bioRxiv Science⌕ Search

bioRxiv · 10.64898/2026.10.09.757961

A conservative moving-boundary multiphysics framework reveals nonlinear coupling between osmotic flow and actin-driven cell migration

Abstract

Cell migration couples membrane transport, intracellular fluid motion, and actin remodeling on a boundary that deforms with the cell. Quantitative interpretation of this coupling requires accurate one-sided membrane solute transport and conservative transfer between the G-actin and F-actin pools, because these fields determine the osmotic pressure and polymerization flux that enter the force balance. We develop an implicit immersed-boundary Stokes--Brinkman solver coupled to a sharp interface Cartesian grid advection--diffusion solver that enforces Robin conditions on the evolving membrane and advances F-actin/G-actin exchange through paired interface fluxes on the same accepted geometry. The framework resolves membrane mechanics, osmotic water permeation, solute transport, actin turnover, substrate drag, and intracellular advection in one calculation. Long-duration tests show excellent conservation of total actin and total solute under sustained interface motion and transport. The actin calculations recover biphasic dependencies on both depolymerization and substrate coupling, while pump-induced migration generates a rearward cell-relative cytosolic flow. In the fully coupled system, this flow redistributes G-actin more strongly than F-actin, reorganizes membrane polymerization and F-actin stress, and changes cell migration. Matched controls show that the coupled actin--osmotic system travels farther than the baseline-corrected sum of the isolated actin- and pump-driven responses. The calculations identify cytosolic convection as a physical route through which polarized membrane transport reorganizes the force-generating actin system and produces a nonlinear migration response.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Zhou, H., Yao, L., Mori, Y., Li, Y.. 2026-10-16. A conservative moving-boundary multiphysics framework reveals nonlinear coupling between osmotic flow and actin-driven cell migration. https://doi.org/10.64898/2026.10.09.757961

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Structural order emerges without mechanical order inside living cells

Intracellular organization is vital for cell function, and disruption of organelle positioning is connected to severe diseases, such as cancer. Given the small length scale of cells and the importance of Brownian motion, maintaining intracellular organization requires mechanical interactions to remain stable. Here, we test the common view that intracellular organization is reflected in intracellular mechanical properties. Using the recently introduced active mechanical fingerprint, we quantify intracellular mechanical properties and active forces to create mechanical maps of patterned RPE1 cells. The organization of actin, microtubules, the Golgi apparatus, the endoplasmic reticulum, and the nucleus reveals pronounced structural polarization across the cell population. To overcome limitations of simple averages, we use a Wasserstein barycenter to calculate an optimal intracellular organization that explains all measurements with minimal cellular distortion. To our surprise, and in contrast to previous reports, we find neither a statistically significant spatial mechanical pattern nor any relevant correlation between the tested structures and intracellular mechanical properties. While there is clear local mechanical anisotropy, the large heterogeneity of mechanical values outweighs any intracellular mechanical gradient. This is further supported by large cell-to-cell variability. Thus, despite having the same genome, cells function properly while their intracellular mechanical properties vary over two orders of magnitude.

biophysics↗

CALISTO: A Standardized and Open-Source Software for Magnetic Tweezer Force Calibration

Magnetic tweezers (MT) enable multiplexed single-molecule force spectroscopy while applying controlled forces and torques to biomolecules. They resolve forces below 1 pN and maintain constant forces over extended periods, but accurate calibration remains challenging due to drift, tracking artifacts, camera noise, and bead variability. Here, we present CALISTO (CALIbration Suite for magnetic Tweezer Operation), an open-source software for MT force calibration. CALISTO analyzes position traces of DNA-tethered magnetic beads and surface-bound reference beads for drift correction. It implements three thermal-motion-based calibration methods: power spectral density, Allan variance, and Hadamard variance, with the latter providing increased robustness against drift and correlated measurement noise. The graphical user interface combines automated analysis with user-guided quality control, including reference bead selection, z-offset determination, magnet-position classification, bead-wise force estimation, and tether extension analysis. Together, these steps generate a master force calibration curve. We systematically evaluated their effects on calibration performance. The largest improvement resulted from automated filtering of problematic force plateaus using time-series characterization to identify traces affected by drift, tracking artifacts, or irregular fluctuations. Filtering reduced scatter and improved force estimation while preserving the underlying force-magnet position relationship. CALISTO thus provides a standardized, reproducible framework for reliable magnetic-tweezers force calibration.

biophysics↗

A Planar Switching Neuron Shares Logarithmic First-Spike Latency with Its Three-Dimensional Parent But Not Its Onset Mechanism

Reducing an electronic neuron from three variables to two can preserve a familiar voltage trace while changing the underlying dynamics that create it. We examine this distinction in a piecewise-linear planar reformulation of the three-dimensional neurosimilator. The planar model produces repetitive spike-like excursions without an imposed reset and admits an exact linear solution inside each of six switching regions. Direct comparison reveals only partial agreement between the two models. Although both generate large voltage excursions and an event rate that rises with applied drive, their waveforms and frequency-current gains differ substantially. A reanalysis of the three-dimensional, near-threshold data also corrects an earlier interpretation: over the resolved interval, the first-spike latency depends logarithmically on the normalized distance from threshold, matching the behavior of the planar model. However, this common functional form does not imply a shared onset mechanism. The three-dimensional equilibrium branch reaches a saddle-node limit point, whereas the planar equilibrium remains a stable node until it exits its admissible region at a switching boundary. While a stagewise analytical reconstruction captures individual voltage excursions, crossing-time errors accumulate unless Newton corrections are applied. The reduced system is therefore a useful electronic neuron model with transparent switching dynamics, rather than a dynamically equivalent copy of its three-dimensional parent. \

biophysics↗