Biology subjects

Broedersz, C. P.

Publications and source records attributed to Broedersz, C. P..

10 recordsLinked to original sources

bioRxiv2026

Dynamic CTCF bridges drive genome organization

Human CCCTC-binding factor (CTCF) is a crucial factor in genome organization, regulating chromatin looping and gene expression. The loop extrusion model (LEM) designates cohesin as the sole active player and limits CTCF to a passive barrier, though emerging evidence suggests a more dynamic role. Using complementary single-molecule techniques, combining dual- and quad-trap optical tweezers, fluorescence microscopy, and atomic force microscopy, we show CTCF forms stable, dynamic DNA bridges. We demonstrate CTCF binds with high affinity and cooperativity, undergoes 1D diffusion, and stiffens DNA. Strikingly, CTCF stabilizes DNA loops without cohesin and forms bridges that slide at low force yet resist rupture at forces exceeding dsDNA stability. These findings suggest a modified LEM in which CTCF directly forms dynamic, force-resistant bridges to stabilize cohesin-established loops, revealing an active role in genome organization.

biophysics↗

bioRxiv2025

Learning the dynamic organization of a replicating bacterial chromosome from time-course Hi-C data

Bacterial chromosomes are in continual motion as they undergo concurrent transcription, replication, and segregation. Time-course Hi-C experiments hold promise for studying chromosome organization across the cell cycle, but interpreting Hi-C data from dynamic systems remains challenging. Here, we develop a fully data-driven 4D Maximum Entropy approach to extract a model for the dynamic organization of a replicating bacterial chromosome directly from time-course Hi-C and microscopy data. After validating our 4D data-driven model for Caulobacter crescentus against independent microscopy data, we infer quantitative information about changes in chromosome organization across the bacterial replication cycle. Our model reveals a sustained global linear organization of the C. crescentus chromosome during replication, as well as dynamic patterns of local chromosome extension induced by the replication forks. We use these data-driven inferences to constrain a mechanistic model for a replicating bacterial chromosome. Our model demonstrates that origin-pulling by a ParABS -like system, together with loop extrusion by condensin, can explain our inferred large-scale chromosome segregation patterns. The inferred replication-induced local changes in chromosome compaction, however, require additional mechanisms, which we attribute to replication-induced NAP unbinding and positive supercoiling. Overall, our work introduces a rigorous data-driven framework for quantitatively interpreting time-course Hi-C data, and offers new mechanistic insights into bacterial chromosome organization across the cell cycle.

biophysics↗

bioRxiv2024

Loop-extruder mediated rigidity can globally order bacterial chromosomes

Many bacterial chromosomes show large-scale linear order, so that a locuss genomic position correlates with its position along the cell. In the model organism E. coli, for instance, the left and right arms of the circular chromosome lie in different cell halves. However, no mechanisms that anchor loci to the cell poles have been identified, and it remains unknown how this so-called "left-ori-right" organization arises. Here, we construct a biophysical model that explains how global chromosome order could be established via an active loop extrusion mechanism. Our model assumes that the motor protein complex MukBEF extrudes loops on most of the E. coli chromosome, but is excluded from the terminal region by the protein MatP, giving rise to a partially looped ring polymer structure. Using 3D simulations of loop extrusion on a chromosome, we find that our model can display stable left-ori-right chromosomal order in a parameter regime consistent with prior experiments. We explain this behavior by considering the effect of loop extrusion on the bending rigidity of the chromosome, and derive necessary conditions for left-ori-right order to emerge. Finally, we develop a phase diagram for the system, where order emerges when the loop size is large enough and the looped region is compacted enough. Our work provides a mechanistic explanation for how loop-extruders can establish linear chromosome order in E. coli, and how this order leads to accurate gene positioning within the cell, without locus anchoring.

biophysics↗

bioRxiv2023

Unravelling the metastasis-preventing effect of miR-200c in vitro and in vivo

Advanced breast cancer as well as insufficient treatment can lead to the dissemination of malignant cells from the primary tumor to distant organs. Recent research has shown that miR-200c can hamper certain steps of the invasion-metastasis cascade. However, it is still unclear, whether sole miR-200c expression is sufficient to prevent breast cancer cells from metastasis formation. Hence, we performed a xenograft mouse experiment with inducible miR-200c expression in MDA-MB 231 cells. The ex vivo analysis of metastatic sites in a multitude of organs including lung, liver, brain, and spleen has revealed a dramatically reduced metastatic burden of mice with miR-200c expressing tumors. A fundamental prerequisite for metastasis formation is the motility of cancer cells and, therefore, their migration. Consequently, we analyzed the effect of miR-200c on collective and single cell migration in vitro, utilizing MDA-MB 231 and MCF7 cell systems with genetically modified miR-200c expression. Analysis of collective cell migration has resulted in confluence dependent motility of cells with altered miR-200c expression. Additionally, scratch assays have shown enhanced predisposition of miR-200c negative cells to leave cell clusters. The in-between stage of collective and single cell migration was validated using transwell assays, which have displayed reduced migration of miR-200c positive cells. Finally, to measure migration on single cell level, a novel assay on dumbbell shaped micropatterns was performed, which revealed that miR-200c critically determines confined cell motility. All of these results demonstrate that exclusive expression of miR-200c impedes metastasis formation in vivo and migration in vitro and highlight miR-200c as metastatic suppressor in breast cancer.

