N. Bluthgen

High-confidence calling of normal epithelial cells allows identification of a novel stem-like cell state in the colorectal cancer microenvironment

The paper develops CCISM to distinguish cancer cells from normal epithelial cells in single-cell data, identifying a novel stem-like cell state in the colorectal cancer microenvironment.

Oncogenic signalling is coupled to colorectal cancer cell differentiation state

This study shows oncogenic signalling in colorectal cancer is linked to cell differentiation states through a defined axis, with mutations affecting stemness and differentiation.

A 3D gene expression atlas of the floral meristem based on spatial reconstruction of single nucleus RNA sequencing data

The paper reconstructs 3D gene expression patterns in a floral meristem using single-nuclei RNA-seq and spatial reconstruction to study cell identity and organ patterning.

Neuroblastoma signalling models unveil combination therapies targeting feedback-mediated resistance

This study identifies feedback-mediated resistance to MEK inhibitors in neuroblastoma and shows that combining MEK with RAF or IGFR inhibitors can overcome resistance.

Mitogen-activated protein kinase activity drives cell trajectories in colorectal cancer

The paper identifies mitogen-activated protein kinase activity as a driver of cell trajectories in colorectal cancer using single-cell transcriptomics and organoid models.

Impact of herbivore preference on the benefit of plant trait variability

The paper investigates how herbivore leaf preference affects the benefit of plant trait variability, showing that preference can override the curvature of the herbivore response function.

When more is less: Dual phosphorylation protects signaling off-state against overexpression

The paper uses kinetic models to show that dual phosphorylation of Erk can lead to a bell-shaped response in Erk activity with increasing protein levels, protecting signaling from overactivation.

Dissecting cancer resistance to therapies with cell-type-specific dynamic logic models

The paper uses dynamic logic models of signaling pathways to predict drug sensitivity in colorectal cancer cell lines and identifies drug combinations to overcome resistance.