Evidence map›Paper›PMID 36952203›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2023

Estimating the Interaction Strength Between PTS1-Peptides and Their Receptor PEX5 in Living Cells Using Flow-Cytometer-Based FRET (flowFRET) Measurements.

Bernhard Hochreiter, Johannes A Schmid, Johannes Berger, Markus Kunze

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 92% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors at 1 institution in 1 country.

Bernhard HochreiterInstitute for Vascular Biology and Thrombosis Research, Medical University of Vienna, Vienna, Austria. bernhard.hochreiter@meduniwien.ac.at.
Johannes A SchmidInstitute for Vascular Biology and Thrombosis Research, Medical University of Vienna, Vienna, Austria.
Johannes BergerDepartment of Pathobiology of the Nervous System, Medical University of Vienna, Vienna, Austria.
Markus KunzeDepartment of Pathobiology of the Nervous System, Medical University of Vienna, Vienna, Austria. markus.kunze@meduniwien.ac.at.
Medical University of Vienna · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The import of many peroxisomal matrix proteins is initiated by the interaction of type-1 peroxisomal targeting signals (PTS1) residing at the extreme C-terminus of cargo proteins and their receptor protein PEX5. This interaction has been amply investigated by biophysical methods using isolated proteins and peptides or heterologous systems such as two-hybrid assays. However, a recently developed novel application of Fluorescence resonance energy transfer (FRET) allows a quantifying measurement of this interaction in living cells. This method combines the systematic measurement of FRET-efficiency in a high number of cells with a well-suited normalization protocol and a fitting algorithm, which together allow the estimation of numerical values for the apparent interaction strength that correlates with other measures of binding strength but can be obtained under rather physiological conditions.

Indexed as

Fluorescence Resonance Energy TransferPeroxisomal Targeting SignalsCarrier ProteinsPeptidesPeroxisomesPeroxisome-Targeting Signal 1 ReceptorProtein TransportCarrier ProteinsPeptidesPeroxisomal Targeting SignalsPeroxisome-Targeting Signal 1 ReceptorFlow-cytometryflowFRETFRETInteraction strengthPeroxisomesPEX5Protein importPTS1

Identifiers

PMID36952203
OpenAlexW4360600898

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.