cancer biology↗

bioRxiv2023

Loop-extruders alter bacterial chromosome topology to direct entropic forces for segregation

Entropic forces have been argued to drive bacterial chromosome segregation during replication. In many bacterial species, how-ever, specifically evolved mechanisms, such as loop-extruding SMC complexes and the ParABS origin segregation system, contribute to or are even required for chromosome segregation, suggesting that entropic forces alone may be insufficient. The interplay between and the relative contributions of these segregation mechanisms remain unclear. Here, we develop a biophysical model showing that purely entropic forces actually inhibit bacterial chromosome segregation until late replication stages. By contrast, our model reveals that loop-extruders loaded at the origins of replication, as observed in many bacterial species, alter the effective topology of the chromosome, thereby redirecting and enhancing entropic forces to enable accurate chromosome segregation during replication. We confirm our model predictions with polymer simulations: purely entropic forces do not allow for concurrent replication and segregation, whereas entropic forces steered by specifically loaded loop-extruders lead to robust, global chromosome segregation during replication. Finally, we show how loop-extruders can complement locally acting origin separation mechanisms, such as the ParABS system. Together, our results illustrate how changes in the geometry and topology of the polymer, induced by DNA-replication and loop-extrusion, impact the organization and segregation of bacterial chromosomes.

biophysics↗

bioRxiv2023

Ion-mediated condensation controls the mechanics of mitotic chromosomes

During mitosis in eukaryotic cells, mechanical forces generated by the mitotic spindle pull the sister chromatids into the nascent daughter cells. How do mitotic chromosomes achieve the necessary mechanical stiffness and stability to maintain their integrity under these forces? Here, we use optical tweezers to show that ions involved in physiological chromosome condensation are crucial for chromosomal stability, stiffness and viscous dissipation. We combine these experiments with high-salt histone-depletion and theory to show that chromosomal elasticity originates from the chromatin fiber behaving as a flexible polymer, whereas energy dissipation can be explained by interactions between chromatin loops. Taken together, we show how collective properties of mitotic chromosomes, a biomaterial of incredible complexity, emerge from molecular properties, and how they are controlled by the physico-chemical environment.

biophysics↗

bioRxiv2022

Multi-contact statistics distinguish models of chromosome organization

Chromosome organization in both eukaryotes and prokaryotes is highly regulated. Organizing mechanisms, such as loop-extrusion, have been extensively studied using Hi-C methods, which measure pairwise contacts between chromosomal regions. New multi-contact methods additionally measure which chromosomal contacts occur simultaneously. Here, we develop three predictors of baseline multi-contact frequencies given pairwise contact data, corresponding to distinct physical limits, and argue that a comparison between data and prediction can lead to biological insight. We test these predictors for two simulated polymer models with cross-linking or loop-extrusion, and find that simulated three-point contacts are only predicted by the physically appropriate approximation. Finally, we apply our approach to previously published experimental multi-contact data from human chromosomes. Strikingly, we discover that observed three-point contact frequencies are well predicted by a formula based on loop-extrusion, suggesting that multi-contact data can give insight into chromosome organization mechanisms.

biophysics↗

bioRxiv2021

Disentangling cadherin-mediated cell-cell interactions in collective cancer cell migration

Cell dispersion from a confined area is fundamental in a number of biological processes, including cancer metastasis. To date, a quantitative understanding of the interplay of single cell motility, cell proliferation, and intercellular contacts remains elusive. In particular, the role of E- and N-Cadherin junctions, central components of intercellular contacts, is still controversial. Combining theoretical modeling with in vitro observations, we investigate the collective spreading behavior of colonies of human cancer cells (T24). Inhibition of E- and N-Cadherin junctions decreases colony spreading and average spreading velocities, without affecting the strength of correlations in spreading velocities of neighboring cells. Based on a biophysical simulation model for cell migration, we show that the behavioral changes upon disruption of these junctions can be explained by reduced repulsive excluded volume interactions between cells. This suggests that cadherin-based intercellular contacts sharpen cell boundaries leading to repulsive rather than cohesive interactions between cells, thereby promoting efficient cell spreading during collective migration.

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↗