Evidence map›Paper›PMID 33233378›Full record

ReviewLife (Basel, Switzerland)2020

The Model System

Maria Priscila Lacerda, Eun Joong Oh, Carrie Eckert

Open access · goldAbstract readReview
In one paragraph

Review in Life (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

14 citing papers in PubMed, 35 citations in OpenAlex.

  1. Leveraging 13C-Labeling to Assign Molecular Formulas to Unknown Yeast Metabolites.Journal of the American Society for Mass Spectrometry · 2026
    Article
  2. Review
  3. Review
  4. Review
  5. Article
  6. A versatile genetic toolkit for engineeringFrontiers in bioengineering and biotechnology · 2025
    Article
  7. Article
  8. Article
  9. Tips, Tricks, and Potential Pitfalls of CRISPR Genome Editing inFrontiers in bioengineering and biotechnology · 2022
    Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. 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

3 authors at 3 institutions in 1 country.

Maria Priscila LacerdaRenewable and Sustainable Energy Institute (RASEI), University of Colorado, Boulder, CO 80303, USA.
Eun Joong OhDepartment of Food Science, Purdue University, West Lafayette, IN 47907, USA.
Carrie EckertRenewable and Sustainable Energy Institute (RASEI), University of Colorado, Boulder, CO 80303, USA.ORCID 0000-0003-4201-2926
National Laboratory of the Rockies · USPurdue University West Lafayette · USUniversity of Colorado Boulder · US

Funding

U.S. Department of Energy Grant DE-SC0018368
6 · The paper itself

Abstract

Microorganisms are effective platforms for the production of a variety of chemicals including biofuels, commodity chemicals, polymers and other natural products. However, deep cellular understanding is required for improvement of current biofuel cell factories to truly transform the Bioeconomy. Modifications in microbial metabolic pathways and increased resistance to various types of stress caused by the production of these chemicals are crucial in the generation of robust and efficient production hosts. Recent advances in systems and synthetic biology provide new tools for metabolic engineering to design strategies and construct optimal biocatalysts for the sustainable production of desired chemicals, especially in the case of ethanol and fatty acid production. Yeast is an efficient producer of bioethanol and most of the available synthetic biology tools have been developed for the industrial yeast

Indexed as

biofuelsbioproductsmetabolic engineeringsynthetic biologyyeast

Identifiers

PMID33233378
PMCPMC7700301
OpenAlexW3106564315

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.