Biology subjects

Milas, M.

Publications and source records attributed to Milas, M..

4 recordsLinked to original sources

bioRxiv2026

Injector-based pump-probe serial synchrotron crystallography of CrPhotLOV1 at the MicroMAX beamline

Time-resolved serial synchrotron crystallography (TR-SSX) has become a powerful approach for investigating structural dynamics in proteins under near-physiological conditions. Its successful application, however, depends on robust sample delivery, reliable pump-probe synchronization, and reproducible data-processing strategies. Here, an injector-based pump-probe TR-SSX workflow at the MicroMAX beamline is applied to investigate the structural dynamics of the LOV1 domain of the blue-light photoreceptor phototropin from Chlamydomonas reinhardtii (CrPhotLOV1). Room-temperature serial datasets were collected for an independently measured laser-off dark state together with four light-activated pump-probe time windows (0-350, 500-850, 1000-1350 and 1500-1850 {micro}s after a microsecond laser pulse). All four time windows and an interleaved pump-probe dark reference were recorded in a single run with the JUNGFRAU detector at 2 kHz. Because thioether adduct formation in CrPhotLOV1 is complete within about 20 {micro}s and the adduct persists for hundreds of seconds, the four delays probe the same photoadduct state and serve as independent replicates. The workflow was evaluated in terms of data quality, light contamination in the pump-probe dark reference, difference Fourier analysis, extrapolated electron-density maps and refinement of light-state models. Consistent activation levels were obtained across all time points, enabling reliable structural interpretation of the light-activated state. Difference Fourier maps and refined extrapolated models reproducibly revealed formation of the characteristic FMN-Cys57 thioether adduct together with localized rearrangements within the chromophore-binding pocket. The refined light-state structures agree closely with previously reported CrPhotLOV1 models. These results establish a robust and reproducible workflow for injector-based pump-probe TR-SSX at the MicroMAX beamline, suitable for routine time-resolved studies of light-responsive proteins.

biophysics↗

bioRxiv2026

Photoactivatable Rac1: a photosensor tilt by time-resolved crystallography and a partially open switch I when GDP-bound

The LOV2 domain of Avena sativa phototropin 1 is widely used to control proteins with light, but how its signal reaches a fused effector has not been visualized. We followed photoactivatable Rac1 by time-resolved serial crystallography at room temperature. Within 350 {micro}s, a fifth of the photosensors form the flavin-cysteine adduct and tilt as a rigid body on Rac1 about an axis through the domain interface, while the J helix stays docked and Rac1 keeps GTP and dark-state switches up to 1.85 ms. Dark crystals contain a variable GDP-bound sub-population, so light data must be referenced to interleaved dark frames. In this sub-population, switch I is only partially open, held at a Ca2+ ion that bridges LOV2 and Rac1, a conformation that can persist in simulations without the lattice. The photosensor thus first acts on Rac1 at the interface that also holds switch I in the GDP-bound state.

biophysics↗

bioRxiv2026

Crowding governs resistance confinement and guides the improvement of adaptive therapy in a 2D melanoma model system

The emergence of treatment resistant mutants is one of the primary contributors to therapy failure in cancer. Evolution-based adaptive therapies aim to exploit the competition between sensitive and resistant cells to prolong therapeutic control. However, in the densely packed tissues of solid tumors, competition is not only determined by cell-intrinsic factors but also a result of local physical interactions between neighboring cells. The successful development of physics-informed adaptive therapies therefore hinges upon the bottom-up integration of tissue mechanics and experimentally grounded models of tumor evolution. Here, we show how population-level treatment response emerges from mechanical interactions between individual cells. Combining genetically tailored therapy-mimicry experiments in spatially structured 2D melanoma colonies with mechanistic, particle-based tissue simulations as digital twins in a real-to-sim-to-real framework, we reveal how treatment-induced changes in mechanical crowding shape a cascade of resistance expansion, spatial competitive escape, and consequent therapy failure. We then link these underlying physical mechanisms to population-level observables in an abstracted mathematical model for reinforcement-learning-based therapy optimization and a distilled treatment-decision-heuristic, which we test experimentally. Together, our results identify mechanical crowding and escape as governing principles of resistance-mediated therapy failure in solid tumours and provide a basis for mechanistically informed, evolution-based treatment strategies.

biophysics↗

bioRxiv2025

Heterogeneity in environmental stiffness alone can guide cells and shape tissues

While topographical and chemical cues are well known to regulate cell shape and function, the role of stiffness heterogeneity has remained unclear. Here, we demonstrate - for the first time to our knowledge - that cells can be guided solely by the stiffness heterogeneity of their environment. To that end, we engineered a cell-guiding platform with abrupt, subcellular stiff and soft domains, whose flatness and uniform chemistry eliminated confounding cues. Cells elongate and align along stiff regions, sensing soft domains as barriers when wider than 2 microns. Perturbated myosin activity, cortical tension, and elasticity contrast reveal distinct biomechanical contributions, while a probabilistic model integrating adhesion, contractility, and cortical tension extracts key mechanical parameters characterizing the cellular state. Finally, experiments and dissipative particle dynamics demonstrate collective stiffness-based contact guidance. This work identifies stiffness heterogeneity as a fundamental regulator of cell and tissue organization and provides a framework for designing mechanoregulatory biomaterials.

biophysics↗