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Understanding the physical processes behind DNA-DNA proximity ligation assays.

Bernardo Zubillaga Herrera1,2, Amit Das1,2,3, Linden Burack1,2

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|December 11, 2025
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Summary

This study uses computational modeling to explore DNA-DNA proximity ligation assays, like Hi-C, revealing how experimental variables impact 3D genome organization data quality.

Keywords:
Chromosome Conformation CaptureContact MapsDNADNA Structure and OrganizationHi-CProximity Ligation Assays

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Area of Science:

  • Genomics
  • Computational Biology
  • Biophysics

Background:

  • DNA-DNA proximity ligation assays are crucial for studying genome 3D organization.
  • Key aspects of these assays, such as Hi-C, require further understanding.

Purpose of the Study:

  • To investigate the internal mechanisms of DNA-DNA proximity ligation assays.
  • To assess the impact of experimental and data processing variables on Hi-C results.

Main Methods:

  • Numerical experiments and theoretical modeling of chromosomes at nucleosome resolution.
  • Simulating virtual Hi-C experiments, including chromatin crosslinking, DNA digestion, and ligation.
  • Analyzing ligation probabilities based on genomic and Euclidean distances using ensembles of structures.

Main Results:

  • Developed a computational framework to simulate Hi-C experiments in silico.
  • Quantified ligation probabilities as a function of genomic and spatial distances.
  • Identified key variables affecting the quality of Hi-C data.

Conclusions:

  • Computational modeling provides insights into DNA-DNA proximity ligation assay performance.
  • Understanding these variables is essential for improving 3D genome organization studies.
  • This work aids in optimizing Hi-C experimental design and data analysis.