Our goal is to better understand the cellular heterogeneity and molecular mechanisms of childhood cancers. To this end, we develop and use computer-assisted methods to analyze multicellular and spatial single-cell information. This enables us to identify patterns and gain valuable insights into disease mechanisms. You will also find us at the KiTZ.
In recent years, we have developed powerful analysis platforms for single-cell studies and are continuously working on new methods for DNA methylation analysis and classification. Through close collaboration with experimental partners, we use single-cell multi-omics approaches to investigate key questions in cancer biology, such as therapy resistance. Our focus is increasingly on single-cell genomics and epigenomics, cell-cell interactions and alternative splicing, including the analysis of immune cells.
Another focus is DNA methylation analysis for more precise cancer diagnosis. Our overall goal is to gain a deep understanding of disease mechanisms in order to identify new therapeutic targets, improve molecular diagnostics and develop innovative treatment strategies for children with cancer - based on state-of-the-art single cell and spatial omics technologies and computational biology.
