Revised Diffusion Law Permits Quantitative Nanoscale Characterization of Membrane Organization

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61388955%3A_____%2F25%3A00635958" target="_blank" >RIV/61388955:_____/25:00635958 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216208:11310/25:10502245 RIV/00216208:11320/25:10502245

Výsledek na webu

<a href="https://hdl.handle.net/11104/0366964" target="_blank" >https://hdl.handle.net/11104/0366964</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1021/acs.analchem.5c00021" target="_blank" >10.1021/acs.analchem.5c00021</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Revised Diffusion Law Permits Quantitative Nanoscale Characterization of Membrane Organization

Popis výsledku v původním jazyce

The formation of functional nanoscopic domains is an inherent property of plasma membranes. Stimulated emission depletion combined with fluorescence correlation spectroscopy (STED-FCS) has been previously used to identify such domains. However, the information obtained by STED-FCS has been limited to the presence of such domains while crucial parameters have not been accessible, such as size (R d), the fraction of occupied membrane surface (f), in-membrane lipid diffusion inside (D in) and outside (D out) the nanodomains as well as their self-diffusion (D d). Here, we introduce a quantitative approach based on a revised interpretation of the diffusion law. By analyzing experimentally recorded STED-FCS diffusion law plots using a comprehensive library of simulated diffusion law plots, we extract these five parameters from STED-FCS data. That approach is verified on ganglioside nanodomains in giant unilamellar vesicles, validating the Saffman-Delbruck assumption for D d. STED-FCS data in both plasma membranes of living PtK2 cells and giant plasma membrane vesicles are examined, and a quantitative framework for molecular diffusion modes in biological membranes is presented.

Název v anglickém jazyce

Revised Diffusion Law Permits Quantitative Nanoscale Characterization of Membrane Organization

Popis výsledku anglicky

The formation of functional nanoscopic domains is an inherent property of plasma membranes. Stimulated emission depletion combined with fluorescence correlation spectroscopy (STED-FCS) has been previously used to identify such domains. However, the information obtained by STED-FCS has been limited to the presence of such domains while crucial parameters have not been accessible, such as size (R d), the fraction of occupied membrane surface (f), in-membrane lipid diffusion inside (D in) and outside (D out) the nanodomains as well as their self-diffusion (D d). Here, we introduce a quantitative approach based on a revised interpretation of the diffusion law. By analyzing experimentally recorded STED-FCS diffusion law plots using a comprehensive library of simulated diffusion law plots, we extract these five parameters from STED-FCS data. That approach is verified on ganglioside nanodomains in giant unilamellar vesicles, validating the Saffman-Delbruck assumption for D d. STED-FCS data in both plasma membranes of living PtK2 cells and giant plasma membrane vesicles are examined, and a quantitative framework for molecular diffusion modes in biological membranes is presented.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10403 - Physical chemistry

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Analytical Chemistry

ISSN

0003-2700

e-ISSN

1520-6882

Svazek periodika

97

Číslo periodika v rámci svazku

22

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

8

Strana od-do

11478-11485

Kód UT WoS článku

001498667900001

EID výsledku v databázi Scopus

2-s2.0-105006812288