Evidence map›Paper›PMID 28879486›Full record

ArticleJournal of fluorescence2018

Förster Resonance Energy Transfer Study of Cytochrome c-Lipid Interactions.

Galyna P Gorbenko, Valeriya Trusova, Julian G Molotkovsky

Abstract read
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In one paragraph

Article in Journal of fluorescence, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 39% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

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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

3 authors at 2 institutions in 2 countries.

Galyna P GorbenkoDepartment of Nuclear and Medical Physics, V.N. Karazin Kharkiv National University, 4 Svobody Sq., Kharkiv, 61022, Ukraine. galyna.p.gorbenko@karazin.ua.
Valeriya TrusovaDepartment of Nuclear and Medical Physics, V.N. Karazin Kharkiv National University, 4 Svobody Sq., Kharkiv, 61022, Ukraine.
Julian G MolotkovskyShemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, 16/10 Miklukho-Maklaya Str., Moscow, 117997, Russia.
V. N. Karazin Kharkiv National University · UAInstitute of Bioorganic Chemistry · RU

Funding

Ministry of Education and Science of Ukraine 0116U000937
6 · The paper itself

Abstract

Specific interactions between a mitochondrial hemoprotein cytochrome c (cyt c) and cardiolipin, a lipid component of mitochondrial membrane, are crucial to electron shuttling and apoptotic activities of this protein. In the present study the Förster resonance energy transfer (FRET) between anthrylvinyl-labeled phosphatidylcholine as a donor and heme moiety of cyt c as an acceptor was employed to give a quantitative characterization of the protein binding to the model membranes from the mixtures of phosphatidylcholine (PC) with phosphatidylglycerol (PG), phosphatidylserine (PS) or cardiolipin (CL) in different molar ratios. The multiple arrays of the FRET data were globally analyzed in terms of the model of energy transfer in two-dimensional systems combined with the scaled particle adsorption model. The arguments in favor of the specificity of cyt c interactions with CL were obtained, including the higher adsorption potential and the deeper protein insertion in the lipid bilayer.

Indexed as

AnimalsCardiolipinsCytochromes cFluorescence Resonance Energy TransferHorsesKineticsLipid BilayersPhosphatidylcholinesPhosphatidylglycerolsPhosphatidylserinesProtein BindingSpectrometry, FluorescenceCardiolipinsCytochromes cLipid BilayersPhosphatidylcholinesPhosphatidylglycerolsPhosphatidylserinesCardiolipinCytochrome cFörster resonance energy transferProtein-lipid interactions

Identifiers

PMID28879486
OpenAlexW2753090610

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.