Evidence map›Paper›PMID 35441833›Full record

ArticleBiotechnology progress2022

Development of a miniature bioreactor model to study the impact of pH and DOT fluctuations on CHO cell culture performance as a tool to understanding heterogeneity effects at large-scale.

Roman Zakrzewski, Kenneth Lee, Gary J Lye

Open access · hybridAbstract read
In one paragraph

Article in Biotechnology progress, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

8 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
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  7. Cytocentric measurement for regenerative medicine.Frontiers in medical technology · 2023
    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

3 authors at 2 institutions in 3 countries.

Roman ZakrzewskiThe Advanced Centre for Biochemical Engineering, Department of Biochemical Engineering, University College London, London, UK.ORCID 0000-0002-9880-1118
Kenneth LeeBiopharmaceutical Development: Bioprocess Technologies and Engineering, AstraZeneca, Gaithersburg, USA.
Gary J LyeThe Advanced Centre for Biochemical Engineering, Department of Biochemical Engineering, University College London, London, UK.
Biochemical Society · GBBioClinica (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the impact of spatial heterogeneities that are known to occur in large-scale cell culture bioreactors remains a significant challenge. This work presents a novel methodology for mimicking the effects of pH and dissolved oxygen heterogeneities on Chinese hamster ovary (CHO) cell culture performance and antibody quality characteristics, using an automated miniature bioreactor system. Cultures of 4 different cell lines, expressing 3 IgG molecules and one fusion protein, were exposed to repeated pH and dissolved oxygen tension (DOT) fluctuations between pH 7.0-7.5 and DOT 10%-30%, respectively, for durations of 15, 30, and 60 min. Fluctuations in pH had a minimal impact on growth, productivity, and product quality although some changes in lactate metabolism were observed. DOT fluctuations were found to have a more significant impact; a 35% decrease in cell growth and product titre was observed in the fastest growing cell line tested, while all cell lines exhibited a significant increase in lactate accumulation. Product quality analysis yielded varied results; two cell lines showed an increase in the G0F glycan and decrease in G1F, G2F, and Man5; however, another line showed the opposite trend. The study suggests that the response of CHO cells to the effects of fluctuating culture conditions is cell line specific and that higher growing cell lines are most impacted. The miniature bioreactor system described in this work therefore provides a platform for use during early stage cell culture process development to identify cell lines that may be adversely impacted by the pH and DOT heterogeneities encountered on scale-up. This experimental data can be combined with computational modeling approaches to predict overall cell culture performance in large-scale bioreactors.

Indexed as

BioreactorsCell Culture TechniquesAnimalsCHO CellsCricetinaeCricetulusHydrogen-Ion ConcentrationLactatesOxygenLactatesOxygenCHO cell cultureheterogeneityminiature bioreactormixingscale-down

Identifiers

PMID35441833
PMCPMC9542549
OpenAlexW4224235890

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.