Evidence map›Paper›PMID 24465669›Full record

ArticlePloS one2014

Application of a genetically encoded biosensor for live cell imaging of L-valine production in pyruvate dehydrogenase complex-deficient Corynebacterium glutamicum strains.

Nurije Mustafi, Alexander Grünberger, Regina Mahr, Stefan Helfrich, Katharina Nöh, Bastian Blombach, Dietrich Kohlheyer, Julia Frunzke

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
5.8field-weighted citation impact, top 3% 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

37 citing papers in PubMed, 111 citations in OpenAlex.

  1. Article
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  6. Article
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  8. Application of anEngineering in life sciences · 2023
    Article
  9. Article
  10. Article
  11. Review
  12. Autotrophic lactate production from HApplied microbiology and biotechnology · 2022
    Article
  13. Kinetic Modeling ofMetabolites · 2022
    Review
  14. Biosensor-based isolation of amino acid-producingMetabolic engineering communications · 2021
    Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. The future of self-selecting and stable fermentations.Journal of industrial microbiology & biotechnology · 2020
    Review
  20. 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

8 authors at 2 institutions in 1 country.

Nurije MustafiIBG-1: Biotechnology, Forschungszentrum Jülich, Jülich, Germany.
Alexander GrünbergerIBG-1: Biotechnology, Forschungszentrum Jülich, Jülich, Germany.
Regina MahrIBG-1: Biotechnology, Forschungszentrum Jülich, Jülich, Germany.
Stefan HelfrichIBG-1: Biotechnology, Forschungszentrum Jülich, Jülich, Germany.
Katharina NöhIBG-1: Biotechnology, Forschungszentrum Jülich, Jülich, Germany.
Bastian BlombachInstitute of Biochemical Engineering, University of Stuttgart, Stuttgart, Germany.
Dietrich KohlheyerIBG-1: Biotechnology, Forschungszentrum Jülich, Jülich, Germany.
Julia FrunzkeIBG-1: Biotechnology, Forschungszentrum Jülich, Jülich, Germany.
Forschungszentrum Jülich · DEUniversity of Stuttgart · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The majority of biotechnologically relevant metabolites do not impart a conspicuous phenotype to the producing cell. Consequently, the analysis of microbial metabolite production is still dominated by bulk techniques, which may obscure significant variation at the single-cell level. In this study, we have applied the recently developed Lrp-biosensor for monitoring of amino acid production in single cells of gradually engineered L-valine producing Corynebacterium glutamicum strains based on the pyruvate dehydrogenase complex-deficient (PDHC) strain C. glutamicum ΔaceE. Online monitoring of the sensor output (eYFP fluorescence) during batch cultivation proved the sensor's suitability for visualizing different production levels. In the following, we conducted live cell imaging studies on C. glutamicum sensor strains using microfluidic chip devices. As expected, the sensor output was higher in microcolonies of high-yield producers in comparison to the basic strain C. glutamicum ΔaceE. Microfluidic cultivation in minimal medium revealed a typical Gaussian distribution of single cell fluorescence during the production phase. Remarkably, low amounts of complex nutrients completely changed the observed phenotypic pattern of all strains, resulting in a phenotypic split of the population. Whereas some cells stopped growing and initiated L-valine production, others continued to grow or showed a delayed transition to production. Depending on the cultivation conditions, a considerable fraction of non-fluorescent cells was observed, suggesting a loss of metabolic activity. These studies demonstrate that genetically encoded biosensors are a valuable tool for monitoring single cell productivity and to study the phenotypic pattern of microbial production strains.

Indexed as

Biosensing TechniquesCorynebacterium glutamicumFluorescenceMicrofluidicsOnline SystemsPhenotypePyruvate Dehydrogenase ComplexValinePyruvate Dehydrogenase ComplexValine

Identifiers

PMID24465669
PMCPMC3895001
OpenAlexW2109171263

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.