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ProLIF – quantitative integrin protein–protein interactions and synergistic membrane effects on proteoliposomes

Overview of attention for article published in Journal of Cell Science, August 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

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17 X users

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31 Mendeley
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Article details
Title
ProLIF – quantitative integrin protein–protein interactions and synergistic membrane effects on proteoliposomes
Published in
Journal of Cell Science, August 2018
DOI 10.1242/jcs.214270
Pubmed ID
Authors
Abstract

Integrin transmembrane receptors control a wide range of biological interactions by triggering the assembly of large multiprotein complexes at their cytoplasmic interface. Diverse methods have been used to investigate interactions between integrins and intracellular proteins, and predominantly include peptide-based pulldowns and biochemical immuno-isolations from detergent-solubilised cell lysates. However, quantitative methods to probe integrin-protein interactions in a more biologically relevant context where the integrin is embedded within a lipid bilayer have been lacking. Here, we describe 'protein-liposome interactions by flow cytometry' (denoted ProLIF), a technique to reconstitute recombinant integrin transmembrane domains (TMDs) and cytoplasmic tail (CT) fragments in liposomes as individual subunits or as αβ heterodimers and, via flow cytometry, allow rapid and quantitative measurement of protein interactions with these membrane-embedded integrins. Importantly, the assay can analyse binding of fluorescent proteins directly from cell lysates without further purification steps. Moreover, the effect of membrane composition, such as PI(4,5)P2 incorporation, on protein recruitment to the integrin CTs can be analysed. ProLIF requires no specific instrumentation and can be applied to measure a broad range of membrane-dependent protein-protein interactions with the potential for high-throughput/multiplex analyses.This article has associated First Person interviews with the first authors of the paper (see doi: 10.1242/jcs.223644 and doi: 10.1242/jcs.223719).

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X Demographics

X Demographics

The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 6 19%
Student > Ph. D. Student 4 13%
Student > Master 3 10%
Other 2 6%
Professor 2 6%
Other 5 16%
Unknown 9 29%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 15 48%
Medicine and Dentistry 3 10%
Agricultural and Biological Sciences 2 6%
Materials Science 1 3%
Engineering 1 3%
Other 0 0%
Unknown 9 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 March 2019.
All research outputs
#3,993,760
of 27,764,304 outputs
Outputs from Journal of Cell Science
#1,011
of 9,467 outputs
Outputs of similar age
#68,560
of 346,982 outputs
Outputs of similar age from Journal of Cell Science
#16
of 110 outputs
Altmetric has tracked 27,764,304 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,467 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has done well, scoring higher than 89% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 346,982 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 110 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.