Evidence map›Paper›PMID 36866411›Full record

ArticleBiotechnology and bioengineering2023

How reliable are Chinese hamster ovary (CHO) cell genome-scale metabolic models?

Benjamin Strain, James Morrissey, Athanasios Antonakoudis, Cleo Kontoravdi

Open access · hybridAbstract read
In one paragraph

Article in Biotechnology and bioengineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

15 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
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  9. Multi-scale design and optimization of antibody production via flexible nets.Computational and structural biotechnology journal · 2025
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  11. Review
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  14. Towards advanced bioprocess optimization: A multiscale modelling approach.Computational and structural biotechnology journal · 2023
    Article
  15. 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

4 authors at 1 institution in 1 country.

Benjamin StrainDepartment of Chemical Engineering, Imperial College London, London, UK.
James MorrisseyDepartment of Chemical Engineering, Imperial College London, London, UK.
Athanasios AntonakoudisDepartment of Chemical Engineering, Imperial College London, London, UK.
Cleo KontoravdiDepartment of Chemical Engineering, Imperial College London, London, UK.ORCID 0000-0003-0213-4830
Imperial College London · GB

Funding

Biotechnology and Biological Sciences Research Council
6 · The paper itself

Abstract

Genome-scale metabolic models (GEMs) possess the power to revolutionize bioprocess and cell line engineering workflows thanks to their ability to predict and understand whole-cell metabolism in silico. Despite this potential, it is currently unclear how accurately GEMs can capture both intracellular metabolic states and extracellular phenotypes. Here, we investigate this knowledge gap to determine the reliability of current Chinese hamster ovary (CHO) cell metabolic models. We introduce a new GEM, iCHO2441, and create CHO-S and CHO-K1 specific GEMs. These are compared against iCHO1766, iCHO2048, and iCHO2291. Model predictions are assessed via comparison with experimentally measured growth rates, gene essentialities, amino acid auxotrophies, and

Indexed as

GenomeMetabolic Networks and PathwaysAnimalsCHO CellsCricetinaeCricetulusReproducibility of ResultsbioprocessingChinese hamster ovary cellsflux analysismetabolic networkrecombinant protein production

Identifiers

PMID36866411
PMCPMC10952175
OpenAlexW4323036391

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.