Biophysical journal最新文献

Recent developments of single-molecule and superresolution microscopies reveal novel spatial-temporal features of various cellular processes with unprecedented details, and greatly facilitate the development of theoretical models. In this review, we synthesize our view of how to meaningfully integrate these experimental approaches with theoretical modeling to obtain deeper understanding of the physical mechanisms of cell biology.

Cardiomyopathies, often caused by mutations in genes encoding muscle proteins, are traditionally treated by phenotyping hearts and addressing symptoms post irreversible damage. With advancements in genotyping, early diagnosis is now possible, potentially introducing earlier treatment. However, the intricate structure of muscle and its myriad proteins make treatment predictions challenging. Here, we approach the problem of estimating therapeutic targets for a mutation in mouse muscle using a spatially explicit half sarcomere muscle model. We selected nine rate parameters in our model linked to both small molecules and cardiomyopathy-causing mutations. We then randomly varied these rate parameters and simulated an isometric twitch for each combination to generate a large training data set. We used this data set to train a conditional variational autoencoder, a technique used in Bayesian parameter estimation. Given simulated or experimental isometric twitches, this machine learning model is able to then predict the set of rate parameters that are most likely to yield that result. We then predict the set of rate parameters associated with twitches from control mice with the cardiac troponin C (cTnC) I61Q variant and control twitches treated with the myosin activator Danicamtiv, as well as model parameters that recover the abnormal I61Q cTnC twitches.

We elucidate the mechanism underpinning a recently discovered phenomenon in which cells respond to MHz-order mechanostimuli. Deformations induced along the plasma membrane under these external mechanical cues are observed to decrease the membrane tension, which, in turn, drives transient and reversible remodeling of its lipid structure. In particular, the increase and consequent coalescence of ordered lipid microdomains leads to closer proximity to mechanosensitive ion channels-Piezo1, in particular-that, due to crowding, results in their activation to mobilize influx of calcium (Ca²⁺) ions into the cell. It is the modulation of this second messenger that is responsible for the downstream signaling and cell fates that ensue. In addition, we show that such spatiotemporal control over the membrane microdomains in cells-without necessitating biochemical factors-facilitates aggregation and association of intrinsically disordered tau proteins in neuroblastoma cells, and their transformation to pathological conditions implicated in neurodegenerative diseases, thereby paving the way for the development of therapeutic intervention strategies.

Cells can dynamically organize reactions through the formation of biomolecular condensates. These viscoelastic networks exhibit complex material properties and mesoscale architectures, including the ability to form multiphase assemblies. It was shown previously that condensates with complex architectures may arise at equilibrium in multicomponent systems or in condensates that were driven out of equilibrium by changes in external parameters such as temperature. In this study, we demonstrate that the aging of initially homogeneous protein-RNA condensates can spontaneously lead to the formation of kinetically arrested double-emulsion and core-shell structures without changes in external variables such as temperature or solution conditions. By combining time-resolved fluorescence-based experimental techniques with simulations based on the Cahn-Hilliard theory, we show that, as the protein-RNA condensates age, the decrease of the relative strength of protein-RNA interactions induces the release of RNA molecules from the dense phase. In condensates exceeding a critical size, aging combined with slow diffusion of the macromolecules trigger nucleation of dilute phase inside the condensates, which leads to the formation of double-emulsion structures. These findings illustrate a new mechanism of formation of multicompartment condensates.

Hirudin is a bioactive small protein that binds thrombin to interrupt the blood clotting cascade. It contains an ordered and a disordered (IDR) region. Conjugating with polyethylene glycol (PEGylation) is an important modification of biopharmaceuticals to improve their lifetime and retention. Here, we studied by molecular dynamics (MD) simulation how hirudin P18 and its PEGylated variant differ in their structural flexibility depending on binding to thrombin and charge screening by NaCl. We also compare with glycated hirP18 and the hirV1 variant to assess effects of different polar attachments and sequence variability. First, we synthesized unlabeled and PEG-labeled hirP18 followed by an activity assay to ascertain that the peptide-PEG conjugate retains anticoagulant activity. Next, we carried 16 different microsecond MD simulations of the different proteins, bound and unbound, for 2 sequences and different salt conditions. Simulations were analyzed in terms of scaling exponents to study the effect of ionic strength on hirudin size and solvent-exposed surface area. We conclude that charge patterning of the sequence and the presence of arginine are 2 important features for how PEG interacts with the protein folded and intrinsically disordered regions. Specifically, PEG can screen end-to-end electrostatic interactions by "hiding" a positively charged region of hirudin, whereas hirV1 is less sticky than hirP18 due to different PEG-hirudin hydrophobic interactions and the presence of an arginine in hirP18. Conjugation with either PEG or a glycan significantly reduces solvent-exposed area of hirudin, but PEG interacts more efficiently with surface residues than does glycan due to its narrower chain that can fit in surface grooves, and alternation of polar (oxygen) and nonpolar (CH₂-CH₂) groups that interact favorably with charged and hydrophobic surface patches.

Most kinesin molecular motors dimerize to move processively and efficiently along microtubules; however, some can maintain processivity even in a monomeric state. Previous studies have suggested that asymmetric potentials between the motor domain and microtubules underlie this motility. In this study, we demonstrate that the kinesin-3 family motor protein KLP-6 can move forward along microtubules as a monomer upon release of autoinhibition. This motility can be explained by a change in length between the head and tail, rather than by asymmetric potentials. Using mass photometry and single-molecule assays, we confirmed that activated full-length KLP-6 is monomeric both in solution and on microtubules. KLP-6 possesses a microtubule-binding tail domain, and its motor domain does not exhibit biased movement, indicating that the tail domain is crucial for the processive movement of monomeric KLP-6. We developed a mathematical model to explain the biased Brownian movements of monomeric KLP-6. Our model concludes that a slight conformational change driven by neck-linker docking in the motor domain enables the monomeric kinesin to move forward if a second microtubule-binding domain exists.

The ability of cells to sense and respond to mechanical forces is crucial for navigating their environment and interacting with neighboring cells. Myosin II and cortexillin I form complexes known as contractility kits (CKs) in the cytosol, which facilitate a cytoskeletal response by accumulating locally at the site of inflicted stress. Here, we present a computational model for mechanoresponsiveness in Dictyostelium, analyzing the role of CKs within the mechanoresponsive mechanism grounded in experimentally measured parameters. Our model further elaborates on the established distributions and channeling of contractile proteins before and after mechanical force application. We rigorously validate our computational findings by comparing the responses of wild-type cells, null mutants, overexpression mutants, and cells deficient in CK formation to mechanical stresses. Parallel in vivo experiments measuring myosin II cortical distributions at equilibrium provide additional validation. Our results highlight the essential functions of CKs in cellular mechanosensitivity and suggest new insights into the regulatory dynamics of mechanoresponsiveness.