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Single‐step protease cleavage elution for identification of protein–protein interactions from GST pull‐down and mass spectrometry

Overview of attention for article published in PROTEOMICS, January 2014
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Title
Single‐step protease cleavage elution for identification of protein–protein interactions from GST pull‐down and mass spectrometry
Published in
PROTEOMICS, January 2014
DOI 10.1002/pmic.201300315
Pubmed ID
Authors

Lin Luo, Nathan P. King, Jeremy C. Yeo, Alun Jones, Jennifer L. Stow

Abstract

The study of protein-protein interactions is a major theme in biological disciplines. Pull-down or affinity-precipitation assays using GST fusion proteins have become one of the most common and valuable approaches to identify novel binding partners for proteins of interest (bait). Non-specific binding of prey proteins to the beads or to GST itself, however, inevitably complicates and impedes subsequent analysis of pull-down results. A variety of measures, each with inherent advantages and limitations, can minimise the extent of the background. This technical brief details and tests a modification of established GST pull-down protocols. By specifically eluting only the bait (minus the GST tag) and the associated non-specific binding proteins with a simple, single-step protease cleavage, a cleaner platform for downstream protein identification with MS is established. We present a proof of concept for this method, as evidenced by a GST pull-down/MS case study of the small guanosine triphosphatase (GTPase) Rab31 in which: (i) sensitivity was enhanced, (ii) a reduced level of background was observed, (iii) distinguishability of non-specific contaminant proteins from genuine binders was improved and (iv) a putative new protein-protein interaction was discovered. Our protease cleavage step is readily applicable to all further affinity tag pull-downs.

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Mendeley readers

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The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 55 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 21%
Student > Bachelor 12 21%
Student > Master 10 18%
Researcher 8 14%
Student > Doctoral Student 2 4%
Other 7 13%
Unknown 5 9%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 18 32%
Agricultural and Biological Sciences 17 30%
Medicine and Dentistry 5 9%
Immunology and Microbiology 3 5%
Energy 2 4%
Other 4 7%
Unknown 7 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 14 January 2014.
All research outputs
#20,656,161
of 25,373,627 outputs
Outputs from PROTEOMICS
#3,284
of 4,058 outputs
Outputs of similar age
#243,508
of 320,211 outputs
Outputs of similar age from PROTEOMICS
#33
of 49 outputs
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