Vitro/In Silico Lung Tumor Model for Predicting Drug Effectiveness in Specific Mutational Backgrounds
13:34

A Combined 3D Tissue Engineered In Vitro/In Silico Lung Tumor Model for Predicting Drug Effectiveness in Specific Mutational Backgrounds

Published on: April 6, 2016

10.6K

Related Experiment Videos

Last Updated: Feb 7, 2026

Cell-Specific Paired Interrogation of the Mouse Ovarian Epigenome and Transcriptome
12:25

Cell-Specific Paired Interrogation of the Mouse Ovarian Epigenome and Transcriptome

Published on: February 24, 2023

1.3K
TChIP-Seq: Cell-Type-Specific Epigenome Profiling
07:28

TChIP-Seq: Cell-Type-Specific Epigenome Profiling

Published on: January 23, 2019

8.4K
A Combined 3D Tissue Engineered In Vitro/In Silico Lung Tumor Model for Predicting Drug Effectiveness in Specific Mutational Backgrounds
13:34

A Combined 3D Tissue Engineered In Vitro/In Silico Lung Tumor Model for Predicting Drug Effectiveness in Specific Mutational Backgrounds

Published on: April 6, 2016

10.6K

Area of Science:

  • Genomics
  • Cancer Biology
  • Epigenetics

Background:

  • Cancer driver genes often regulate fundamental cellular processes.
  • Mutations in these genes are frequently restricted to specific cancer types, a paradox.
  • The role of normal tissue characteristics in shaping cancer mutation landscapes is not fully understood.

Purpose of the Study:

  • To investigate the relationship between normal tissue transcriptomic/epigenomic features and cancer gene mutation frequencies.
  • To identify factors in normal tissues that explain the tissue-specific mutation patterns of cancer genes.

Main Methods:

  • Analysis of mRNA expression and chromatin accessibility in normal tissues from cancer-free individuals.
  • Integration of gene pathway and protein-protein interaction network data.
  • Development of a novel bivariate gene set enrichment analysis.

Main Results:

  • Chromatin accessibility in normal tissue is a necessary but not sufficient factor for frequent gene mutations in tumors.
  • Variations in gene mutation frequencies across tumor types correlate significantly with normal tissue mRNA expression and chromatin accessibility.
  • Pathway gene expression in normal tissue emerged as a dominant factor in enriching for known cancer genes.

Conclusions:

  • Transcriptomic and epigenomic features of normal tissues are closely linked to tumor mutation characteristics.
  • Normal tissue gene expression plays a critical role in shaping the cancer genome's mutational landscape.
  • These findings provide insights into the functional roles of genes in normal tissues during tumor evolution.