Evidence map›Paper›PMID 30054360›Full record

ArticleApplied and environmental microbiology2018

Multiple Optimal Phenotypes Overcome Redox and Glycolytic Intermediate Metabolite Imbalances in Escherichia coli pgi Knockout Evolutions.

Douglas McCloskey, Sibei Xu, Troy E Sandberg, Elizabeth Brunk, Ying Hefner, Richard Szubin, Adam M Feist, Bernhard O Palsson

Abstract read
In one paragraph

Article in Applied and environmental microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Food chemistry. Molecular sciences · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Experimental evolution for cell biology.Trends in cell biology · 2023
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Kinetic profiling of metabolic specialists demonstrates stability and consistency of in vivo enzyme turnover numbers.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  17. Article
  18. Review
  19. Article
  20. 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

8 authors.

Douglas McCloskeyDepartment of Bioengineering, University of California, San Diego, La Jolla, California, USA.
Sibei XuDepartment of Bioengineering, University of California, San Diego, La Jolla, California, USA.
Troy E SandbergDepartment of Bioengineering, University of California, San Diego, La Jolla, California, USA.
Elizabeth BrunkDepartment of Bioengineering, University of California, San Diego, La Jolla, California, USA.
Ying HefnerDepartment of Bioengineering, University of California, San Diego, La Jolla, California, USA.
Richard SzubinDepartment of Bioengineering, University of California, San Diego, La Jolla, California, USA.
Adam M FeistDepartment of Bioengineering, University of California, San Diego, La Jolla, California, USA.
Bernhard O PalssonDepartment of Bioengineering, University of California, San Diego, La Jolla, California, USA palsson@ucsd.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A mechanistic understanding of how new phenotypes develop to overcome the loss of a gene product provides valuable insight on both the metabolic and regulatory functions of the lost gene. The

Indexed as

Escherichia coli K12Escherichia coli ProteinsGene Knockout TechniquesGlucose-6-Phosphate IsomeraseGlycolysisMutationOxidation-ReductionPhenotypeEscherichia coli ProteinsGlucose-6-Phosphate Isomerasepgi protein, E coliadaptive laboratory evolutionEscherichia colimulti-omics analysismutation analysispgi gene knockoutsystems biology

Identifiers

PMID30054360
PMCPMC6146989

What OpenQuestion holds

Textmetadata
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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.