ArticleNature communications2016
Phenotypes on demand via switchable target protein degradation in multicellular organisms.
Article in Nature communications, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed, 62 citations in OpenAlex.
- Article
- Synthetic biology approaches to generate temperature-sensitive alleles for the Sterile Insect Technique.Insect science · 2026Review
- Expansion and optimization of the auxin-inducible degron 2 (AID2) system inbioRxiv : the preprint server for biology · 2026Article
- Synthetic Biology of Plants and Microbes for Agriculture, Environment, and Future Applications.Chemical reviews · 2026Review
- Pre-mRNA processing factors differentially impact coordination between co-transcriptional cleavage and transcription termination.Nature communications · 2025Article
- Manipulation of targeted protein degradation in plant biology.Biochemical Society transactions · 2025Review
- Genetically-encoded targeted protein degradation technology to remove endogenous condensation-prone proteins and improve crop performance.Nature communications · 2025Article
- Ubiquitin E3 ligases in the plant Arg/N-degron pathway.The Biochemical journal · 2024Review
- Rapid depletion of target proteins in plants by an inducible protein degradation system.The Plant cell · 2024Article
- Using CRL3Plant direct · 2022Article
- Hypusinated eIF5A Promotes Ribosomal Frameshifting during Decoding of ODC Antizyme mRNA inInternational journal of molecular sciences · 2022Article
- Degradation-driven protein level oscillation in the yeast Saccharomyces cerevisiae.Bio Systems · 2022Article
- Strong and tunable anti-CRISPR/Cas activities in plants.Plant biotechnology journal · 2022Article
- Conditional and tissue-specific approaches to dissect essential mechanisms in plant development.Current opinion in plant biology · 2022Review
- Trichome Transcripts as Efficiency Control for Synthetic Biology and Molecular Farming.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Gene drive that results in addiction to a temperature-sensitive version of an essential gene triggers population collapse inProceedings of the National Academy of Sciences of the United States of America · 2021Article
- Plant cell cultures as heterologous bio-factories for secondary metabolite production.Plant communications · 2021Review
- Light-dependent N-end rule-mediated disruption of protein function in Saccharomyces cerevisiae and Drosophila melanogaster.PLoS genetics · 2021Article
- Article
- Prey for the Proteasome: Targeted Protein Degradation-A Medicinal Chemist's Perspective.Angewandte Chemie (International ed. in English) · 2020Review
Corrections and comments
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Authors and funding
12 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.