Evidence map›Paper›PMID 21188421›Full record

ArticleBioprocess and biosystems engineering2011

Quantitative characterization of metabolism and metabolic shifts during growth of the new human cell line AGE1.HN using time resolved metabolic flux analysis.

Jens Niklas, Eva Schräder, Volker Sandig, Thomas Noll, Elmar Heinzle

Abstract read
In one paragraph

Article in Bioprocess and biosystems engineering, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Article
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  11. Oxygen Uptake Rate Soft-Sensing via DynamicFrontiers in bioengineering and biotechnology · 2019
    Article
  12. Article
  13. Article
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  15. Article
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  19. Macroscopic modeling of mammalian cell growth and metabolism.Applied microbiology and biotechnology · 2015
    Review
  20. Methods and advances in metabolic flux analysis: a mini-review.Journal of industrial microbiology & biotechnology · 2015
    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

5 authors.

Jens NiklasBiochemical Engineering Institute, Saarland University, 66123, Saarbrücken, Germany.
Eva Schräder
Volker Sandig
Thomas Noll
Elmar Heinzle

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For the improved production of vaccines and therapeutic proteins, a detailed understanding of the metabolic dynamics during batch or fed-batch production is requested. To study the new human cell line AGE1.HN, a flexible metabolic flux analysis method was developed that is considering dynamic changes in growth and metabolism during cultivation. This method comprises analysis of formation of cellular components as well as conversion of major substrates and products, spline fitting of dynamic data and flux estimation using metabolite balancing. During batch cultivation of AGE1.HN three distinct phases were observed, an initial one with consumption of pyruvate and high glycolytic activity, a second characterized by a highly efficient metabolism with very little energy spilling waste production and a third with glutamine limitation and decreasing viability. Main events triggering changes in cellular metabolism were depletion of pyruvate and glutamine. Potential targets for the improvement identified from the analysis are (i) reduction of overflow metabolism in the beginning of cultivation, e.g. accomplished by reduction of pyruvate content in the medium and (ii) prolongation of phase 2 with its highly efficient energy metabolism applying e.g. specific feeding strategies. The method presented allows fast and reliable metabolic flux analysis during the development of producer cells and production processes from microtiter plate to large scale reactors with moderate analytical and computational effort. It seems well suited to guide media optimization and genetic engineering of producing cell lines.

Indexed as

BiomassBioreactorsBrainCell CountCell Culture TechniquesCell LineCitric Acid CycleCulture MediaGlucoseGlutamineGlycolysisHumansKineticsModels, BiologicalPyruvic AcidCulture MediaGlucoseGlutaminePyruvic Acid

Identifiers

PMID21188421
PMCPMC3092918

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Registered trials

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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.