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Protein Evolution by Molecular Tinkering: Diversification of the Nuclear Receptor Superfamily from a Ligand-Dependent Ancestor

Overview of attention for article published in PLoS Biology, October 2010
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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 (95th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

blogs
3 blogs
twitter
2 X users
facebook
1 Facebook page
wikipedia
5 Wikipedia pages
googleplus
1 Google+ user

Citations

dimensions_citation
214 Dimensions

Readers on

mendeley
275 Mendeley
citeulike
2 CiteULike
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Title
Protein Evolution by Molecular Tinkering: Diversification of the Nuclear Receptor Superfamily from a Ligand-Dependent Ancestor
Published in
PLoS Biology, October 2010
DOI 10.1371/journal.pbio.1000497
Pubmed ID
Authors

Jamie T. Bridgham, Geeta N. Eick, Claire Larroux, Kirti Deshpande, Michael J. Harms, Marie E. A. Gauthier, Eric A. Ortlund, Bernard M. Degnan, Joseph W. Thornton

Abstract

Understanding how protein structures and functions have diversified is a central goal in molecular evolution. Surveys of very divergent proteins from model organisms, however, are often insufficient to determine the features of ancestral proteins and to reveal the evolutionary events that yielded extant diversity. Here we combine genomic, biochemical, functional, structural, and phylogenetic analyses to reconstruct the early evolution of nuclear receptors (NRs), a diverse superfamily of transcriptional regulators that play key roles in animal development, physiology, and reproduction. By inferring the structure and functions of the ancestral NR, we show--contrary to current belief--that NRs evolved from a ligand-activated ancestral receptor that existed near the base of the Metazoa, with fatty acids as possible ancestral ligands. Evolutionary tinkering with this ancestral structure generated the extraordinary diversity of modern receptors: sensitivity to different ligands evolved because of subtle modifications of the internal cavity, and ligand-independent activation evolved repeatedly because of various mutations that stabilized the active conformation in the absence of ligand. Our findings illustrate how a mechanistic dissection of protein evolution in a phylogenetic context can reveal the deep homology that links apparently "novel" molecular functions to a common ancestral form.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 275 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 3%
Germany 3 1%
France 2 <1%
Portugal 2 <1%
Canada 2 <1%
United Kingdom 2 <1%
Hungary 1 <1%
Finland 1 <1%
Brazil 1 <1%
Other 4 1%
Unknown 250 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 61 22%
Student > Ph. D. Student 59 21%
Student > Bachelor 28 10%
Student > Master 25 9%
Professor > Associate Professor 16 6%
Other 52 19%
Unknown 34 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 136 49%
Biochemistry, Genetics and Molecular Biology 56 20%
Chemistry 6 2%
Earth and Planetary Sciences 4 1%
Neuroscience 4 1%
Other 26 9%
Unknown 43 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 28. 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 15 August 2020.
All research outputs
#1,384,227
of 25,394,764 outputs
Outputs from PLoS Biology
#2,259
of 8,848 outputs
Outputs of similar age
#4,489
of 108,294 outputs
Outputs of similar age from PLoS Biology
#12
of 78 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,848 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 48.6. This one has gotten more attention than average, scoring higher than 74% 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 108,294 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 95% of its contemporaries.
We're also able to compare this research output to 78 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.