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DNA Sequence Recognition by DNA Primase Using High-Throughput Primase Profiling
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Sequence-Dependent Persistence Length of Long DNA.

Hui-Min Chuang1, Jeffrey G Reifenberger2, Han Cao2

  • 1Department of Chemical Engineering and Materials Science, University of Minnesota-Twin Cities, 421 Washington Avenue SE, Minneapolis, Minnesota 55455, USA.

Physical Review Letters
|December 30, 2017
PubMed
Summary
This summary is machine-generated.

Human DNA persistence length, a measure of its stiffness, increases with higher GC content. This finding, derived from millions of measurements in nanochannels, offers new insights into DNA structure and behavior.

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Area of Science:

  • Genomics
  • Biophysics
  • Polymer Physics

Background:

  • DNA persistence length is a critical parameter influencing its physical behavior.
  • Understanding sequence-dependent DNA properties is essential for molecular biology.

Purpose of the Study:

  • To investigate the relationship between DNA sequence composition (GC content) and its physical properties, specifically persistence length.
  • To quantify how DNA persistence length changes with varying GC content.

Main Methods:

  • High-throughput genome mapping of approximately 50 million human DNA segments.
  • Utilizing 41 nm x 41 nm nanochannels to confine DNA segments.
  • Applying Odijk's theory for channel-confined wormlike chains to analyze DNA extension data.

Main Results:

  • A positive correlation was observed between DNA GC content and persistence length.
  • DNA persistence length increased by nearly 20% with increasing GC content.
  • A parameter-free model successfully rationalized the observed sequence-dependent persistence length.

Conclusions:

  • DNA persistence length is significantly influenced by its GC content.
  • The developed statistical terpolymer model provides a robust explanation for sequence-dependent DNA elasticity.
  • These findings enhance our understanding of DNA structural mechanics at the nanoscale.