Ursula Klingmüller

This paper introduces ProtInt, a deep learning framework for integrating proteomic data from cancer cell lines and tumors, showing improved performance over existing methods.

msBayesImpute improves missing value handling in proteomics data by integrating Bayesian factorization and probabilistic dropout models, outperforming existing methods in imputation and normalization.

This study identifies ECM1 as a gatekeeper that transiently suppresses HGF activity during liver regeneration, enabling tissue repair through c-MET-ERK-MYC signaling.

This study shows that loss of the Y chromosome in lung adenocarcinoma causes epigenetic and transcriptomic changes that increase lineage plasticity and poor clinical outcomes.

Pyjacker detects enhancer hijacking in AML, identifying MNX1 activation via 7q deletion as a novel oncogenic mechanism.

This study identifies TMPRSS6 cleavage of KCNE1 as a mechanism causing arrhythmias in iron overload disease using human iPSC-derived cardiomyocytes and computational models.

This study compares four lysis buffers for proteomics, finding SDS most reliable and advocating a dual-sample approach to maximize proteome coverage.

The paper identifies elevated basal MET phosphorylation as a marker of hepatocyte dysregulation in liver disease, correlating with patient outcomes after surgery.

This study identifies microsteatosis and mild inflammation as key features of liver tolerance to repeated toxic injuries, using a mouse model and multi-omics analysis.

The paper models single-cell variability in JAK2/STAT5 signaling and cytoplasmic volume to explain how erythroid progenitor cells transition from binary survival/apoptosis decisions to graded population responses upon Epo stimulation.

This study identifies IL1β as an amplifier of IFN-induced antiviral responses through mathematical modeling and experimental validation.