Evidence map›Paper›PMID 31654410›Full record

ArticleBiotechnology and bioengineering2020

Physiological responses of Saccharomyces cerevisiae to industrially relevant conditions: Slow growth, low pH, and high CO

Xavier Hakkaart, Yaya Liu, Mandy Hulst, Anissa El Masoudi, Eveline Peuscher, Jack Pronk, Walter van Gulik, Pascale Daran-Lapujade

Open access · hybridAbstract read
In one paragraph

Article in Biotechnology and bioengineering, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

7 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Article
  3. High throughputMicrobial cell factories · 2023
    Article
  4. Article
  5. Article
  6. Article
  7. EngineeringFrontiers in bioengineering and biotechnology · 2020
    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

8 authors at 3 institutions in 3 countries.

Xavier HakkaartDepartment of Biotechnology, Delft University of Technology, van der Maasweg, Delft, The Netherlands.
Yaya LiuDepartment of Biotechnology, Delft University of Technology, van der Maasweg, Delft, The Netherlands.
Mandy HulstDepartment of Biotechnology, Delft University of Technology, van der Maasweg, Delft, The Netherlands.
Anissa El MasoudiDepartment of Biotechnology, Delft University of Technology, van der Maasweg, Delft, The Netherlands.
Eveline PeuscherDepartment of Biotechnology, Delft University of Technology, van der Maasweg, Delft, The Netherlands.
Jack PronkDepartment of Biotechnology, Delft University of Technology, van der Maasweg, Delft, The Netherlands.
Walter van GulikDepartment of Biotechnology, Delft University of Technology, van der Maasweg, Delft, The Netherlands.
Pascale Daran-LapujadeDepartment of Biotechnology, Delft University of Technology, van der Maasweg, Delft, The Netherlands.ORCID 0000-0002-4097-7831
Delft University of Technology · NLReed Medical (United Kingdom) · GBSaint Xavier University · US

Funding

BE-Basic foundation, The Netherlands
6 · The paper itself

Abstract

Engineered strains of Saccharomyces cerevisiae are used for industrial production of succinic acid. Optimal process conditions for dicarboxylic-acid yield and recovery include slow growth, low pH, and high CO

Indexed as

Saccharomyces cerevisiaeCarbon DioxideCarboxylic AcidsHydrogen-Ion ConcentrationIndustrial MicrobiologyMetabolic EngineeringMetabolic Flux AnalysisTranscriptomeCarbon DioxideCarboxylic Acidsacid stresscarbon dioxidecarboxylic acidyeastzero-growth

Identifiers

PMID31654410
PMCPMC7028085
OpenAlexW2982085342

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.