Evidence map›Paper›PMID 35495658›Full record

ArticleFrontiers in microbiology2022

Metabolomics-Driven Identification of the Rate-Limiting Steps in 1-Propanol Production.

Toshiyuki Ohtake, Naoki Kawase, Sammy Pontrelli, Katsuaki Nitta, Walter A Laviña, Claire R Shen, Sastia P Putri, James C Liao, Eiichiro Fukusaki

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 37% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Metabolomics-driven strain improvement: A mini review.Frontiers in molecular biosciences · 2022
    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

9 authors at 4 institutions in 5 countries.

Toshiyuki OhtakeDepartment of Biotechnology, Graduate School of Engineering, Osaka University, Suita, Japan.
Naoki KawaseDepartment of Biotechnology, Graduate School of Engineering, Osaka University, Suita, Japan.
Sammy PontrelliDepartment of Chemical and Biomolecular Engineering, University of California, Los Angeles, Los Angeles, CA, United States.
Katsuaki NittaDepartment of Biotechnology, Graduate School of Engineering, Osaka University, Suita, Japan.
Walter A LaviñaDepartment of Biotechnology, Graduate School of Engineering, Osaka University, Suita, Japan.
Claire R ShenDepartment of Chemical and Biomolecular Engineering, University of California, Los Angeles, Los Angeles, CA, United States.
Sastia P PutriDepartment of Biotechnology, Graduate School of Engineering, Osaka University, Suita, Japan.
James C LiaoDepartment of Chemical and Biomolecular Engineering, University of California, Los Angeles, Los Angeles, CA, United States.
Eiichiro FukusakiDepartment of Biotechnology, Graduate School of Engineering, Osaka University, Suita, Japan.
Osaka University · JPUniversity of California, Los Angeles · USNational Tsing Hua University · TWShimadzu (Japan) · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The concerted effort for bioproduction of higher alcohols and other commodity chemicals has yielded a consortium of metabolic engineering techniques to identify targets to enhance performance of engineered microbial strains. Here, we demonstrate the use of metabolomics as a tool to systematically identify targets for improved production phenotypes in

Indexed as

1-propanol2-ketobutyrateEscherichia colimetabolomicsrate-limiting stepsYqhD

Identifiers

PMID35495658
PMCPMC9048197
OpenAlexW4224095607

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.