Evidence map›Paper›PMID 31523505›Full record

ArticlePeerJ2019

The effect of modulating the quantity of enzymes in a model ethanol pathway on metabolic flux in

Paulina Bartasun, Nicole Prandi, Marko Storch, Yarin Aknin, Mark Bennett, Arianna Palma, Geoff Baldwin, Yumiko Sakuragi, Patrik R Jones, John Rowland

Abstract read
In one paragraph

Article in PeerJ, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. 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

10 authors.

Paulina BartasunDepartment of Life Sciences, Imperial College London, London, United Kingdom.
Nicole PrandiDepartment of Life Sciences, Imperial College London, London, United Kingdom.
Marko StorchDepartment of Life Sciences, Imperial College London, London, United Kingdom.
Yarin AkninDepartment of Life Sciences, Imperial College London, London, United Kingdom.
Mark BennettDepartment of Life Sciences, Imperial College London, London, United Kingdom.
Arianna PalmaDepartment of Life Sciences, Imperial College London, London, United Kingdom.
Geoff BaldwinDepartment of Life Sciences, Imperial College London, London, United Kingdom.
Yumiko SakuragiDepartment of Plant and Environmental Sciences, University of Copenhagen, Frederiksberg, Denmark.
Patrik R JonesDepartment of Life Sciences, Imperial College London, London, United Kingdom.
John RowlandDepartment of Life Sciences, Imperial College London, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Synthetic metabolism allows new metabolic capabilities to be introduced into strains for biotechnology applications. Such engineered metabolic pathways are unlikely to function optimally as initially designed and native metabolism may not efficiently support the introduced pathway without further intervention. To develop our understanding of optimal metabolic engineering strategies, a two-enzyme ethanol pathway consisting of pyruvate decarboxylase and acetaldehyde reductase was introduced into

Indexed as

CyanobacteriaEthanolMetabolic engineeringOperonOptimizationRBS

Identifiers

PMID31523505
PMCPMC6717505

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.