Evidence map›Paper›PMID 32574927›Full record

ReviewCurrent opinion in biotechnology2020

Bacterial metabolic heterogeneity: origins and applications in engineering and infectious disease.

Trent D Evans, Fuzhong Zhang

Abstract readReview
In one paragraph

Review in Current opinion in biotechnology, 2020. 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. Article
  5. Review
  6. (p)ppGpp mediates persister formation inFrontiers in microbiology · 2025
    Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Review
  16. Article
  17. Review
  18. Journal of biosciences · 2022
    Review
  19. Article
  20. 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

2 authors.

Trent D EvansDepartment of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, Saint Louis, MO 63130, USA.
Fuzhong ZhangDepartment of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, Saint Louis, MO 63130, USA; Division of Biological & Biomedical Sciences, Washington University in St. Louis, Saint Louis, MO 63130, USA; Institute of Materials Science & Engineering, Washington University in St. Louis, Saint Louis, MO 63130, USA. Electronic address: fzhang@seas.wustl.edu.

Funding

Supplement for Purchase of a Cell Sorter for R35GM133797R35GM133797 · NIGMS · WASHINGTON UNIVERSITY · PI ZHANG, FUZHONG · 2019 to 2023
$2.2M
NIGMS NIH HHS R35 GM133797
6 · The paper itself

Abstract

Bacteria within an isoclonal population display significant heterogeneity in metabolism, even under tightly controlled environmental conditions. Metabolic heterogeneity enables influential functions not possible or measurable at the ensemble scale. Several molecular and cellular mechanisms are likely to give rise to metabolic heterogeneity including molecular noise in metabolic enzyme expression, positive feedback loops, and asymmetric partitioning of cellular components during cell division. Dissection of the mechanistic origins of metabolic heterogeneity has been enabled by recent developments in single-cell analytical tools. Finally, we provide a discussion of recent studies examining the importance of metabolic heterogeneity in applied settings such as infectious disease and metabolic engineering.

Indexed as

BacteriaCommunicable DiseasesCell DivisionHumansMetabolic Engineering

Identifiers

PMID32574927
PMCPMC7485380

What OpenQuestion holds

Textmetadata
LicenceTDM
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.