Evidence map›Paper›PMID 38934464›Full record

SynthesisACS synthetic biology2024

Meta-analysis Driven Strain Design for Mitigating Oxidative Stresses Important in Biomanufacturing.

P V Phaneuf, S H Kim, K Rychel, C Rode, F Beulig, B O Palsson, L Yang

Abstract readMeta-Analysis
In one paragraph

Synthesis in ACS synthetic biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

7 authors.

P V PhaneufNovo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kemitorvet, Building 220. Kongens Lyngby 2800, Denmark.ORCID 0000-0002-4122-6589
S H KimNovo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kemitorvet, Building 220. Kongens Lyngby 2800, Denmark.ORCID 0000-0003-4543-4622
K RychelDepartment of Bioengineering, University of California, San Diego, La Jolla ,California92093-0412 ,United States.
C RodeNovo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kemitorvet, Building 220. Kongens Lyngby 2800, Denmark.
F BeuligNovo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kemitorvet, Building 220. Kongens Lyngby 2800, Denmark.
B O PalssonNovo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kemitorvet, Building 220. Kongens Lyngby 2800, Denmark.
L YangNovo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kemitorvet, Building 220. Kongens Lyngby 2800, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the availability of data sets increases, meta-analysis leveraging aggregated and interoperable data types is proving valuable. This study leveraged a meta-analysis workflow to identify mutations that could improve robustness to reactive oxygen species (ROS) stresses using an industrially important melatonin production strain as an example. ROS stresses often occur during cultivation and negatively affect strain performance. Cellular response to ROS is also linked to the SOS response and resistance to pH fluctuations, which is important to strain robustness in large-scale biomanufacturing. This work integrated more than 7000

Indexed as

Escherichia coliMutationOxidative StressReactive Oxygen SpeciesDirected Molecular EvolutionEscherichia coli ProteinsMelatoninEscherichia coli ProteinsMelatoninReactive Oxygen Speciesacid stressALE mutationsiModulonsmeta-analysis driven strain designreactive oxygen speciesSOS response

Identifiers

PMID38934464
PMCPMC11264330

What OpenQuestion holds

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LicenceCC BY
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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.