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Discrimination among Protein Variants Using an Unfoldase-Coupled Nanopore

Overview of attention for article published in ACS Nano, December 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

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12 X users
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6 patents

Citations

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113 Dimensions

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143 Mendeley
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Title
Discrimination among Protein Variants Using an Unfoldase-Coupled Nanopore
Published in
ACS Nano, December 2014
DOI 10.1021/nn5049987
Pubmed ID
Authors

Jeff Nivala, Logan Mulroney, Gabriel Li, Jacob Schreiber, Mark Akeson

Abstract

Previously we showed that the protein unfoldase ClpX could facilitate translocation of individual proteins through the α-hemolysin nanopore. This results in ionic current fluctuations that correlate with unfolding and passage of intact protein strands through the pore lumen. It is plausible that this technology could be used to identify protein domains and structural modifications at the single-molecule level that arise from subtle changes in primary amino acid sequence (e.g. point mutations). As a test, we engineered proteins bearing well-characterized domains connected in series along an ~700 amino acid strand. Point mutations in a titin immunoglobulin domain (titin I27) and point mutations, proteolytic cleavage, and rearrangement of beta-strands in green fluorescent protein (GFP), caused ionic current pattern changes for single strands predicted by bulk phase and force spectroscopy experiments. Among these variants, individual proteins could be classified at 86-99% accuracy using standard machine learning tools. We conclude that a ClpXP-nanopore device can discriminate among distinct protein domains, and that sequence-dependent variations within those domains are detectable.

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
United States 1 <1%
Netherlands 1 <1%
Unknown 140 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 39 27%
Student > Master 21 15%
Student > Doctoral Student 12 8%
Student > Bachelor 11 8%
Researcher 11 8%
Other 16 11%
Unknown 33 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 38 27%
Chemistry 20 14%
Agricultural and Biological Sciences 17 12%
Physics and Astronomy 15 10%
Engineering 11 8%
Other 8 6%
Unknown 34 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 24 May 2022.
All research outputs
#1,686,879
of 22,771,140 outputs
Outputs from ACS Nano
#1,638
of 12,802 outputs
Outputs of similar age
#25,047
of 360,790 outputs
Outputs of similar age from ACS Nano
#30
of 212 outputs
Altmetric has tracked 22,771,140 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,802 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one has done well, scoring higher than 87% 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 360,790 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 212 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.