Biology subjects

Brueckner, D. B.

Publications and source records attributed to Brueckner, D. B..

5 recordsLinked to original sources

bioRxiv2023

Self-organised pattern formation in the developing neural tube by a temporal relay of BMP signalling

Developing tissues interpret dynamic changes in morphogen activity to generate cell type diversity. To quantitatively study BMP signalling dynamics in the vertebrate neural tube, we developed a new ES cell differentiation system tailored for growing tissues. Differentiating cells form striking self-organised patterns of dorsal neural tube cell types driven by sequential phases of BMP signalling that are observed both in vitro and in vivo. Data-driven biophysical modelling showed that these dynamics result from coupling fast negative feedback with slow positive regulation of signalling by the specification of an endogenous BMP source. Thus, in contrast to relays that propagate morphogen signalling in space, we uncover a BMP signalling relay that operates in time. This mechanism allows rapid initial concentrationsensitive response that is robustly terminated, thereby regulating balanced sequential cell type generation. Altogether, our study provides an experimental and theoretical framework to understand how signalling dynamics are exploited in developing tissues.

developmental biology↗

bioRxiv2023

BMP-dependent patterning of ectoderm tissue material properties modulates lateral mesendoderm cell migration during early zebrafish gastrulation

Cell migration is a fundamental process during embryonic development. Most studies on cell migration in vivo have focussed on the migration of cells using the extracellular matrix (ECM) as their substrate for migration. In contrast, much less is known about how cells migrate on other cells, as found in early embryos when the ECM has not yet formed. Here, we show that lateral mesendoderm (LME) cells in the early zebrafish gastrula use the overlying ectoderm as their substrate for migration. We show that the lateral ectoderm is permissive for the animal pole-directed migration of LME cells, while the ectoderm at the animal pole of the gastrula halts animal pole-directed LME migration. These differences in the permissive properties of the ectoderm for LME migration are due to the lateral ectoderm being more cohesive and viscous than the animal ectoderm. Consistently, tuning cell contractility in lateral and animal ectoderm via modulation of the actomyosin cytoskeleton is sufficient to change their permissiveness for LME migration. Finally, we found that BMP signalling is critical for reducing animal ectoderm cohesion and, thus, its capacity to halt LME migration towards the animal pole. Collectively, these findings identify a critical role of ectoderm tissue cohesion and viscosity in guiding LME migration during zebrafish gastrulation.

developmental biology↗

bioRxiv2023

Stochastic motion and transcriptional dynamicsof distal enhancer-promoter pairs on a compacted chromosome

Chromosomes in the eukaryotic nucleus are highly compacted. However, for many functional processes, including transcription initiation, the 3D pair-wise motion of distal chromosomal elements, such as enhancers and promoters, is essential and necessitates dynamic fluidity. Therefore, the interplay of chromosome organization and dynamics is crucial for gene regulation. Here, we use a live imaging assay to simultaneously measure the positions of pairs of enhancers and promoters and their transcriptional output in the developing fly embryo while systematically varying the genomic separation between these two DNA loci. Our analysis reveals a combination of a compact globular organization and fast subdiffusive dynamics. These combined features cause an anomalous scaling of polymer relaxation times with genomic separation and lead to long-ranged correlations compared to existing polymer models. This scaling implies that encounter times of DNA loci are much less dependent on genomic separation than predicted by existing polymer models, with potentially significant consequences for eukaryotic gene expression.

biophysics↗

bioRxiv2019

Area and Geometry Dependence of Cell Migration in Asymmetric Two-State Micropatterns

Micro-structured surfaces provide a unique framework to probe cell migration and cytoskeletal dynamics in a standardized manner. Here, we report on the steady-state occupancy probability of cells in asymmetric two-state microstructures that consist of two fibronectin-coated adhesion sites connected by a thin guidance cue. In these dumbbell-like structures, cells transition between the two sites in a repeated and stochastic manner and average dwell times in the respective microenvironments are determined from the cell trajectories. We study the dynamics of human breast carcinoma cells (MDA-MB-231) in these microstructures as a function of area, shape and orientation of the adhesion sites. On square adhesive sites with different areas, we find that the occupancy probability ratio is directly proportional to the ratio of corresponding adhesion site areas. Sites of equal area but different shape lead to equal occupancy, if shapes are isotropic, e.g. squared or circular. In contrast, an asymmetry in the occupancy is induced by anisotropic shapes like rhombi, triangles or rectangles that enable motion in the direction perpendicular to the transition axis. Analysis of the 2D motion of cells between two rectangles with orthogonal orientation suggests that cellular transition rates depend on the cell polarisation induced by anisotropic micropatterns. Taken together, our results illustrate how two-state-micropatterns provide a dynamic migration assay with distinct dwell times and relative cell occupancy as readouts, which may potentially be useful to probe cell-microenvironment interactions.

biophysics↗

bioRxiv2019

Disentangling the Behavioural Variability of Confined Cell Migration

Cell-to-cell variability is inherent to numerous biological processes, including cell migration. Quantifying and characterizing the variability of migrating cells is challenging, as it requires monitoring many cells for long time windows under identical conditions. Here, we observe the migration of single human breast cancer cells (MDA-MB-231) in confining two-state micropatterns. To describe the stochastic dynamics of this confined migration, we employ a dynamical systems approach. We identify statistics to measure the behavioural variance of the migration, which significantly exceed those predicted by a population-averaged stochastic model. This additional variance can be explained by the combination of an aging process and population heterogeneity. To quantify population heterogeneity, we decompose the cells into subpopulations of slow and fast cells, revealing the presence of distinct classes of dynamical systems describing the migration, ranging from bistable to limit cycle behaviour. Our findings highlight the breadth of migration behaviours present in cell populations.

biophysics↗