Research Approaches and Infrastructure

We combine advanced molecular profiling with human-relevant experimental models and quantitative data analysis to investigate biological responses across molecular, cellular and tissue scales.

Advanced proteomics and molecular profiling

We use high-throughput DIA mass spectrometry to characterise complex biological systems, including tissues, plasma and advanced cell models. Our expertise includes quantitative proteomics, post-translational modifications, phosphorylation and redox-related modifications, secretome and extracellular-matrix analysis, as well as method development, optimisation and analytical benchmarking.

Human-relevant 3D tissue and disease models

We develop and apply long-term spheroid and organoid systems, including iPSC-derived hepatocyte and multicellular liver models. These experimental systems are used to investigate tissue adaptation, fibrosis, metabolic and inflammatory stress, extracellular-matrix remodelling and responses to therapeutic intervention. Dynamic bioreactor culture enables long-term experiments and longitudinal analysis of tissue-state transitions.

Quantitative imaging and tissue phenotyping

We combine microscopy and quantitative imaging with molecular measurements to characterise morphology, tissue architecture and heterogeneity in 3D models. Current developments include automated image analysis, organoid classification and integration of structural, functional and molecular phenotypes.

Data integration and computational interpretation

We analyse and integrate large-scale proteomics datasets with complementary molecular, imaging and functional data. Our approach emphasises biologically driven interpretation, pathway- and systems-level analysis, comparison across tissues and experimental conditions, reproducible analytical workflows, and the development of AI-assisted approaches for biological annotation and data interpretation.

Stress, Adaptation and Tissue Disease is part of the Protein Research Group at the Department of Biochemistry and Molecular Biology, SDU. Our work is supported by shared departmental, university and national research infrastructure for mass spectrometry, imaging, computation and data analysis.