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Large-scale data-driven and physics-based models offer insights into the relationships among the structures, dynamics, and functions of chromosomes
Cibo Feng1,2,3 , Jin Wang4,* , Xiakun Chu1,2,5,6,*
1Advanced Materials Thrust, Function Hub, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou 511400, China
2Green e Materials Laboratory, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou 511400, China
3College of Physics, Jilin University, Changchun 130012, China
4Department of Chemistry and Physics, The State University of New York at Stony Brook, Stony Brook, NY 11794, USA
5Division of Life Science, The Hong Kong University of Science and Technology, Hong Kong SAR 999077, China
6Guangzhou Municipal Key Laboratory of Materials Informatics, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou 511400, China
*Correspondence to:Jin Wang , Email:jin.wang.1@stonybrook.edu Xiakun Chu , Email:xiakunchu@ust.hk
J Mol Cell Biol, Volume 15, Issue 6, June 2023, mjad042,  https://doi.org/10.1093/jmcb/mjad042
Keyword: 4D genome, data-driven model, physics-based model, structure–function relationships, cell-fate decision, structural changes, chromosome dynamics

The organized three-dimensional chromosome architecture in the cell nucleus provides scaffolding for precise regulation of gene expression. When the cell changes its identity in the cell-fate decision-making process, extensive rearrangements of chromosome structures occur accompanied by large-scale adaptations of gene expression, underscoring the importance of chromosome dynamics in shaping genome function. Over the last two decades, rapid development of experimental methods has provided unprecedented data to characterize the hierarchical structures and dynamic properties of chromosomes...


Volume 15, Issue 6
June 2023