Evidence map›Paper›PMID 25413209›Full record

ReviewJournal of industrial microbiology & biotechnology2015

Metabolic engineering of strains: from industrial-scale to lab-scale chemical production.

Jie Sun, Hal S Alper

Open access · bronzeAbstract readReview
PubMed Publisher
In one paragraph

Review in Journal of industrial microbiology & biotechnology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
4.0field-weighted citation impact, top 5% 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

19 citing papers in PubMed, 61 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Conversion of Polyethylenes into Fungal Secondary Metabolites.Angewandte Chemie (International ed. in English) · 2023
    Article
  5. Metabolic Dynamics inACS synthetic biology · 2021
    Article
  6. From Data Mining ofMicroorganisms · 2021
    Article
  7. Review
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Combinatorial metabolic pathway assembly in the yeast genome with RNA-guided Cas9.Journal of industrial microbiology & biotechnology · 2016
    Article
  15. Article
  16. Article
  17. Article
  18. Synthetic biology for pharmaceutical drug discovery.Drug design, development and therapy · 2015
    Review
  19. Lean-proteome strains - next step in metabolic engineering.Frontiers in bioengineering and biotechnology · 2015
    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

2 authors at 1 institution in 1 country.

Jie SunMcKetta Department of Chemical Engineering, The University of Texas at Austin, 200 E Dean Keeton St. Stop C0400, Austin, TX, 78712, USA.
Hal S Alper
The University of Texas at Austin · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A plethora of successful metabolic engineering case studies have been published over the past several decades. Here, we highlight a collection of microbially produced chemicals using a historical framework, starting with titers ranging from industrial scale (more than 50 g/L), to medium-scale (5-50 g/L), and lab-scale (0-5 g/L). Although engineered Escherichia coli and Saccharomyces cerevisiae emerge as prominent hosts in the literature as a result of well-developed genetic engineering tools, several novel native-producing strains are gaining attention. This review catalogs the current progress of metabolic engineering towards production of compounds such as acids, alcohols, amino acids, natural organic compounds, and others.

Indexed as

LaboratoriesAcidsAlcoholsAmino AcidsEscherichia coliIndustrial MicrobiologyMetabolic EngineeringOrganic ChemicalsSaccharomyces cerevisiaeAcidsAlcoholsAmino AcidsOrganic Chemicals

Identifiers

PMID25413209
OpenAlexW2088032964

What OpenQuestion holds

Textmetadata
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.