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Heterogeneous Loop Model to Infer 3D Chromosome Structures from Hi-C.

Lei Liu1, Min Hyeok Kim1, Changbong Hyeon1

  • 1School of Computational Sciences, Korea Institute for Advanced Study, Seoul, Republic of Korea.

Biophysical Journal
|July 25, 2019
PubMed
Summary

We developed a minimalist Heterogeneous Loop Model (HLM) to infer 3D chromatin folding from Hi-C data. This model visualizes chromosome structures, aiding interpretation of various experimental data and revealing insights into gene regulation and cell-cycle dynamics.

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Area of Science:

  • Genomics and Molecular Biology
  • Computational Biology
  • Polymer Physics

Background:

  • Understanding the three-dimensional (3D) folding of chromatin is crucial for deciphering gene regulation and cellular function.
  • Existing methods for inferring 3D chromosome structures from Hi-C data can be computationally intensive and require extensive parameterization.

Purpose of the Study:

  • To develop a computationally efficient and versatile modeling tool for inferring 3D chromatin structures from Hi-C contact maps.
  • To visualize and interpret chromosome organization, gene expression, and regulatory interactions.

Main Methods:

  • Adapted a polymer physics formalism to create a minimalist Heterogeneous Loop Model (HLM).
  • Generated 3D chromosome structures using Hi-C contact frequency data.
  • Applied HLM to analyze topologically associated domains, gene loci interactions, and cell-cycle-dependent chromatin conformation.

Main Results:

  • HLM successfully generated 3D chromosome structures that reproduce spatial distributions of topologically associated domains and show phase segregation.
  • Modeled chromatin globules of specific gene loci (α-globin, SOX2, Pax6) to explain cell-type-dependent gene expression and enhancer interactions.
  • Visualized dynamic changes in chromosome 19 conformation during the cell cycle in mouse embryonic stem cells.

Conclusions:

  • The Heterogeneous Loop Model (HLM) is an efficient and versatile tool for generating 3D chromosome structures from Hi-C data.
  • HLM-generated structures complement other experimental data, providing insights into chromatin organization, gene regulation, and dynamic cellular processes.
  • The model facilitates the interpretation of complex genomic data and aids in understanding the functional implications of chromatin folding.