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Related Concept Videos

Epigenetic Regulation01:37

Epigenetic Regulation

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Epigenetic changes alter the physical structure of the DNA without changing the genetic sequence and often regulate whether genes are turned on or off. This regulation ensures that each cell produces only proteins necessary for its function. For example, proteins that promote bone growth are not produced in muscle cells. Epigenetic mechanisms play an essential role in healthy development. Conversely, precisely regulated epigenetic mechanisms are disrupted in diseases like cancer.
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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.
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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...
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Reprogramming alters the gene expression in somatic cells, transforming them into induced pluripotent stem (iPS) cells over several generations. Scientists can reprogram cells by introducing genes for four transcription factors—Oct4, Sox2, Klf4, and c-Myc (OSKM) by viral or non-viral methods. These factors are also known as Yamanaka factors after Shinya Yamanaka, who first generated iPS cells using mouse skin cells. Yamanaka was awarded the Nobel Prize in Physiology or Medicine in 2012...
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DNA Distortion and Damage
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Updated: Jun 2, 2025

Studying Age-dependent Genomic Instability using the S. cerevisiae Chronological Lifespan Model
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Somatic mutation as an explanation for epigenetic aging.

Zane Koch1, Adam Li1, Daniel S Evans2,3

  • 1Program in Bioinformatics and Systems Biology, University of California, San Diego, La Jolla, CA, USA.

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|January 13, 2025
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Summary
This summary is machine-generated.

Somatic mutations and DNA methylation changes correlate with biological aging. This study shows mutation accumulation can predict age similarly to epigenetic clocks, revealing a link between mutations and methylome remodeling.

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Area of Science:

  • Genomics
  • Epigenetics
  • Aging Research

Background:

  • Epigenetic clocks, based on DNA methylation, predict biological age.
  • Cytosine methylation can lead to C-to-T mutations, suggesting a link between methylation changes and somatic mutation accumulation.

Purpose of the Study:

  • To investigate the hypothesis that age-related DNA methylation changes reflect somatic mutation accrual.
  • To determine if mutation accumulation can yield aging estimates analogous to epigenetic clocks.
  • To explore the relationship between mutation hotspots and age-predictive methylation patterns.

Main Methods:

  • Analysis of multimodal data from 9,331 human individuals.
  • Examining the coincidence of CpG mutations with methylation changes.
  • Developing mutation-based age prediction models.
  • Comparing mutation-based age predictions with established epigenetic clocks.

Main Results:

  • CpG mutations were found to coincide with methylation changes, impacting methylation patterns up to ±10 kilobases from the mutation site.
  • Mutation-based age predictions showed agreement with epigenetic clock estimates.
  • Individuals aging faster or slower than expected could be identified using mutation data.
  • Genomic loci with age-accumulating mutations exhibited methylation patterns highly predictive of age.

Conclusions:

  • A close coupling exists between the accumulation of sporadic somatic mutations and widespread age-related methylation changes.
  • Somatic mutations provide a novel basis for aging estimation, complementing epigenetic clocks.
  • Understanding this link offers insights into the molecular mechanisms of aging.