Roderick A. P. M. van Eijl

The paper investigates how cell-state differences affect drug responses and signaling network interactions in human epidermal stem cells.

This paper introduces scCNR, a method to reconstruct signal transduction networks from single-cell protein data by treating stochastic variation as perturbations, and validates it on simulated and experimental data.

The paper uses single-cell ID-seq to identify BMP signaling as a driver of late-stage epidermal differentiation by analyzing phospho-specific epitopes and transcription factors.