Evidence map›Paper›PMID 24655506›Full record

ArticleBiophysical journal2014

The FRET signatures of noninteracting proteins in membranes: simulations and experiments.

Christopher King, Sarvenaz Sarabipour, Patrick Byrne, Daniel J Leahy, Kalina Hristova

Open access · bronzeAbstract read
In one paragraph

Article in Biophysical journal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed
5.6field-weighted citation impact, top 3% 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

63 citing papers in PubMed, 94 citations in OpenAlex.

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  12. Interactions between Ligand-Bound EGFR and VEGFR2.Journal of molecular biology · 2021
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3 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Christopher KingProgram in Molecular Biophysics, Johns Hopkins University, Baltimore, Maryland.
Sarvenaz SarabipourDepartment of Materials Sciences and Engineering, Johns Hopkins University, Baltimore, Maryland.
Patrick ByrneProgram in Molecular Biophysics, Johns Hopkins University, Baltimore, Maryland.
Daniel J LeahyProgram in Molecular Biophysics, Johns Hopkins University, Baltimore, Maryland; Department of Biophysics and Biophysical Chemistry, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Kalina HristovaDepartment of Materials Sciences and Engineering, Johns Hopkins University, Baltimore, Maryland; Program in Molecular Biophysics, Johns Hopkins University, Baltimore, Maryland. Electronic address: kh@jhu.edu.
Johns Hopkins University · US

Funding

Structural Studies of Growth Factor Receptor FunctionR01GM099321 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI LEAHY, DANIEL J · 2011 to 2018
$2.6M
QI-FRET: a new tool in Receptor Tyrosine Kinase researchR01GM095930 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI HRISTOVA, KALINA · 2011 to 2014
$1.4M
NIGMS NIH HHS GM095930NIGMS NIH HHS GM099321NIGMS NIH HHS R01 GM095930NIGMS NIH HHS R01 GM099321
6 · The paper itself

Abstract

Förster resonance energy transfer (FRET) experiments are often used to study interactions between integral membrane proteins in cellular membranes. However, in addition to the FRET of sequence-specific interactions, these experiments invariably record a contribution due to proximity FRET, which occurs when a donor and an acceptor approach each other by chance within distances of ∼100 Å. This effect does not reflect specific interactions in the membrane and is frequently unappreciated, despite the fact that its magnitude can be significant. Here we develop a computational description of proximity FRET, simulating the cases of proximity FRET when fluorescent proteins are used to tag monomeric, dimeric, trimeric, and tetrameric membrane proteins, as well as membrane proteins existing in monomer-dimer equilibria. We also perform rigorous experimental measurements of this effect, by identifying membrane receptors that do not associate in mammalian membranes. We measure the FRET efficiencies between yellow fluorescent protein and mCherry-tagged versions of these receptors in plasma-membrane-derived vesicles as a function of receptor concentration. Finally, we demonstrate that the experimental measurements are well described by our predictions. The work presented here brings additional rigor to FRET-based studies of membrane protein interactions, and should have broad utility in membrane biophysics research.

Indexed as

AnimalsCell MembraneCHO CellsComputer SimulationCricetinaeCricetulusErb-b2 Receptor Tyrosine KinasesFluorescence Resonance Energy TransferGreen Fluorescent ProteinsHEK293 CellsHumansProtein BindingProtein MultimerizationReceptor, Fibroblast Growth Factor, Type 1ERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesGreen Fluorescent ProteinsReceptor, Fibroblast Growth Factor, Type 1

Identifiers

PMID24655506
PMCPMC3984992
OpenAlexW1970635900

What OpenQuestion holds

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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.