The three-dimensional (3D) organization of chromosomes is being increasingly appreciated as a critical determinant of gene regulation and genome stability, and dysregulation of chromosome organization is a hallmark of many diseases, most prominently of cancer. Spatial genome architecture in healthy cells and its changes through the cell cycle, development and differentiation remain enigmatic. Recent progress if genomic technologies, particularly development of the Chromosome Conformation Capture methods such as 5C and Hi-C, allowed probing the spatial organization of chromosomes by comprehensive mapping of long-range chromatin interactions. Further progress, however, remains slow in part due to a gap between Hi-C data and 3D models of chromosome organization that can reveal principles of genome folding. Bridging between Hi-C data and polymer models of chromosomes is a major challenge and an objective of our research program. Recently we have developed methods for analysis of Hi-C data, and have successfully developed dynamic polymer models of human mitotic chromosomes and bacterial interphase chromosome, which revealed multiple levels of organization and structural elements not directly visible in the data. Here we propose to make natural next steps by developing multi-scale models of human interphase chromosome in different cell types, and mechanistic models of mitotic condensation that are based on available and emerging genome-wide interaction Hi-C maps. Combined this work has the potential to greatly deepen our understanding of 3D genome organization and reorganization in different cell types and during cell cycle.

Public Health Relevance

The three-dimensional (3D) organization of the human genome is being increasingly appreciated as a critical determinant of gene regulation and genome stability, and defects in 3D genome organization are associated with human diseases such as cancer. This proposal aims to develop new 3D models of chromosomes organization during interphase and model the process of genome folding into during cell division.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
5R01GM114190-02
Application #
9066732
Study Section
Genomics, Computational Biology and Technology Study Section (GCAT)
Program Officer
Preusch, Peter
Project Start
2015-06-01
Project End
2020-05-31
Budget Start
2016-06-01
Budget End
2017-05-31
Support Year
2
Fiscal Year
2016
Total Cost
Indirect Cost
Name
Massachusetts Institute of Technology
Department
Engineering (All Types)
Type
Biomed Engr/Col Engr/Engr Sta
DUNS #
001425594
City
Cambridge
State
MA
Country
United States
Zip Code
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