Biophysical journal最新文献

Migrasomes, the vesicle-like membrane microstructures, arise on the retraction fibers (RFs), the branched nanotubules pulled out of cell plasma membranes during cell migration and shaped by membrane tension. Migrasomes form in two steps: a local RF bulging is followed by a protein-dependent stabilization of the emerging spherical bulge. Here, we addressed theoretically and experimentally the previously unexplored mechanism of bulging of membrane tubular systems. We assumed that the bulging could be driven by increases in membrane tension and experimentally verified this hypothesis in live-cell and biomimetic systems. We exposed RF-generating live cells to a hypotonic medium, which produced water flows into the cells and a related increase in the membrane tension. We observed the formation of migrasome-like bulges with a preferential location in the RF branching sites. Next, we developed a biomimetic system of three membrane tubules pulled out of a giant plasma membrane vesicle (GPMV), connected by a junction, and subjected to pulling forces controlled by the GPMV membrane tension. An abrupt increase in the GPMV tension resulted in the generation of migrasome-like bulges mainly in the junctions. To understand the physical forces behind these observations, we considered theoretically the mechanical energy of a membrane system consisting of a three-way tubular junction with emerging tubular arms subjected to membrane tension. Substantiating our experimental observations, the energy minimization predicted a tension increase to drive the formation of membrane bulges, preferably in the junction site, independently of the way of the tension application. We generalized the model to derive universal criteria of bulging in branched membrane tubules.

Cells respond to hypoosmotic stress by initial swelling followed by intracellular increases in the number of osmolytes and initiation of gene transcription that allow cells to adapt to the stress. Here, we have studied the genes that change expression under mild hypoosmotic stress for 12 and 24 h in rat cultured smooth muscle cells (WKO-3M22). We find shifts in the transcription of many genes, several of which are associated with circadian rhythm, such as per1, nr1d1, per2, dbp, and Ciart. To determine whether there is a connection between osmotic stress and circadian rhythm, we first subjected cells to hypoosmotic stress for 12 h, and find that Bmal1, a transcription factor whose nuclear localization promotes transit through the cell cycle, localizes to the cytoplasm, which may connect osmotic stress to cell cycle. Bmal1 nuclear localization recovers after 24 h and cell cycle resumes even though the osmotic stress remains elevated. We hypothesized that osmotic force is transmitted into the cell by deforming caveolae membrane domains releasing one of its structural proteins, cavin-1, which can travel to the nucleus and affect gene transcription. In support of this idea, we find that Bmal1 localization becomes independent of osmotic stress with cavin-1 downregulation, and Bmal1 localization is independent of osmotic stress in a cell line with low caveolae expression. These studies indicate that osmotic stress transiently arrests circadian rhythm and cell-cycle progression through caveolae deformation.

Plant leaf tissues are difficult to image via fluorescence microscopy due to the presence of chlorophyll and other pigments, which provide large background fluorescence. Lattice light-sheet microscopy offers the advantage of using Bessel beams to illuminate a thin focal region of interest for microscopy, allowing for the excitation of fluorescent molecules within this region without surrounding chlorophyll-like objects outside of the region of interest. Here, we apply STORM super-resolution techniques to observe receptor-like kinases in Arabidopsis thaliana leaf cells. By applying this technique with lattice light-sheet microscopy, we can localize immune-response proteins at sub-100-nm length scales and reconstruct three-dimensional locations of proteins within individual leaf cells. Using this technique, we observed the effect of the ATP and flg22 elicitors, where we observed a significant degree of internalization of cognate receptors P2K1 and FLS2. We were also able to similarly observe differences in colocalization due to stimulation with these elicitors, whereby we observe proteins on the membrane becoming less colocalized as a result of stimulation, suggesting an immune-response mechanism involving receptor internalization via distinct pathways. These data show lattice light-sheet microscopy's capabilities for imaging tissue with problematic background fluorescence that otherwise makes super-resolution fluorescence microscopy difficult.

Advanced deep learning and statistical methods can predict structural models for RNA molecules. However, RNAs are flexible, and it remains difficult to describe their macromolecular conformations in solutions where varying conditions can induce conformational changes. Small-angle x-ray scattering (SAXS) in solution is an efficient technique to validate structural predictions by comparing the experimental SAXS profile with those calculated from predicted structures. There are two main challenges in comparing SAXS profiles to RNA structures: the absence of cations essential for stability and charge neutralization in predicted structures and the inadequacy of a single structure to represent RNA's conformational plasticity. We introduce a solution conformation predictor for RNA (SCOPER) to address these challenges. This pipeline integrates kinematics-based conformational sampling with the innovative deep learning model, IonNet, designed for predicting Mg²⁺ ion binding sites. Validated through benchmarking against 14 experimental data sets, SCOPER significantly improved the quality of SAXS profile fits by including Mg²⁺ ions and sampling of conformational plasticity. We observe that an increased content of monovalent and bivalent ions leads to decreased RNA plasticity. Therefore, carefully adjusting the plasticity and ion density is crucial to avoid overfitting experimental SAXS data. SCOPER is an efficient tool for accurately validating the solution state of RNAs given an initial, sufficiently accurate structure and provides the corrected atomistic model, including ions.