European Biophysics Journal最新文献

Biomembranes regulate molecular transport essential to cellular function and numerous biomedical applications, such as drug delivery and gene therapy. This study simulates molecular transport through nano-sized multipores in Giant Unilamellar Vesicles (GUVs) using COMSOL Multiphysics. We analyzed the diffusion dynamics of fluorescent probes—including Calcein, Texas-red dextran 3000 (TRD- 3k), TRD- 10k, and Alexa Fluor-labeled soybean trypsin inhibitor (AF-SBTI)—across different pore sizes, and derived rate constants using curve fitting that closely align with experimental data. Additionally, an analytical model based on Fick’s law of diffusion provides further insight into transport efficiency. This approach offers a novel perspective by examining simultaneous transport through multiple nanopores, which better mimics realistic biological environments compared to traditional single-pore studies. We used COMSOL for efficiently simulating large-scale, multi-nanopore systems, particularly in biomedical applications where modeling of complex transport phenomena is essential. This work provides new insights into multipore-mediated transport, critical for optimizing nanopore-based drug delivery and advancing the understanding of cellular transport mechanisms.

Water is central to biological processes not only as a solvent, but also as an agent shaping macromolecular behavior. Insights into water micro assemblies (WMA), defined by transient regions of low-density water (LDW) and high-density water (HDW), have highlighted their potential impact on biological phenomena. LDW, with its structured hydrogen bonding networks and reduced density, stabilizes hydrophobic interfaces and promotes ordered molecular configurations. Conversely, HDW, with its dynamic and flexible nature, facilitates transitions, solute mobility and molecular flexibility. By correlating experimental observations with simulations, we explore the influence of WMA on three key biological processes. In protein folding, LDW may stabilize hydrophobic cores and secondary structures by forming structured exclusion zones, while HDW may introduce dynamic flexibility, promoting the resolution of folding intermediates and leading to dynamic rearrangements. In enzyme catalysis, LDW may form structured hydration shells around active sites stabilizing active sites over longer timescales, while HDW may support substrate access and catalytic flexibility within active sites. In membrane dynamics, LDW may stabilize lipid headgroups, forming structured hydration layers that enhance membrane rigidity and stability, while HDW may ensure the nanosecond-scale flexibility required for vesicle formation and fusion. Across these tree processes, the WMA’s energy contributions, timescales and spatial scales align with the forces and dynamics involved, highlighting the role of LDW and HDW in modulating cellular interactions. This perspective holds implications for the design of lab-on-chip devices, advancements in sensor technologies, development of biomimetic membranes for drug delivery, creation of novel therapeutics and deeper understanding of protein misfolding diseases.

Exocytosis is a fundamental process related to the information exchange in the nervous and endocrine system. Among the various techniques, vesicle impact electrochemical cytometry (VIEC) has emerged as an effective method to mimic the exocytosis process and measure dynamic information about content transfer using nanoscale electrodes. In this article, through analytical models and large scale simulations, we develop scaling laws for the decay time constant ((tau )) for VIEC single-exponential transients. Specifically, our results anticipate a power law dependence of (tau) on the geometric and the transport parameters. This model compares very well with large scale simulations exploring the parameter space relevant for VIEC and with experimental results from literature. Remarkably, such physics-based compact models could allow for novel multi-feature-based self consistent strategies for back extraction of geometric and transport parameters and hence could contribute towards better statistical analysis and understanding of exocytosis transients and events.

The c(s) sedimentation distribution method implemented in the program SEDFIT (Biophys J 78:1606–1619, 2000) is widely used for analyzing sedimentation velocity data, and is particularly useful for detecting low levels of aggregates or other minor components in protein pharmaceuticals. Unfortunately, this method does not provide confidence limits for the area or sedimentation coefficient of each resolved peak, which makes it difficult to assess whether differences from one sample to another are statistically significant. This paper describes a new method to obtain such confidence limits using the program SVEDBERG (Biophys J 72:435–444, 1997) by automatically translating a saved c(s) distribution into a discrete species model where the molar masses of all species are constrained to keep the f/f₀ ratio constant for all species. This approach also then allows relaxing the constant f/f₀ ratio constraint on one or more minor species to determine their true molar masses (independent of assumptions about hydrodynamic shape), and also determining the confidence limits on that molar mass. It is demonstrated that this approach will work for samples containing up to five minor components (six total species), and even when multiple minor species are present at levels of only a few tenths of 1%.

