Evidence map›Paper›PMID 29422524›Full record

ArticleScientific reports2018

Evolution of enzymes with new specificity by high-throughput screening using DmpR-based genetic circuits and multiple flow cytometry rounds.

Kil Koang Kwon, Dae-Hee Lee, Su Jin Kim, Su-Lim Choi, Eugene Rha, Soo-Jin Yeom, Bindu Subhadra, Jinhyuk Lee, Ki Jun Jeong, Seung-Goo Lee

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Directed Evolution Methods for Enzyme Engineering.Molecules (Basel, Switzerland) · 2021
    Review
  6. Article
  7. Review
  8. Biosensor-Based Directed Evolution of Methanol Dehydrogenase fromInternational journal of molecular sciences · 2021
    Article
  9. Article
  10. Article
  11. C1 Compound Biosensors: Design, Functional Study, and Applications.International journal of molecular sciences · 2019
    Article
  12. Review
  13. Article
  14. 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

10 authors.

Kil Koang KwonSynthetic Biology and Bioengineering Research Centre, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 305-806, Korea.
Dae-Hee LeeSynthetic Biology and Bioengineering Research Centre, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 305-806, Korea.ORCID 0000-0002-0423-9057
Su Jin KimSynthetic Biology and Bioengineering Research Centre, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 305-806, Korea.
Su-Lim ChoiSynthetic Biology and Bioengineering Research Centre, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 305-806, Korea.
Eugene RhaSynthetic Biology and Bioengineering Research Centre, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 305-806, Korea.
Soo-Jin YeomSynthetic Biology and Bioengineering Research Centre, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 305-806, Korea.
Bindu SubhadraSynthetic Biology and Bioengineering Research Centre, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 305-806, Korea.
Jinhyuk LeeKorean Bioinformation Centre (KOBIC), Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 305-806, Korea.
Ki Jun JeongDepartment of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 305-338, Korea. kjjeong@kaist.ac.kr.
Seung-Goo LeeSynthetic Biology and Bioengineering Research Centre, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 305-806, Korea. sglee@kribb.re.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic circuit-based biosensors are useful in detecting target metabolites or in vivo enzymes using transcription factors (Tx) as a molecular switch to express reporter signals, such as cellular fluorescence and antibiotic resistance. Herein, a phenol-detecting Tx (DmpR) was employed as a critical tool for enzyme engineering, specifically for the rapid analysis of numerous mutants with multiple mutations at the active site of tryptophan-indole lyase (TIL, EC 4.1.99.1). Cellular fluorescence was monitored cell-by-cell using flow cytometry to detect the creation of phenolic compounds by a new tyrosine-phenol-lyase (TPL, EC 4.1.99.2). In the TIL scaffold, target amino acids near the indole ring (Asp

Indexed as

Bacterial ProteinsCatalytic DomainCitrobacter freundiiDirected Molecular EvolutionEscherichia coliFlow CytometryFluorescent DyesGene Regulatory NetworksHigh-Throughput Screening AssaysModels, MolecularPhenolProtein BindingTranscription FactorsTyrosine Phenol-LyaseBacterial ProteinsFluorescent DyesPhenolTranscription FactorsTyrosine Phenol-Lyase

Identifiers

PMID29422524
PMCPMC5805759

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.