The highly dynamic nature of 3D genome architecture and gene regulation may lead to cell-to-cell variability in chromatin interactions within a cell population that impacts on its disease potential. Our project will implement novel technologies to study 3D cancer genome architecture in individual cells (single-cell Hi-C), develop bioinformatics pipelines to interpret and integrate generated data and develop a new enrichment approach to improve the efficacy of the Hi-C method. Successful establishment of single-cell Hi-C will allow us to de-code the 3D genome and epigenome events in cellular pathways that are involved in cancer cell heterogeneity from a new perspective.
Decoding 3D genome architecture in individual single-cells to establish molecular mechanisms of gene regulation in cancer.
Chief Investigators
Co-Investigator Team
UNSW BioMedical Machine Learning Lab (BML),, Graduate School of Biomedical Engineering, Level 1, Room 1002, Biological Sciences Building (E26)