Insights into 4D Genome from Leveraging Hi-C Technology with Elastic Network Models

Explore insights into the 4D genome by leveraging Hi-C technology with Elastic Network Models in this 24-minute conference talk by Ivet Bahar at the Erwin Schrödinger International Institute for Mathematics and Physics (ESI). Delve into the characterization of chromatin spatiotemporal properties and their importance in understanding gene co-expression, transcriptional regulation, and epigenetic modifications. Learn about the Gaussian Network Model (GNM) as a tool for modeling chromatin structural dynamics using Hi-C data. Discover how to explore collective dynamics of chromosomal structures at various hierarchical levels, from single gene loci to entire chromosomes. Gain knowledge on identifying long-range interactions between gene loci and their role in regulating gene expression. Examine the conservation of global chromatin movements across different cell types and the variations in localized couplings that contribute to cell differentiation. Understand the relationship between cell-type dependent mobility profiles of gene loci and their expression patterns, highlighting the significance of chromosomal 4D features in defining cellular identity.