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pipeline in close collaboration with partner labs, providing a powerful framework to link genotype, phenotype, and microenvironmental context. By integrating functional and molecular analyses, this work aims
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data integration, cancer systems biology, and single-cell analysis, with strong links to clinical and translational oncology. Our work is based in the dynamic research environment of Heidelberg
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on the same samples Integrate multi-omics data (e.g., using MOFA) to investigate how patient-specific tRNA modification patterns correlate with treatment response and survival Functionally validate candidate
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lines; generation of samples for proteomics analysis Data integration and analysis, including transcriptomic, proteomic and library screen data Target validation by CRISPR-Cas9 knockouts in primary AMLs