Evidence map›Paper›PMID 33580182›Full record

ArticleCommunications biology2021

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

Alexey Bondar, Olga Rybakova, Josef Melcr, Jan Dohnálek, Petro Khoroshyy, Ondřej Ticháček, Štěpán Timr, Paul Miclea, Alina Sakhi, Vendula Marková and 1 more

Open access · goldAbstract readVideo-Audio Media
In one paragraph

Article in Communications biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.0field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Linear Dichroism Measurements for the Study of Protein-DNA Interactions.International journal of molecular sciences · 2023
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 6 institutions in 4 countries.

Alexey BondarInstitute of Organic Chemistry and Biochemistry, Czech Academy of Science, Praha 6, Czech Republic.ORCID 0000-0002-1980-2930
Olga RybakovaInstitute of Organic Chemistry and Biochemistry, Czech Academy of Science, Praha 6, Czech Republic.ORCID 0000-0001-9467-1208
Josef MelcrInstitute of Organic Chemistry and Biochemistry, Czech Academy of Science, Praha 6, Czech Republic.ORCID 0000-0003-4729-3990
Jan DohnálekInstitute of Organic Chemistry and Biochemistry, Czech Academy of Science, Praha 6, Czech Republic.
Petro KhoroshyyInstitute of Organic Chemistry and Biochemistry, Czech Academy of Science, Praha 6, Czech Republic.ORCID 0000-0001-5225-9805
Ondřej TicháčekInstitute of Organic Chemistry and Biochemistry, Czech Academy of Science, Praha 6, Czech Republic.ORCID 0000-0002-3676-8367
Štěpán TimrInstitute of Organic Chemistry and Biochemistry, Czech Academy of Science, Praha 6, Czech Republic.
Paul MicleaInstitute of Organic Chemistry and Biochemistry, Czech Academy of Science, Praha 6, Czech Republic.
Alina SakhiInstitute of Organic Chemistry and Biochemistry, Czech Academy of Science, Praha 6, Czech Republic.
Vendula MarkováInstitute of Organic Chemistry and Biochemistry, Czech Academy of Science, Praha 6, Czech Republic.
Josef LazarInstitute of Organic Chemistry and Biochemistry, Czech Academy of Science, Praha 6, Czech Republic. lazar@uochb.cas.cz.ORCID 0000-0002-6285-3995
Czech Academy of Sciences, Institute of Microbiology · CZCzech Academy of Sciences, Institute of Organic Chemistry and Biochemistry · CZCentre National de la Recherche Scientifique · FRCharles University · CZCzech Academy of Sciences · CZUniversity of Groningen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Image Processing, Computer-AssistedMicroscopy, FluorescenceMicroscopy, PolarizationSingle-Cell AnalysisSoftware DesignFluorescent DyesGTP-Binding ProteinsHEK293 CellsHumansLuminescent ProteinsMolecular Dynamics SimulationRecombinant Fusion ProteinsSignal TransductionFluorescent DyesGTP-Binding ProteinsLuminescent ProteinsRecombinant Fusion Proteins

Identifiers

PMID33580182
PMCPMC7881160
OpenAlexW3115708802

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.