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Phenotypes on demand via switchable target protein degradation in multicellular organisms

Overview of attention for article published in Nature Communications, July 2016
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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 (84th percentile)

Mentioned by

news
3 news outlets
twitter
120 tweeters
patent
1 patent
facebook
1 Facebook page

Citations

dimensions_citation
32 Dimensions

Readers on

mendeley
105 Mendeley
Title
Phenotypes on demand via switchable target protein degradation in multicellular organisms
Published in
Nature Communications, July 2016
DOI 10.1038/ncomms12202
Pubmed ID
Authors

Frederik Faden, Thomas Ramezani, Stefan Mielke, Isabel Almudi, Knud Nairz, Marceli S. Froehlich, Jörg Höckendorff, Wolfgang Brandt, Wolfgang Hoehenwarter, R. Jürgen Dohmen, Arp Schnittger, Nico Dissmeyer

Abstract

Phenotypes on-demand generated by controlling activation and accumulation of proteins of interest are invaluable tools to analyse and engineer biological processes. While temperature-sensitive alleles are frequently used as conditional mutants in microorganisms, they are usually difficult to identify in multicellular species. Here we present a versatile and transferable, genetically stable system based on a low-temperature-controlled N-terminal degradation signal (lt-degron) that allows reversible and switch-like tuning of protein levels under physiological conditions in vivo. Thereby, developmental effects can be triggered and phenotypes on demand generated. The lt-degron was established to produce conditional and cell-type-specific phenotypes and is generally applicable in a wide range of organisms, from eukaryotic microorganisms to plants and poikilothermic animals. We have successfully applied this system to control the abundance and function of transcription factors and different enzymes by tunable protein accumulation.

Twitter Demographics

The data shown below were collected from the profiles of 120 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
Netherlands 2 2%
Chile 1 <1%
Germany 1 <1%
United States 1 <1%
Unknown 98 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 25%
Researcher 24 23%
Student > Bachelor 12 11%
Student > Master 11 10%
Student > Doctoral Student 5 5%
Other 15 14%
Unknown 12 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 46 44%
Biochemistry, Genetics and Molecular Biology 35 33%
Chemical Engineering 3 3%
Social Sciences 2 2%
Computer Science 1 <1%
Other 3 3%
Unknown 15 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 96. 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 25 June 2021.
All research outputs
#270,933
of 18,090,383 outputs
Outputs from Nature Communications
#4,776
of 36,091 outputs
Outputs of similar age
#6,931
of 272,217 outputs
Outputs of similar age from Nature Communications
#28
of 169 outputs
Altmetric has tracked 18,090,383 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 36,091 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 52.8. This one has done well, scoring higher than 86% 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 272,217 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 169 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.