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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.
X-chromosome...
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Epigenetic mechanisms play an essential role in healthy development. Conversely, precisely regulated epigenetic mechanisms are disrupted in diseases like cancer.
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Inheritance of Chromatin Structures03:17

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Epigenetics is the study of inherited changes in a cell's phenotype without changing the DNA sequences. It provides a form of memory for the differential gene expression pattern to maintain cell lineage, position-effect variegation, dosage compensation, and maintenance of chromatin structures such as telomeres and centromeres. For example, the structure and location of the centromere on chromosomes are epigenetically inherited. Its functionality is not dictated or ensured by the underlying...
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Updated: Nov 7, 2025

Immunostaining for DNA Modifications: Computational Analysis of Confocal Images
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Disentangling age-dependent DNA methylation: deterministic, stochastic, and nonlinear.

O Vershinina1, M G Bacalini2, A Zaikin3,4,5

  • 1Department of Applied Mathematics, Mathematics of Future Technologies Center, Laboratory of Systems Medicine of Healthy Aging, Lobachevsky University, Nizhny Novgorod, Russia, 603950. olya.vershinina@itmm.unn.ru.

Scientific Reports
|April 29, 2021
PubMed
Summary
This summary is machine-generated.

DNA methylation variability is largely deterministic, driven by genetic and environmental factors, not just noise. Most age-related methylation changes follow nonlinear patterns, challenging previous assumptions and enabling new epigenetic clock development.

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Area of Science:

  • Epigenetics
  • Genomics
  • Computational Biology

Background:

  • DNA methylation variability is influenced by both genetic and environmental factors.
  • The precise contribution of deterministic versus stochastic sources to this variability remains unclear.
  • Understanding age-dependent methylation patterns is crucial for aging research.

Purpose of the Study:

  • To systematically assess age-dependent DNA methylation variability.
  • To differentiate between deterministic and stochastic sources of methylation changes.
  • To investigate the mathematical relationships governing methylation levels and variability with age.

Main Methods:

  • Signal-to-noise ratio analysis to quantify methylation variability.
  • Assessment of age-dependent methylation patterns across CpG probes.
  • Mathematical modeling of methylation level and variability relationships.

Main Results:

  • Approximately 90% of CpG probes exhibit "deterministic" methylation variability, linked to genetic and general environmental factors.
  • The remaining 10% of CpG probes show "stochastic" variability, potentially due to biological noise.
  • In 90% of age-associated differentially methylated positions, variability scales with the square of methylation level.
  • Over 15% of methylation levels show nonlinear (power-law) variation with age, contradicting linear models.
  • Individual age-dependent methylation trajectories are nonlinear and diverge, explaining cross-sectional variability.

Conclusions:

  • DNA methylation exhibits strong, largely deterministic regulation with significant age-dependent, nonlinear trajectories.
  • The identified nonlinear patterns provide a basis for developing novel nonlinear epigenetic clocks.
  • Findings challenge the assumption of linear methylation changes with age and highlight the complexity of epigenetic regulation.