Evidence map›Paper›PMID 30824760›Full record

ArticleScientific reports2019

A micropatterning platform for quantifying interaction kinetics between the T cell receptor and an intracellular binding protein.

Viktoria Motsch, Mario Brameshuber, Florian Baumgart, Gerhard J Schütz, Eva Sevcsik

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

10 citing papers in PubMed, 17 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

5 authors at 1 institution in 1 country.

Viktoria MotschInstitute of Applied Physics, TU Wien, Wiedner Hauptstrasse 8-10, 1040, Vienna, Austria.
Mario BrameshuberInstitute of Applied Physics, TU Wien, Wiedner Hauptstrasse 8-10, 1040, Vienna, Austria.ORCID 0000-0001-8672-2255
Florian BaumgartInstitute of Applied Physics, TU Wien, Wiedner Hauptstrasse 8-10, 1040, Vienna, Austria.ORCID 0000-0003-1352-8632
Gerhard J SchützInstitute of Applied Physics, TU Wien, Wiedner Hauptstrasse 8-10, 1040, Vienna, Austria.ORCID 0000-0003-1542-1089
Eva SevcsikInstitute of Applied Physics, TU Wien, Wiedner Hauptstrasse 8-10, 1040, Vienna, Austria. eva.sevcsik@tuwien.ac.at.ORCID 0000-0002-2155-1675
TU Wien · AT

Funding

Austrian Science Fund FWF P 25730Austrian Science Fund FWF P 26337Austrian Science Fund FWF V 538
6 · The paper itself

Abstract

A complete understanding of signaling processes at the plasma membrane depends on a quantitative characterization of the interactions of the involved proteins. Fluorescence recovery after photobleaching (FRAP) is a widely used and convenient technique to obtain kinetic parameters on protein interactions in living cells. FRAP experiments to determine unbinding time constants for proteins at the plasma membrane, however, are often hampered by non-specific contributions to the fluorescence recovery signal. On the example of the interaction between the T cell receptor (TCR) and the Syk kinase ZAP70, we present here an approach based on protein micropatterning that allows the elimination of such non-specific contributions and considerably simplifies analysis of FRAP data. Specifically, detection and reference areas are created within single cells, each being either enriched or depleted in TCR, which permits the isolation of ZAP70-TCR binding in a straight-forward manner. We demonstrate the applicability of our method by comparing it to a conventional FRAP approach.

Indexed as

Fluorescence Recovery After PhotobleachingHumansJurkat CellsProtein BindingReceptors, Antigen, T-CellZAP-70 Protein-Tyrosine KinaseReceptors, Antigen, T-CellZAP70 protein, humanZAP-70 Protein-Tyrosine Kinase

Identifiers

PMID30824760
PMCPMC6397226
OpenAlexW2919702688

What OpenQuestion holds

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LicenceCC BY
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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.