Evidence map›Paper›PMID 30679267›Full record

ArticlePlant physiology2019

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

Frederik Faden, Stefan Mielke, Nico Dissmeyer

Abstract read
In one paragraph

Article in Plant physiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Review
  2. Review
  3. Plants (Basel, Switzerland) · 2023
    Article
  4. Using CRL3Plant direct · 2022
    Article
  5. Review
  6. Article
  7. Review
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Frederik FadenIndependent Junior Research Group on Protein Recognition and Degradation, Leibniz Institute of Plant Biochemistry, D-06120 Halle (Saale), Germany.
Stefan MielkeIndependent Junior Research Group on Protein Recognition and Degradation, Leibniz Institute of Plant Biochemistry, D-06120 Halle (Saale), Germany.
Nico DissmeyerIndependent Junior Research Group on Protein Recognition and Degradation, Leibniz Institute of Plant Biochemistry, D-06120 Halle (Saale), Germany nico.dissmeyer@ipb-halle.de.ORCID 0000-0002-4156-3761

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Toxic proteins are prime targets for molecular farming (the generation of pharmacologically active or biotechnologically usable compounds in plants) and are also efficient tools for targeted cell ablation in genetics, developmental biology, and biotechnology. However, achieving conditional activity of cytotoxins and maintaining the toxin-expressing plants as stably transformed lines remain challenging. Here, we produce a switchable version of the highly cytotoxic bacterial RNase barnase by fusing the protein to a portable protein degradation cassette, the low-temperature degron cassette. This method allows conditional genetics based on conditional protein degradation via the N-end rule or N-degron pathway and has been used to vice versa accumulate and/or deplete a diverse variety of highly active, unstable or stable target proteins in different living multicellular organisms and cell systems. Moreover, we expressed the barnase fusion under control of the trichome-specific

Indexed as

ArabidopsisArabidopsis ProteinsBacterial ProteinsNicotianaPhenotypePlants, Genetically ModifiedPromoter Regions, GeneticProtein EngineeringRibonucleasesSynthetic BiologyTemperatureTrichomesArabidopsis ProteinsBacillus amyloliquefaciens ribonucleaseBacterial ProteinsRibonucleasesTRIPTYCHON protein, Arabidopsis

Identifiers

PMID30679267
PMCPMC6393803

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.