Title |
Phenotypes on demand via switchable target protein degradation in multicellular organisms
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Published in |
Nature Communications, July 2016
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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
Geographical breakdown
Country | Count | As % |
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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 % |
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Scientists | 55 | 49% |
Members of the public | 50 | 44% |
Science communicators (journalists, bloggers, editors) | 8 | 7% |
Mendeley readers
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% |