Evidence map›Paper›PMID 35741058›Full record

ReviewCells2022

Metabolic Profiling of CHO Cells during the Production of Biotherapeutics.

Mathilde Coulet, Oliver Kepp, Guido Kroemer, Stéphane Basmaciogullari

Abstract readReview
In one paragraph

Review in Cells, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Review
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  3. Review
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  8. QuantitativeAnalytical and bioanalytical chemistry · 2025
    Article
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  13. Review
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  17. Review
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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

4 authors.

Mathilde CouletSanofi R&D, 94400 Vitry-sur-Seine, France.
Oliver KeppMetabolomics and Cell Biology Platforms, Gustave Roussy Cancer Center, 94800 Villejuif, France.ORCID 0000-0002-6081-9558
Guido KroemerMetabolomics and Cell Biology Platforms, Gustave Roussy Cancer Center, 94800 Villejuif, France.ORCID 0000-0002-9334-4405
Stéphane BasmaciogullariSanofi R&D, 94400 Vitry-sur-Seine, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As indicated by an ever-increasing number of FDA approvals, biotherapeutics constitute powerful tools for the treatment of various diseases, with monoclonal antibodies (mAbs) accounting for more than 50% of newly approved drugs between 2014 and 2018 (Walsh, 2018). The pharmaceutical industry has made great progress in developing reliable and efficient bioproduction processes to meet the demand for recombinant mAbs. Mammalian cell lines are preferred for the production of functional, complex recombinant proteins including mAbs, with Chinese hamster ovary (CHO) cells being used in most instances. Despite significant advances in cell growth control for biologics manufacturing, cellular responses to environmental changes need to be understood in order to further improve productivity. Metabolomics offers a promising approach for developing suitable strategies to unlock the full potential of cellular production. This review summarizes key findings on catabolism and anabolism for each phase of cell growth (exponential growth, the stationary phase and decline) with a focus on the principal metabolic pathways (glycolysis, the pentose phosphate pathway and the tricarboxylic acid cycle) and the families of biomolecules that impact these circuities (nucleotides, amino acids, lipids and energy-rich metabolites).

Indexed as

Metabolic Networks and PathwaysMetabolomicsAnimalsAntibodies, MonoclonalCHO CellsCricetinaeCricetulusRecombinant ProteinsAntibodies, MonoclonalRecombinant Proteinsimmunotherapyindustrial productionmetabolomicsmonoclonal antibodiesprocess optimization

Identifiers

PMID35741058
PMCPMC9221972

What OpenQuestion holds

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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.