Evidence map›Paper›PMID 28275150›Full record

ReviewPlant physiology2017

Plant Chemical Genetics: From Phenotype-Based Screens to Synthetic Biology.

Wim Dejonghe, Eugenia Russinova

Abstract readReview
In one paragraph

Review in Plant physiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Proteome-wide cellular thermal shift assay reveals unexpected cross-talk between brassinosteroid and auxin signaling.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  20. SMART v1.0: A Database for Small Molecules with Functional Implications in Plants.Interdisciplinary sciences, computational life sciences · 2022
    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

2 authors.

Wim DejongheDepartment of Plant Biotechnology and Bioinformatics, Ghent University, 9052 Ghent, Belgium (W.D., E.R); and.ORCID http://orcid.org/0000-0003-3869-2228
Eugenia RussinovaDepartment of Plant Biotechnology and Bioinformatics, Ghent University, 9052 Ghent, Belgium (W.D., E.R); and eurus@psb.vib-ugent.be.ORCID http://orcid.org/0000-0002-0569-1977

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The treatment of a biological system with small molecules to specifically perturb cellular functions is commonly referred to as chemical biology. Small molecules are used commercially as drugs, herbicides, and fungicides in different systems, but in recent years they are increasingly exploited as tools for basic research. For instance, chemical genetics involves the discovery of small-molecule effectors of various cellular functions through screens of compound libraries. Whereas the drug discovery field has largely been driven by target-based screening approaches followed by drug optimization, chemical genetics in plant systems tends to be fueled by more general phenotype-based screens, opening the possibility to identify a wide range of small molecules that are not necessarily directly linked to the process of interest. Here, we provide an overview of the current progress in chemical genetics in plants, with a focus on the discoveries regarding small molecules identified in screens designed with a basic biology perspective. We reflect on the possibilities that lie ahead and discuss some of the potential pitfalls that might be encountered upon adopting a given chemical genetics approach.

Indexed as

Cell WallHomeostasisPhenotypePlant Growth RegulatorsPlantsSignal TransductionSmall Molecule LibrariesSynthetic BiologyPlant Growth RegulatorsSmall Molecule Libraries

Identifiers

PMID28275150
PMCPMC5411137

What OpenQuestion holds

Textmetadata
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.