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

The result's identifiers

  • Result code in 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>

  • Alternative codes found

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

  • Result on the web

    <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>

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language 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. 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

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10610 - Biophysics

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

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

Others

  • Publication year

    2021

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Communications Biology

  • ISSN

    2399-3642

  • e-ISSN

    2399-3642

  • Volume of the periodical

    4

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    12

  • Pages from-to

    189

  • UT code for WoS article

    000620241900002

  • EID of the result in the Scopus database

    2-s2.0-85100869737