Our current research is focused on the discovery of dysregulated or malfunctioning programs of myeloid cells in inflammatory diseases and biomarker discovery for therapeutic approaches. Our special interest and core expertise focuses on transcriptional and epigenetic programming of myeloid cells like monocytes, macrophages and dendritic cells.
Multi-omics approaches enable us to draw a clear picture of the transcriptional process in inflammatory myeloid cells, the underlying epigenetic mechanisms and resulting biological functions of myeloid cells.
In combination with additional data on patient history, cytokine expression (bead-based multiplexing techniques) and surface marker expression (flow cytometry), we are able to identify central factors, which participate in disease pathogenecity and are potential targets for therapeutic interventions.
Following the concept of Systems Biology, we use Next-Generation-Sequencing and Multiplexing-Techniques (mRNA 3'-prime sequencing, ATAC-sequencing and ChIP-sequencing) to generate disease-specific datasets which are analysed in unbiased bioinformatics approaches.
Our laboratory own PC systems with high computing power analyse each day new incoming data on epigenetic and transcriptional informations which are stored internally on a Peta-storage system of the medical faculty.
Besides our own research, we support the research of local and international collaborators by bioinformatics analysis, data mining and hypothesis generation.