Evidence map›Paper›PMID 32774209›Full record

ArticleEngineering in life sciences2020

Development, characterization, and application of a 2-Compartment system to investigate the impact of pH inhomogeneities in large-scale CHO-based processes.

Katrin Paul, Katharina Böttinger, Bernd M Mitic, Georg Scherfler, Christoph Posch, Dirk Behrens, Christian G Huber, Christoph Herwig

Abstract read
In one paragraph

Article in Engineering in life sciences, 2020. 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
–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

4 citing papers in PubMed.

  1. Article
  2. Article
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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.

Katrin PaulInstitute of Chemical Environmental and Bioscience Engineering TU Wien Vienna Austria.ORCID https://orcid.org/0000-0003-3114-5571
Katharina BöttingerDepartment of Biosciences Bioanalytical Research Labs University of Salzburg Salzburg Austria.ORCID https://orcid.org/0000-0001-7246-4611
Bernd M MiticInstitute of Chemical Environmental and Bioscience Engineering TU Wien Vienna Austria.
Georg ScherflerInstitute of Chemical Environmental and Bioscience Engineering TU Wien Vienna Austria.
Christoph PoschSandoz GmbH Langkampfen Austria.
Dirk BehrensSandoz GmbH Langkampfen Austria.
Christian G HuberDepartment of Biosciences Bioanalytical Research Labs University of Salzburg Salzburg Austria.
Christoph HerwigInstitute of Chemical Environmental and Bioscience Engineering TU Wien Vienna Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Large-scale bioreactors for the production of monoclonal antibodies reach volumes of up to 25 000 L. With increasing bioreactor size, mixing is however affected negatively, resulting in the formation of gradients throughout the reactor. These gradients can adversely affect process performance at large scale. Since mammalian cells are sensitive to changes in pH, this study investigated the effects of pH gradients on process performance. A 2-Compartment System was established for this purpose to expose only a fraction of the cell population to pH excursions and thereby mimicking a large-scale bioreactor. Cells were exposed to repeated pH amplitudes of 0.4 units (pH 7.3), which resulted in decreased viable cell counts, as well as the inhibition of the lactate metabolic shift. These effects were furthermore accompanied by increased absolute lactate levels. Continuous assessment of molecular attributes of the expressed target protein revealed that subunit assembly or

Indexed as

2‐Compartment systemCHOinhomogeneitieslarge‐scalepH excursionsscale‐down

Identifiers

PMID32774209
PMCPMC7401239

What OpenQuestion holds

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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.