David B. Brückner

The paper identifies how cell heterogeneity and YAP1 inactivation drive tissue patterning during intestinal regeneration through feedback mechanisms.

This study shows that equivalent learning outcomes emerge through different population dynamics in motor cortex and hippocampus during volitional control tasks.

The paper shows that a single snapshot of combinatorial signaling can predict cell fate in human embryonic patterning using Sig2Fate, a method combining immunofluorescence, information theory, and machine learning.

The paper shows spatially correlated fluctuations slow relative chromatin motion in living cells, affecting gene regulation.

This study shows cancer cells follow intrinsic self-organized programs that coordinate tumor cell state transitions during growth, revealing mechanical gradients and stereotyped patterns of heterogeneity and plasticity.

This study shows cells exhibit complex migration patterns along haptotactic gradients, including oscillations and directed movement, and develops a biophysical model to explain these behaviors.

The paper identifies three types of megabase-scale heterochromatin domains in C. elegans using single-molecule tracing and shows their developmental dynamics and structural differences.

This study shows migrating cells retain a mechanical memory of past morphological states through actin cortex remodeling, aiding navigation in confined spaces.

This study shows that ectoderm tissue properties, influenced by BMP signaling, modulate lateral mesendoderm cell migration during zebrafish gastrulation.

The paper studies BMP signalling dynamics in the developing neural tube, showing temporal relay mechanisms drive self-organised cell type patterns.