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Biology subjects

Causa, E.

Publications and source records attributed to Causa, E..

3 recordsLinked to original sources

Cilia dynamics creates a dynamic barrier to penetration of the periciliary layer in human airway epithelia

The ciliated epithelium of the human respiratory tract is covered by the airway surface liquid (ASL), a protective fluid consisting of two layers: the periciliary layer (PCL), where motile cilia reside and generate fluid flow, and an overlying mucus layer. The complex structure and stratified nature of the PCL complicate both the prediction and quantification of fluid flow at the scale of individual or small groups of cilia, making it difficult to connect microscopic flows to macroscopic clearance. To tackle this challenge, we developed a novel methodology that involves un-caging a fluorescent compound to trace the flow field within the PCL. Fluorescence is activated at micrometric spots within the cilia layer, and displacement vectors and diffusion are recorded using high-speed video. Our experiments reveal a complex fluid transport pattern, with displacement velocity along the epithelial surface varying due to a non-uniform vertical flow field. Additionally, we observed that cilia expel fluid at their tips, a mechanism likely aimed at preventing pathogen access to the epithelium. Simulations, where cilia are modeled as arrays of rigid rods with length asymmetry, support these findings and offer new insights into the dynamics of fluid transport in the respiratory tract and the critical role of cilia coordination. Significance StatementThis study introduces an experimental pipeline to investigate fluid velocity and diffusion within the PCL of the human respiratory tract. By integrating experimental data with simulations of ciliary motion, we offer a robust framework to understand how cilia, depending on their collective beating properties, propel periciliary fluid in this structurally and dynamically complex environment. Our findings significantly expand the understanding of ciliary function, revealing that when cilia are beating coherently near cilia tips fluid is actively driven away from the epithelial surface. This suggests that coordinated cilia movement not only plays a key role in maintaining respiratory health by clearing mucus, but may also provide a dynamic barrier against pathogen entry.

biophysics↗

Surface crosslinking of virus-like particles increases resistance to proteases, low pH and mechanical stress for mucosal applications

AbstractVirus-like particles (VLPs) are emerging as nano-scaffolds in a variety of biomedical applications including the delivery of vaccine antigens to mucosal surfaces. These soft, colloidal, and proteinaceous structures (capsids) are nevertheless susceptible to mucosal environmental factors which limit their usefulness. We addressed this issue by crosslinking multiple capsid surface reactive residues using polyethylene glycol tethers. Surface crosslinking enhanced the colloidal stability and mechanical strength of VLPs against low pH, proteases, and mechanical agitation, while it did not interfere with function as vaccine. Chemical crosslinking thus offers a viable means to enhance the resilience of VLPs in mucosal applications.

biophysics↗

Assessing motile cilia coverage and beat frequency in mammalian in-vitro cell culture tissues

Cilia density, distribution and beating frequency are important parameters lung tissues, for example in diagnostics of Primary Ciliary Dyskinesia, and in the study of in vitro models, e.g. derived from induced Pluripotent Stem Cells. Video microscopy can be used to characterise these parameters, but most tools available at the moment are limited in the type of information they can provide, usually only describing the ciliary beat frequency of very small areas, while requiring human intervention and training for their use. We propose a novel and open source method to fully characterise cilia beating frequency and motile cilia coverage in an automated fashion without user intervention. We demonstrate the ability to differentiate between different coverage densities, identifying even small patches of cilia in a larger field of view, and to fully characterise the cilia beating frequency of all moving areas. We also show that the method can be used to combine multiple fields of view to better describe a sample without relying on small pre-selected regions of interest. This is released with a simple graphical user interface for file handling, enabling a full analysis of individual fields of view in a few minutes on a typical personal computer.

biophysics↗