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Design of coiled-coil protein-origami cages that self-assemble in vitro and in vivo

Overview of attention for article published in Nature Biotechnology, October 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
5 news outlets
blogs
3 blogs
policy
1 policy source
twitter
101 X users
patent
1 patent
facebook
4 Facebook pages
wikipedia
1 Wikipedia page
googleplus
2 Google+ users
q&a
1 Q&A thread

Citations

dimensions_citation
144 Dimensions

Readers on

mendeley
353 Mendeley
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Title
Design of coiled-coil protein-origami cages that self-assemble in vitro and in vivo
Published in
Nature Biotechnology, October 2017
DOI 10.1038/nbt.3994
Pubmed ID
Authors

Ajasja Ljubetič, Fabio Lapenta, Helena Gradišar, Igor Drobnak, Jana Aupič, Žiga Strmšek, Duško Lainšček, Iva Hafner-Bratkovič, Andreja Majerle, Nuša Krivec, Mojca Benčina, Tomaž Pisanski, Tanja Ćirković Veličković, Adam Round, José María Carazo, Roberto Melero, Roman Jerala

Abstract

Polypeptides and polynucleotides are natural programmable biopolymers that can self-assemble into complex tertiary structures. We describe a system analogous to designed DNA nanostructures in which protein coiled-coil (CC) dimers serve as building blocks for modular de novo design of polyhedral protein cages that efficiently self-assemble in vitro and in vivo. We produced and characterized >20 single-chain protein cages in three shapes-tetrahedron, four-sided pyramid, and triangular prism-with the largest containing >700 amino-acid residues and measuring 11 nm in diameter. Their stability and folding kinetics were similar to those of natural proteins. Solution small-angle X-ray scattering (SAXS), electron microscopy (EM), and biophysical analysis confirmed agreement of the expressed structures with the designs. We also demonstrated self-assembly of a tetrahedral structure in bacteria, mammalian cells, and mice without evidence of inflammation. A semi-automated computational design platform and a toolbox of CC building modules are provided to enable the design of protein cages in any polyhedral shape.

X Demographics

X Demographics

The data shown below were collected from the profiles of 101 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 353 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 353 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 88 25%
Researcher 51 14%
Student > Bachelor 39 11%
Student > Master 33 9%
Student > Doctoral Student 16 5%
Other 48 14%
Unknown 78 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 105 30%
Chemistry 58 16%
Agricultural and Biological Sciences 52 15%
Engineering 13 4%
Materials Science 10 3%
Other 34 10%
Unknown 81 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 126. 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 16 January 2024.
All research outputs
#334,676
of 25,692,343 outputs
Outputs from Nature Biotechnology
#766
of 8,603 outputs
Outputs of similar age
#7,006
of 336,267 outputs
Outputs of similar age from Nature Biotechnology
#10
of 89 outputs
Altmetric has tracked 25,692,343 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,603 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.4. This one has done particularly well, scoring higher than 91% 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 336,267 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 97% of its contemporaries.
We're also able to compare this research output to 89 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.