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

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 i...

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Autores principales: Bondar, Alexey, Rybakova, Olga, Melcr, Josef, Dohnálek, Jan, Khoroshyy, Petro, Ticháček, Ondřej, Timr, Štěpán, Miclea, Paul, Sakhi, Alina, Marková, Vendula, Lazar, Josef
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7881160/
https://www.ncbi.nlm.nih.gov/pubmed/33580182
http://dx.doi.org/10.1038/s42003-021-01694-1
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author Bondar, Alexey
Rybakova, Olga
Melcr, Josef
Dohnálek, Jan
Khoroshyy, Petro
Ticháček, Ondřej
Timr, Štěpán
Miclea, Paul
Sakhi, Alina
Marková, Vendula
Lazar, Josef
author_facet Bondar, Alexey
Rybakova, Olga
Melcr, Josef
Dohnálek, Jan
Khoroshyy, Petro
Ticháček, Ondřej
Timr, Štěpán
Miclea, Paul
Sakhi, Alina
Marková, Vendula
Lazar, Josef
author_sort Bondar, Alexey
collection PubMed
description 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.
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spelling pubmed-78811602021-02-25 Quantitative linear dichroism imaging of molecular processes in living cells made simple by open software tools Bondar, Alexey Rybakova, Olga Melcr, Josef Dohnálek, Jan Khoroshyy, Petro Ticháček, Ondřej Timr, Štěpán Miclea, Paul Sakhi, Alina Marková, Vendula Lazar, Josef Commun Biol Article 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. Nature Publishing Group UK 2021-02-12 /pmc/articles/PMC7881160/ /pubmed/33580182 http://dx.doi.org/10.1038/s42003-021-01694-1 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Bondar, Alexey
Rybakova, Olga
Melcr, Josef
Dohnálek, Jan
Khoroshyy, Petro
Ticháček, Ondřej
Timr, Štěpán
Miclea, Paul
Sakhi, Alina
Marková, Vendula
Lazar, Josef
Quantitative linear dichroism imaging of molecular processes in living cells made simple by open software tools
title Quantitative linear dichroism imaging of molecular processes in living cells made simple by open software tools
title_full Quantitative linear dichroism imaging of molecular processes in living cells made simple by open software tools
title_fullStr Quantitative linear dichroism imaging of molecular processes in living cells made simple by open software tools
title_full_unstemmed Quantitative linear dichroism imaging of molecular processes in living cells made simple by open software tools
title_short Quantitative linear dichroism imaging of molecular processes in living cells made simple by open software tools
title_sort quantitative linear dichroism imaging of molecular processes in living cells made simple by open software tools
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7881160/
https://www.ncbi.nlm.nih.gov/pubmed/33580182
http://dx.doi.org/10.1038/s42003-021-01694-1
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