Physics-Based Polymer Models to Probe Chromosome Structure in Single Molecules.

Area of Science:

• Genomics
• Biophysics
• Cell Biology

Background:

• Human chromosomes exhibit complex 3D organization within the cell nucleus, crucial for gene regulation.
• The molecular mechanisms driving genome folding and the formation of physical contacts are not well understood.

Purpose of the Study:

• To investigate the machinery that shapes genome folding and function using a polymer-physics-based approach.
• To validate in silico models of DNA 3D structures against experimental data.
• To apply validated models to benchmark technologies for probing genome structure.

Main Methods:

• Development of a polymer-physics-based computational model for DNA 3D structures.
• Validation of in silico predictions using super-resolution single-cell microscopy data.
• Benchmarking of genome structure probing technologies (Hi-C, SPRITE, GAM) using validated polymer conformations.

Main Results:

• In silico model predictions of DNA single-molecule 3D structures were successfully validated against microscopy data.
• Findings support a model where chromosome architecture is governed by thermodynamic phase separation.
• The validated models provide a benchmark for assessing genome structure technologies.

Conclusions:

• Chromosome architecture is shaped by thermodynamic mechanisms, particularly phase separation.
• The developed polymer-physics approach is effective for studying genome folding and function.
• This work provides a framework for evaluating and improving genome structure analysis technologies.