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Koikkara, J.

Publications and source records attributed to Koikkara, J..

2 recordsLinked to original sources

Direct Membrane Penetration of Oligoarginines by Fluorescence and Cryo-electron Microscopy Combined with Molecular Simulations

Arginine-rich peptides are short amino acid chains capable of spontaneously crossing cellular membranes, with great potential for drug or other cargo delivery. Yet, the mechanisms underlying their cellular penetration are not fully understood. Here, we investigate the modes of action of nonaarginine (R9) across membranes of increasing compositional and biological complexity. We combine computational, fluorescence microscopy, and cryo-EM approaches to both visualize the membrane structural changes arising from peptide-lipid interactions and provide a molecular rationale for the observed effects. In large unilamellar vesicles, R9 binds preferentially to anionic and PE-rich membranes, induces lipid reorganization, and drives pronounced remodelling, including budding, bifurcations, and time-dependent formation of multilamellar stacks. In cell-derived extracellular vesicles, R9-induced remodelling is largely confined to bilamellar bifurcations. In live cells, fluorescent R9 forms surface puncta that precede cytosolic entry. Correlative cryo-fluorescence and electron tomography reveals that these puncta correspond to strongly folded, multilamellar membrane structures. We propose that these seemingly contrasting observations can be reconciled within a single R9 mechanism of action, involving membrane folding and stacking, where the different observed morphologies arise from the size of the accessible membrane reservoir.

biophysics↗

From Molecular Insight to Mesoscale MembraneRemodeling: Curvature Generation byArginine-Rich Cell-Penetrating Peptides

The enhanced cell penetration ability of arginine-rich peptides, such as nonaarginine (R9), compared to their lysine-rich counterparts remains incompletely understood. Atomistic simulations reveal that R9 binds significantly more strongly ({approx} 20 kJ/mol) and penetrates deeper into anionic lipid headgroup region than its lysine equivalent. This enhanced interaction translates into a stronger induction of negative membrane curvature by R9. We combine these data to construct a model of peptide binding and curvature induction in fusogenic lipid mixtures and employ a multiscale simulation approach, combining atomistic molecular dynamics (MD) with mesoscopic Monte Carlo (MC) simulations, to dissect the molecular basis and morphological consequences of arginine specificity. The results show that stable membrane invaginations, as observed in studies of cell penetration, require excess membrane and are stable only for R9 (outside of the domain of stability of the Helfrich stomatocyte). By analyzing lipid and protein sorting coupled to the membrane structure, we explain the interplay of Gaussian and mean curvature in providing a mechanistic basis for the initial membrane deformation events potentially involved in Arginine Magic cell entry pathways.

biophysics↗