Evidence map›Paper›PMID 32995501›Full record

ArticleSynthetic biology (Oxford, England)2017

Positive-feedback, ratiometric biosensor expression improves high-throughput metabolite-producer screening efficiency in yeast.

Thomas C Williams, Xin Xu, Martin Ostrowski, Isak S Pretorius, Ian T Paulsen

Open access · goldAbstract read
In one paragraph

Article in Synthetic biology (Oxford, England), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.8field-weighted citation impact, top 15% of its field
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

12 citing papers in PubMed, 38 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Evolutionary engineering inBiotechnology for biofuels · 2019
    Article
  10. Review
  11. Review
  12. Review
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

5 authors at 1 institution in 1 country.

Thomas C WilliamsDepartment of Chemistry and Biomolecular Sciences, Macquarie University, Sydney, NSW, Australia.
Xin XuDepartment of Chemistry and Biomolecular Sciences, Macquarie University, Sydney, NSW, Australia.
Martin OstrowskiDepartment of Chemistry and Biomolecular Sciences, Macquarie University, Sydney, NSW, Australia.
Isak S PretoriusDepartment of Chemistry and Biomolecular Sciences, Macquarie University, Sydney, NSW, Australia.
Ian T PaulsenDepartment of Chemistry and Biomolecular Sciences, Macquarie University, Sydney, NSW, Australia.
Macquarie University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biosensors are valuable and versatile tools in synthetic biology that are used to modulate gene expression in response to a wide range of stimuli. Ligand responsive transcription factors are a class of biosensor that can be used to couple intracellular metabolite concentration with gene expression to enable dynamic regulation and high-throughput metabolite producer screening. We have established the

Indexed as

adaptive laboratory evolutionbiosensormetabolic engineeringsynthetic biologyyeast

Identifiers

PMID32995501
PMCPMC7513737
OpenAlexW2589105005

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.