The bioactivity of the short antimicrobial peptides (ssAMPs) UyCT1, CT2, CT3, CT5, Uy17, Uy192, and Uy234 from the scorpion Urodacus yaschenkoi has been well-characterized. The antagonistic effect reported in those studies on some clinical isolates of pathogenic bacteria, including Staphylococcus aureus, Klebsiella pneumoniae, and Escherichia coli was studied with an in silico approach to contrast their bioactivity in molecular terms. The peptides were modeled by generating high-quality structures with AlphaFold2, properly validated, and subjected to dynamic simulations in aqueous systems with the Gromos 43a1 and Charmm 36 force fields. Our analysis indicates that the degree of helicity of these peptides is closely linked to their composition and several physicochemical factors such as the hydrophobicity index, electrostatic potential, intrinsic flexibility, and dipole moment. We also found interesting parallels between the degree of order mentioned and the potency of each peptide with previously studied bacterial strains, specifically S. aureus. We analyzed in more detail of two specific peptides, UyCT1 and UyCT2, whose sequences are almost identical, except for the presence of a G-cap in the former. This subtle difference has a decisive impact on the conformational dynamics of these peptides, making the UyCT2 peptide more prone to disorder and the UyCT1 peptide more stable through the formation of multiple H-bonds. This analysis, based on an exhaustive characterization of the physicochemical properties of these ssAMPs, together with the determination of their conformational dynamics and the correlation with experimental data, could be the basis for the design and optimization of new drugs based on natural peptides found in scorpion venoms.

Currently, there is an increased interest in identifying the characteristics of amyloid aggregates in the initial stages of amyloid formation. The aggregation mechanism of the α-synuclein (Syn) amyloid protein, which has been extensively studied, is still not fully understood. I show that with conventional dynamic light scattering (DLS) technique, the measurements of the dimensions of Syn amyloid precursor forms can be done early in the protein incubation. Additionally, the early aggregation of the Syn protein was initially studied by analyzing autocorrelation functions from fit distributions up to 10⁴ µs in the initial DLS measurements, specifically within the first 21 min. Investigation was conducted on the variation in the pH of the Syn solution throughout time. Based on DLS data, large Syn aggregated species formed from the monomer protein species. Afterward, I generated the autocorrelation functions based on the original DLS data, extending the fit distributions up to 10⁵ µs and noticed the existence of elongated Syn amyloid precursor forms in the protein solutions. Because the length of the elongated Syn amyloid precursor forms closely matches the wavelength of the incident light, the combination of translational diffusion Dt and rotational diffusion Dr in the decay rates enabled the measurement of their geometric dimensions through DLS. The improved precision of the fitted distributions I offered resulted in a new interpretation for the Syn protein aggregation in the initial stages. Overall, the methodology used in this study could be an effective strategy for examining how Syn amyloid precursor forms develop over time.

At present, research on the biomechanical response of the cupula of human semicircular canals (HSCs) has focused on indirect inference through the nystagmus view, which is limited by the participation of the human nervous system. In this study, 3D printing technology and hydrogel modification methods were used to fabricate a one-dimensional bionic semicircular canal (BSC) model with a ratio of 1:1 to the horizontal HSC. Target tracking technology was used to observe the deformation of the cupula. Then, constant angular acceleration stimulation and the other two stimulations were separately applied to the BSC to explore its biomechanical response. The results showed that the BSC had a similar time constant to that of the HSC, its maximum deviation displacement was proportional to the applied angular acceleration, and its amplitude-frequency gain under sinusoidal oscillation stimulation increased, but its phase difference decreased with increasing frequency, which consistent with the conclusions obtained by our theoretical deduction. The BSC model is expected to play a certain role in the mechanistic research and disease diagnosis of HSCs.