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: Biomedicine and Pharmacology Developmental and Regenerative Biology Genomics, Proteomics and Bioinformatics Metabolism and Physiology Molecular and Cellular Biology Neuroscience Computational Structural Biology
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(genomics, transcriptomics, proteomics) to uncover structure–function relationships • Integrate experimental data to optimize material properties • Disseminating your project results to the public via peer
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proteomics, spatial metabolomics, 3D organotypic cultures of human tissue, spatiotemporal characterization of the immune system, and stable-isotype tracing in patients. Bioinformatic support and access to all
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ovarian cancer. The laboratory has about 18 members that study ovarian cancer biology. We use a variety of cutting-edge methods, including spatial proteomics, spatial metabolomics, 3D organotypic cultures
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genome integrity. Through genetic, biochemical, and proteomic approaches, as well as collaboration with structural biologists, computational biologists and mouse geneticists, we aim to achieve better
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including immunohistochemistry, second harmonic generation microscopy, and multi-omic analyses (e.g., single-cell RNA sequencing, spatial transcriptomics, proteomics). Analyze, interpret, and integrate large
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into experimental designs. Plan, execute, and oversee experiments across multiple modalities (e.g. proteomics, biochemistry, biophysics, metabolomics, imaging). Design efficient experimental workflows for generating
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conducting molecular-microbiological methods for the identification and characterization of bacteria, as well as genomic and proteomic analyses, within the framework of the probiotic and postbiotic concept
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proteomics and genetic and transcriptional analysis of tumor tissue and normal DNA. The aim of the project is to explain response and tolerability to treatment and identify novel immunotherapeutic targets
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validation to target identification/confirmation and novel therapeutic development Design and implement translational research strategies, utilizing multi-omics approaches (genomics, proteomics, metabolomics