Bioinformatics Team

We are applying computational solutions to contribute to the understanding of inflammatory pathomechanisms and a personalized medical approach, bridging the gap between data, bench and bedside in the rheumatology field.

Our research focuses on providing a better insight on the molecular basis of autoimmune rheumatic diseases using computational approaches. We are working closely with wet-lab scientists and clinicians to generate tailored analysis for experimental data and answer complex biological questions in rheumatology. Use of bioinformatic algorithms for integration of high-throughput and experimental data allows us to perform interdisciplinary research to understand drivers of inflammation and develop a more personalized treatment approach. Several projects are currently ongoing which address the specific role of cell-cell interactions and environmental factors on the transcriptome and epigenome of pathogenic cell types. A major focus lies on epigenetic regulation of cell stability under steady state and autoimmune conditions. Other areas of interests are liquid biopsies and cell-free nucleic acids for biomarker development.

We are continuously looking for highly motivated individuals to join our team.

Latest Research

Kugler, M. et al. (2023) ‘Cytokine-directed cellular cross-talk imprints synovial pathotypes in rheumatoid arthritis’, Annals of the Rheumatic Diseases

Suto, T. et al. (2022) ‘TNFR2 is critical for TNF-induced rheumatoid arthritis fibroblast-like synoviocyte inflammation’, Rheumatology

Tosevska, A. et al. (2022) ‘Cell-Free RNA as a Novel Biomarker for Response to Therapy in Head & Neck Cancer’, Frontiers in Oncology

Team members

As of October 2024.