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Engineered local heterogeneity in drug concentration is used as a tool to encode drug treatment regimens and to predict the macroscopic cellular response to drug perturbations.

FAST^M is a novel technique that leverages phase-sensitive signal detection for time-resolved multiplexing of probes with millisecond time resolution, opening new opportunities for interrogating rapid cellular signaling and (bio)chemical reactions.

Development of specific and high-affinity nanobodies to probe the structure of human acid sensing ion channel-1a and as binding modifiers of the toxins PcTx and MitTx1.

A novel live-cell mRNA imaging technology identifies individual living cells based on their gene expression and enables the concurrent study of their physiology.

The cyanobacterial core clock tracks midday regardless of day length, which can be understood in terms of a model for how the environment alters the clock limit cycle.

The axial organization and dynamics of the HOPS complex at membrane surface are resolved by graphene-induced energy transfer with subnanometer resolution.

Cells adapt to extracellular hypertonicities using regulatory volume increase (RVI), and TNFR1-mediated NFkB activation is indispensable for RVI, but the increased cytoplasmic macromolecular crowding can inhibit TNFR1 signaling and prevent RVI at severe hypertonicities.

Empirical energy landscape allows simulating the structural dynamics of the proteasomal ATPase complex, which yields predictions that are widely consistent with experimental observations and reveals the functional mechanism of the proteasome in substrate degradation.

Quantitative models for responses of rod and cone photoreceptors are developed that allow direct tests of the impact of the photoreceptors on responses of downstream visual neurons.

Visual neurons in the dragonfly predict the path of a moving target, even when it is occluded or crosses from one eye to the other.