Dissecting the mechanisms of environment sensitivity of smart probes for quantitative assessment of membrane properties.
Fiche publication
Date publication
septembre 2022
Journal
Open biology
Auteurs
Membres identifiés du Cancéropôle Est :
Dr KLYMCHENKO Andrey
Tous les auteurs :
Ragaller F, Andronico L, Sykora J, Kulig W, Rog T, Urem YB, Abhinav, Danylchuk DI, Hof M, Klymchenko A, Amaro M, Vattulainen I, Sezgin E
Lien Pubmed
Résumé
The plasma membrane, as a highly complex cell organelle, serves as a crucial platform for a multitude of cellular processes. Its collective biophysical properties are largely determined by the structural diversity of the different lipid species it accommodates. Therefore, a detailed investigation of biophysical properties of the plasma membrane is of utmost importance for a comprehensive understanding of biological processes occurring therein. During the past two decades, several environment-sensitive probes have been developed and become popular tools to investigate membrane properties. Although these probes are assumed to report on membrane order in similar ways, their individual mechanisms remain to be elucidated. In this study, using model membrane systems, we characterized the probes Pro12A, NR12S and NR12A in depth and examined their sensitivity to parameters with potential biological implications, such as the degree of lipid saturation, double bond position and configuration ( versus ), phospholipid headgroup and cholesterol content. Applying spectral imaging together with atomistic molecular dynamics simulations and time-dependent fluorescent shift analyses, we unravelled individual sensitivities of these probes to different biophysical properties, their distinct localizations and specific relaxation processes in membranes. Overall, Pro12A, NR12S and NR12A serve together as a toolbox with a wide range of applications allowing to select the most appropriate probe for each specific research question.
Mots clés
MD simulation, environment-sensitive probes, lipid saturation, model membranes, spectral imaging, time-resolved emission shift
Référence
Open Biol. 2022 09;12(9):220175