| 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. |
X Demographics
The data shown below were collected from the profiles of 113 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 21 | 19% |
| Germany | 14 | 12% |
| United Kingdom | 13 | 12% |
| Spain | 7 | 6% |
| Australia | 3 | 3% |
| Denmark | 2 | 2% |
| Canada | 2 | 2% |
| Switzerland | 2 | 2% |
| Belgium | 2 | 2% |
| Other | 12 | 11% |
| Unknown | 35 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 55 | 49% |
| Members of the public | 50 | 44% |
| Science communicators (journalists, bloggers, editors) | 8 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 124 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% |
| Germany | 1 | <1% |
| Chile | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 117 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 27 | 22% |
| Researcher | 26 | 21% |
| Student > Master | 13 | 10% |
| Student > Bachelor | 12 | 10% |
| Student > Doctoral Student | 7 | 6% |
| Other | 18 | 15% |
| Unknown | 21 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 47 | 38% |
| Biochemistry, Genetics and Molecular Biology | 41 | 33% |
| Chemical Engineering | 4 | 3% |
| Chemistry | 2 | 2% |
| Computer Science | 1 | <1% |
| Other | 5 | 4% |
| Unknown | 24 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 94. 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 31 January 2023.
All research outputs
#421,360
of 24,317,326 outputs
Outputs from Nature Communications
#7,070
of 51,914 outputs
Outputs of similar age
#8,910
of 371,232 outputs
Outputs of similar age from Nature Communications
#148
of 851 outputs
Altmetric has tracked 24,317,326 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 51,914 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 56.2. 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 371,232 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 851 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.