Literature DB >> 28936674

Conditional Modulation of Biological Processes by Low-Temperature Degrons.

Nico Dissmeyer1.   

Abstract

Conditional modulation of biological processes plays key roles in basic and applied research and in translation. It can be achieved on various levels via a multitude of approaches. One of the directions is manipulating target protein levels and activity by transcriptional, posttranscriptional, translational, and posttranslational control. Because in most of these techniques, the synthesis of the target proteins is adjusted to the needs, they all rely on the specific half-life of the target protein and its turn-over. Therefore, their time-of-action, in direct correlation to the desired reprogramming of molecular phenotypes caused by altering the target levels, is fixed and determined by the naturally inherent properties. We have introduced the low-temperature degron (lt-degron) to various intact multicellular organisms which allows to control target protein levels and therefore function and activity directly on the level of active protein. The lt-degron uses a combination of Ubiquitin-fusion technique linking target protein degradation to the N-end rule pathway of targeted proteolysis coupled with the use of cell- and tissue-specific promoters.

Keywords:  Conditional allele; Conditional genetics; N-end rule; Protein degradation; Proteostasis; Ubiquitination

Mesh:

Substances:

Year:  2017        PMID: 28936674     DOI: 10.1007/978-1-4939-7286-9_30

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  5 in total

1.  Modulating Protein Stability to Switch Toxic Protein Function On and Off in Living Cells.

Authors:  Frederik Faden; Stefan Mielke; Nico Dissmeyer
Journal:  Plant Physiol       Date:  2019-01-24       Impact factor: 8.340

2.  Trichome Transcripts as Efficiency Control for Synthetic Biology and Molecular Farming.

Authors:  Richard Becker; Christian Görner; Pavel Reichman; Nico Dissmeyer
Journal:  Methods Mol Biol       Date:  2022

3.  MGDrivE 2: A simulation framework for gene drive systems incorporating seasonality and epidemiological dynamics.

Authors:  Sean L Wu; Jared B Bennett; Héctor M Sánchez C; Andrew J Dolgert; Tomás M León; John M Marshall
Journal:  PLoS Comput Biol       Date:  2021-05-21       Impact factor: 4.475

Review 4.  New beginnings and new ends: methods for large-scale characterization of protein termini and their use in plant biology.

Authors:  Andreas Perrar; Nico Dissmeyer; Pitter F Huesgen
Journal:  J Exp Bot       Date:  2019-04-12       Impact factor: 6.992

5.  Gene drive and resilience through renewal with next generation Cleave and Rescue selfish genetic elements.

Authors:  Georg Oberhofer; Tobin Ivy; Bruce A Hay
Journal:  Proc Natl Acad Sci U S A       Date:  2020-04-03       Impact factor: 11.205

  5 in total

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