Quantitative linear dichroism imaging of molecular processes in living cells made simple by open software tools

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61388971%3A_____%2F21%3A00542218" target="_blank" >RIV/61388971:_____/21:00542218 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61388963:_____/21:00540701 RIV/00216208:11310/21:10439794

Výsledek na webu

<a href="https://www.nature.com/articles/s42003-021-01694-1" target="_blank" >https://www.nature.com/articles/s42003-021-01694-1</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1038/s42003-021-01694-1" target="_blank" >10.1038/s42003-021-01694-1</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Quantitative linear dichroism imaging of molecular processes in living cells made simple by open software tools

Popis výsledku v původním jazyce

Fluorescence-detected linear dichroism microscopy allows observing various molecular processes in living cells, as well as obtaining quantitative information on orientation of fluorescent molecules associated with cellular features. Such information can provide insights into protein structure, aid in development of genetically encoded probes, and allow determinations of lipid membrane properties. However, quantitating and interpreting linear dichroism in biological systems has been laborious and unreliable. Here we present a set of open source ImageJ-based software tools that allow fast and easy linear dichroism visualization and quantitation, as well as extraction of quantitative information on molecular orientations, even in living systems. The tools were tested on model synthetic lipid vesicles and applied to a variety of biological systems, including observations of conformational changes during G-protein signaling in living cells, using fluorescent proteins. Our results show that our tools and model systems are applicable to a wide range of molecules and polarization-resolved microscopy techniques, and represent a significant step towards making polarization microscopy a mainstream tool of biological imaging. Expanding on their previous work, Bondar et al present open source software tools to reliably quantify linear dichroism and determine molecular orientations. They demonstrate the utility of the tools by imaging synthetic lipid vesicles and as well as fluorescently labelled proteins in living cells

Název v anglickém jazyce

Quantitative linear dichroism imaging of molecular processes in living cells made simple by open software tools

Popis výsledku anglicky

Fluorescence-detected linear dichroism microscopy allows observing various molecular processes in living cells, as well as obtaining quantitative information on orientation of fluorescent molecules associated with cellular features. Such information can provide insights into protein structure, aid in development of genetically encoded probes, and allow determinations of lipid membrane properties. However, quantitating and interpreting linear dichroism in biological systems has been laborious and unreliable. Here we present a set of open source ImageJ-based software tools that allow fast and easy linear dichroism visualization and quantitation, as well as extraction of quantitative information on molecular orientations, even in living systems. The tools were tested on model synthetic lipid vesicles and applied to a variety of biological systems, including observations of conformational changes during G-protein signaling in living cells, using fluorescent proteins. Our results show that our tools and model systems are applicable to a wide range of molecules and polarization-resolved microscopy techniques, and represent a significant step towards making polarization microscopy a mainstream tool of biological imaging. Expanding on their previous work, Bondar et al present open source software tools to reliably quantify linear dichroism and determine molecular orientations. They demonstrate the utility of the tools by imaging synthetic lipid vesicles and as well as fluorescently labelled proteins in living cells

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10610 - Biophysics

Projekt

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

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2021

Kód důvěrnosti údajů

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

Název periodika

Communications Biology

ISSN

2399-3642

e-ISSN

2399-3642

Svazek periodika

4

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

12

Strana od-do

189

Kód UT WoS článku

000620241900002

EID výsledku v databázi Scopus

2-s2.0-85100869737