Genome instability and somatic mosaicism
Ashley Sanders
We sequence cells to understand how genetic mutations form and change cell states in health and disease.
We sequence cells to understand how genetic mutations form and change cell states in health and disease.
The Gütig lab uses analytical and numerical modeling techniques to identify the computational principles underlying spike based information processing and learning in central nervous systems and to understand how these principles are implemented by biological processes. Specifically, the lab focuses on the role of action potential timing in sensory…
Our motivation is to address fundamental biological questions of human immunology and translate them into innovative therapies. In this respect, the core interest of our laboratory lies in the discovery of new applications of antibodies and B cells to treat and prevent challenging human diseases.
The Medical Omics lab aims to improve healthcare and basic research by providing artificial intelligence-driven tools for the analysis of large biomedical datasets. For comprehensive insights in disease entities, we aim to include multiple layers of data, such as single-cell RNA sequencing, methylomics data and medical imaging. In close…
Rapid advances in molecular biology technologies are leading to a data explosion in biomedical research and clinical diagnostics. The goal of our department is to develop new and targeted ways to analyze and evaluate these data sets in order to implement innovations that benefit patients. For instance, it is desirable to make information from…
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The Sawitzki lab investigates the molecular mechanisms of immune cell activation and tolerance induction, in order to better understand why components of the immune response themselves become a trigger of destructive inflammatory reactions, like e.g. in the context of autoimmune diseases, rejection reactions after organ transplantation or COVID19…
Common metabolic disorders such as obesity, insulin resistance and type 2 diabetes have both environmental and genetic causes. We now know that many sections of the genome influence the risk of weight gain or adverse fat distribution, in addition to the important roles played by lack of physical activity and excessive intake of high-calorie foods.…
Not only the DNA sequence – our genome – but also the 3D structure of our genome – the 'epi-genome' – is essential in determining the type and function of a cell. That's why the analysis of the epigenome facilitates deep insights into the developmental history of a cell and its current gene expression profile, but also allows deductions on its…