Biology subjects

Shaebani, R.

Publications and source records attributed to Shaebani, R..

4 recordsLinked to original sources

bioRxiv2025

Kinesin-induced buckling reveals the limits of microtubule self-repair

Microtubules are stiff cytoskeletal polymers whose ability to rapidly switch between growth and disassembly relies on a metastable lattice. This metastability is also reflected in their sensitivity to environmental conditions and in intrinsic lattice dynamics, where spontaneous tubulin loss is balanced by tubulin incorporation from solution - a process that also enables microtubules to self-repair when damaged. Whether such intrinsic self-repair is sufficient to preserve microtubule integrity during dynamic molecular-motor induced buckling, which frequently occurs in cells, remains unclear. Here, we show that kinesin-driven microtubule buckling in vitro induces severe lattice damage, leading to extensive tubulin incorporation. In many cases, however, the damage exceeds the microtubules capacity for self-repair, resulting in breakage. In contrast, microtubules survive continuous buckling substantially longer in the presence of intracellular factors. Our results identify the limits of intrinsic microtubule self-repair and demonstrate that additional cellular mechanisms are essential to maintain microtubule integrity under sustained mechanical load.

biophysics↗

bioRxiv2025

The mechanism how Pretubulysin-induced microtubule disassembly improves T cell search efficiency

To clean tissue from tumorigenic and infected cells, cytotoxic T lymphocytes (CTLs) must navigate confined environments in vivo, locate the infected cells and eliminate them. Impaired CTL migration towards the tumor can limit the efficacy of immunotherapy. Microtubules (MTs) have emerged as promising targets, because destabilizing MTs enhances T-cell migration and subsequent killing, yet the underlying mechanisms are poorly understood. Here, we use pretubulysin, a potent MT depolymerizer, to uncover how MT dynamics regulate CTL motility. Complete MT disassembly markedly increased CTL infiltration and migration in 3D matrices. To investigate how altered migration affects target elimination, we employed a persistent random-walk model parameterized solely with experimental motility data. The model shows that the increase in speed and persistence induced by pretubulysin explains enhanced search efficiency increasing the encounter rate of CTLs with target cells. The simulations also predict how these gains in search efficiency scale with tissue thickness and CTL density. Mechanistically, MT depolymerization in activated CTLs triggers localized actomyosin accumulation at the uropod. This enhances rear contraction forces and promotes faster, more persistent migration and efficient search. Our findings clarify how MT dynamics influence CTL ability to eliminate targets in 3D environments and highlights the potential of MT-targeting agents such as pretubulysin to optimize T cell-based immunotherapies.

cell biology↗

bioRxiv2024

Tracking the Morphological Evolution of Neuronal Dendrites by First-Passage Analysis

A high degree of structural complexity arises in dynamic neuronal dendrites due to extensive branching patterns and diverse spine morphologies, which enable the nervous system to adjust function, construct complex input pathways and thereby enhance the computational power of the system. Owing to the determinant role of dendrite morphology in the functionality of the nervous system, recognition of pathological changes due to neurodegenerative disorders is of crucial importance. We show that the statistical analysis of a temporary signal generated by cargos that have diffusively passed through the complex dendritic structure yields vital information about dendrite morphology. As a feasible scenario, we propose engineering mRNA-carrying multilamellar liposomes to diffusively reach the soma and release mRNAs, which are translated into a specific protein upon encountering ribosomes. The concentration of this protein over a large population of neurons can be externally measured, as a detectable temporary signal. Using a stochastic coarse-grained approach for first-passage through dendrites, we connect the key morphological properties affected by neurodegenerative diseases--including the density and size of spines, the extent of the tree, and the segmental increase of dendrite diameter towards soma--to the characteristics of the evolving signal. Thus, we establish a direct link between the dendrite morphology and the statistical characteristics of the detectable signal. Our approach provides a fast noninvasive measurement technique to indirectly extract vital information about the morphological evolution of dendrites in the course of neurodegenerative disease progression.

neuroscience↗

bioRxiv2024

Growth of Stress-Responsive Bacteria in 3D Colonies under Confining Pressure

We numerically study three-dimensional colonies of nonmotile stress-responsive bacteria growing under confining isotropic pressure in a nutrient-rich environment. We develop a novel simulation method to demonstrate how imposing an external pressure leads to a denser aggregate and strengthens the mechanical interactions between bacteria. Unlike rigid confinements that prevent bacterial growth, confining pressure acts as a soft constraint and allows colony expansion with a nearly linear long-term population growth and colony size. Enhancing the mechanosensitivity reduces instantaneous bacterial growth rates and the overall colony size, though its impact is modest compared to pressure for our studied set of biologically relevant parameter values. The doubling time grows exponentially at low mechanosensitivity or pressure in our bacterial growth model. We provide an analytical estimate of the doubling time and develop a population dynamics model consistent with our simulations. Our findings align with previous experimental results for E. coli colonies under pressure. Understanding the growth dynamics of stress-responsive bacteria under mechanical stresses provides insight into their adaptive response to varying environmental conditions.

biophysics↗