Research
- Research Topics
- Cell Biology and Tumor Biology
- Stem Cells and Cancer
- Inflammatory Stress in Stem Cells
- Experimental Hematology
- Molecular Embryology
- Signal Transduction and Growth Control
- Epigenetics
- Redox Regulation
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- Cell Morphogenesis and Signal Transduction
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- Cancer Genome Research
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- Functional Genome Analysis
- Theoretical Systems Biology
- Neuroblastoma Genomics
- Signaling and Functional Genomics
- Signal Transduction in Cancer and Metabolism
- RNA-Protein Complexes and Cell Proliferation
- Systems Biology of Signal Transduction
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- Advancement of clinical proteomics for systems medicine
- Bridging from the single cell to the cell population – Epo-induced cellular responses and erythroleukemia
- Deciphering tumor microenvironment interactions determining lung cancer development
- Mechanisms controlling the compensation of liver injury and towards model-based biomarkers for early detection of liver cancer
- Application of dynamic pathway modelling for personalized medicine
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- Molecular thoracic Oncology
- Proteomics of Stem Cells and Cancer
- Computational Genomics and System Genetics
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- Metabolic crosstalk in cancer
- Pediatric Glioma Research
- Cancer Epigenomics
- Translational Pediatric Sarcoma Research
- Artificial Intelligence in Oncology
- Mechanisms of Genomic Variation and Data Science
- Neuropathology
- Pediatric Oncology
- Neurooncology
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- Translational Control and Metabolism
- Soft-Tissue Sarcoma
- Precision Sarcoma Research
- Brain Mosaicism and Tumorigenesis
- Mechanisms of Genome Control
- Translational Gastrointestinal Oncology and Preclinical Models
- Translational Lymphoma Research
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- Genome Instability in Tumors
- Developmental Origins of Pediatric Cancer
- Brain Tumor Translational Targets
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- Systems Immunology and Single Cell Biology
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- Microrobots and Miniaturize Devices for Minimally-invasive Surgery
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Division of Regulatory Genomics and Cancer Evolution
Prof. Dr. Duncan Odom
Dr Odom’s laboratory studies how genetic sequence information shapes the cell's DNA regulatory landscape and thus the trajectory of cancer genome evolution. We are mainly an experimental genomics laboratory with long-standing collaborative alliances with other - particularly computational - research groups. The breadth of our three major scientific themes provides substantial latitude to tailor particular projects to the scientific interest of incoming students and postdocs.
First, we are testing how genetic sequence variation shapes genome regulation and gene expression in phenotypically normal somatic tissues. One strategy is to profile and compare regulatory architectures and function among closely- and distantly-related mammals. Our laboratory is known for its early pioneering application of interspecies comparisons to reveal the extensive and rapid turn-over of tissue-specific transcription factor binding, CTCF/insulator elements, polymerase occupancies, and enhancer activities. We are actively developing novel approaches to integrate recently developed single-cell transcriptional, spatial, and epigenomic datasets [funded by an ERC Advanced Grant].
Second, we are establishing the earliest mechanisms of cancer genome formation. We are use chemical carcinogenesis to create and analyse liver tumours in multiple different mammalian species. This approach is the first artificially created and carefully controlled tumour cohorts that can be reliably and quantitatively compared, in order to reveal the underlying principles of cancer genome evolution. Our work has recently discovered that chemical carcinogen-driven tumours can carry megabase scale mutational asymmetries, and we are exploiting this to test how mutations are first established in the cancer genome.
Third, we are exploring how ageing interacts with genetic diversity in shaping genome stability. We exploit closely related mouse species with a similar organismal phenotype, but with highly divergent genomes. We have used this strategy to begin exploring how tissue function changes in the bone marrow and the female reproductive tract. Recent published studies from the Odom lab have used single-cell transcriptional analysis to demonstrate how ageing can result in substantial increases in cell-to-cell transcriptional variability in the immune system.