Evidence map›Paper›PMID 33143123›Full record

ArticleCells2020

A Novel FRET Approach Quantifies the Interaction Strength of Peroxisomal Targeting Signals and Their Receptor in Living Cells.

Bernhard Hochreiter, Cheng-Shoong Chong, Andreas Hartig, Sebastian Maurer-Stroh, Johannes Berger, Johannes A Schmid, Markus Kunze

Abstract read
In one paragraph

Article in Cells, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

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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

7 authors.

Bernhard HochreiterCenter for Physiology and Pharmacology, Institute of Vascular Biology and Thrombosis Research, Medical University of Vienna, 1090 Vienna, Austria.ORCID 0000-0002-9745-5399
Cheng-Shoong ChongBioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), Singapore 138671, Singapore.ORCID 0000-0002-1279-8641
Andreas HartigDepartment of Biochemistry and Cell Biology, Max Perutz Laboratories, University of Vienna, 1030 Vienna, Austria.ORCID 0000-0003-3334-2763
Sebastian Maurer-StrohBioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), Singapore 138671, Singapore.ORCID 0000-0003-0813-9640
Johannes BergerCenter for Brain Research, Department of Pathobiology of the Nervous System, Medical University of Vienna, 1090 Vienna, Austria.ORCID 0000-0003-0182-2658
Johannes A SchmidCenter for Physiology and Pharmacology, Institute of Vascular Biology and Thrombosis Research, Medical University of Vienna, 1090 Vienna, Austria.ORCID 0000-0002-6586-3507
Markus KunzeCenter for Brain Research, Department of Pathobiology of the Nervous System, Medical University of Vienna, 1090 Vienna, Austria.

Funding

Austrian Science Fund FWF I 2738
6 · The paper itself

Abstract

Measuring Förster-resonance-energy-transfer (FRET) efficiency allows the investigation of protein-protein interactions (PPI), but extracting quantitative measures of affinity necessitates highly advanced technical equipment or isolated proteins. We demonstrate the validity of a recently suggested novel approach to quantitatively analyze FRET-based experiments in living mammalian cells using standard equipment using the interaction between different type-1 peroxisomal targeting signals (PTS1) and their soluble receptor peroxin 5 (PEX5) as a model system. Large data sets were obtained by flow cytometry coupled FRET measurements of cells expressing PTS1-tagged EGFP together with mCherry fused to the PTS1-binding domain of PEX5, and were subjected to a fitting algorithm extracting a quantitative measure of the interaction strength. This measure correlates with results obtained by in vitro techniques and a two-hybrid assay, but is unaffected by the distance between the fluorophores. Moreover, we introduce a live cell competition assay based on this approach, capable of depicting dose- and affinity-dependent modulation of the PPI. Using this system, we demonstrate the relevance of a sequence element next to the core tripeptide in PTS1 motifs for the interaction strength between PTS1 and PEX5, which is supported by a structure-based computational prediction of the binding energy indicating a direct involvement of this sequence in the interaction.

Indexed as

Peroxisomal Targeting SignalsAmino Acid MotifsAmino Acid SequenceAnimalsCell CompetitionCell SurvivalFluorescence Resonance Energy TransferHeLa CellsHumansMiceModels, MolecularPeptidesPeroxisome-Targeting Signal 1 ReceptorProtein BindingProtein DomainsPeptidesPeroxisomal Targeting SignalsPeroxisome-Targeting Signal 1 Receptorflow cytometryFRETlive-cell measurementsperoxisomal targeting signalperoxisomesPEX5

Identifiers

PMID33143123
PMCPMC7693011

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Registered trials

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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.