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Related Concept Videos

Cancers Originate from Somatic Mutations in a Single Cell02:21

Cancers Originate from Somatic Mutations in a Single Cell

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...
Cancers Originate from Somatic Mutations in a Single Cell02:21

Cancers Originate from Somatic Mutations in a Single Cell

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...
Viral Mutations00:36

Viral Mutations

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 for adaptive...
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...
Mismatch Repair01:36

Mismatch Repair

Overview
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).

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Related Experiment Video

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Characterizing Mutational Load and Clonal Composition of Human Blood
07:58

Characterizing Mutational Load and Clonal Composition of Human Blood

Published on: July 11, 2019

The evolution of two mutations during clonal expansion.

Hiroshi Haeno1, Yoh Iwasa, Franziska Michor

  • 1Department of Biology, Kyushu University, Fukuoka, Japan.

Genetics
|December 13, 2007
PubMed
Summary
This summary is machine-generated.

Knudson's two-hit hypothesis explains retinoblastoma by requiring two genetic mutations. This study models how cell populations acquire these mutations during growth, impacting cancer development and treatment resistance.

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Area of Science:

  • Genetics
  • Cancer Biology
  • Evolutionary Biology

Background:

  • Knudson's two-hit hypothesis posits two RB1 gene mutations drive retinoblastoma.
  • Inherited retinoblastoma requires one mutation at birth; sporadic cases accumulate two mutations.
  • Two-mutation events are crucial in cancer progression, drug resistance, and metastasis.

Purpose of the Study:

  • To model the probability of acquiring two critical mutations in an exponentially growing cell population.
  • To analyze the dynamics of clonal expansion and mutation accumulation.
  • To provide a theoretical framework for understanding multi-step carcinogenesis and treatment evasion.

Main Methods:

  • Mathematical modeling of cell populations with varying mutation statuses.
  • Calculation of mutation acquisition probabilities based on mutation rates and cell kinetics.
  • Development of a formula for the expected number of double-mutant cells at a given population size.

Main Results:

  • The probability of evolving two mutations depends on mutation rates, cell growth/death rates, and final population size.
  • A formula was derived to predict the number of cells with both mutations at population's end.
  • The study quantifies the dynamics of two-mutation evolution during clonal expansion.

Conclusions:

  • The theoretical model provides insights into the kinetics of acquiring two rate-limiting mutations.
  • This framework is applicable to retinoblastoma, cancer evolution, and drug resistance.
  • Understanding these dynamics is key to predicting disease progression and therapeutic outcomes.