Bertram Klinger

The paper uses Perturb-seq to identify TCF7 as a key integrator of MAPK and Wnt signaling pathways through a feedback loop with EGR1.

The paper introduces SPIED-DIA, a phosphoproteomics method, to identify synergistic signaling responses in colon cancer cells to MEK inhibition and growth factor stimulation.

This study identifies HMGA2 as a master regulator of mutant RAS-driven gene expression by analyzing time-resolved transcriptome and proteome changes in epithelial cells.

The paper models BCR signaling in B cell lymphoma cells to identify conserved network structures and crosstalk mechanisms.

This study uses targeted Perturb-seq to identify EGR1 and FOS as key regulators of the transcriptional RAF-MAPK response by constructing a directional interaction network.

This paper introduces a computational method to reconstruct signaling networks from incomplete perturbation data and identify differences between networks in sensitive and resistant cells.

The paper develops a modified MRA method to model signalling networks from incomplete perturbation data and applies it to study SHP2's role in colon cancer cell lines.

This study introduces PROGENy, a method that improves pathway activity inference from gene expression by using perturbation experiments, showing better accuracy than existing methods.