Evidence map›Paper›PMID 33040240›Full record

ArticleBiotechnology letters2021

Systematically gap-filling the genome-scale metabolic model of CHO cells.

Hamideh Fouladiha, Sayed-Amir Marashi, Shangzhong Li, Zerong Li, Helen O Masson, Behrouz Vaziri, Nathan E Lewis

Abstract read
PubMed Publisher
In one paragraph

Article in Biotechnology letters, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Advances of Glycometabolism Engineering in Chinese Hamster Ovary Cells.Frontiers in bioengineering and biotechnology · 2021
    Review
  15. The era of big data: Genome-scale modelling meets machine learning.Computational and structural biotechnology journal · 2020
    Review
  16. 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

7 authors.

Hamideh FouladihaDepartment of Biotechnology, College of Science, University of Tehran, Tehran, Iran.
Sayed-Amir MarashiDepartment of Biotechnology, College of Science, University of Tehran, Tehran, Iran. marashi@ut.ac.ir.ORCID http://orcid.org/0000-0001-9801-7449
Shangzhong LiDepartment of Bioengineering, University of California, San Diego, USA.
Zerong LiNovo Nordisk Foundation Center for Biosustainability, University of California, San Diego, USA.
Helen O MassonDepartment of Bioengineering, University of California, San Diego, USA.
Behrouz VaziriProtein Chemistry and Proteomics Laboratory, Biotechnology Research Center, Pasteur Institute of Iran, Tehran, Iran.
Nathan E LewisDepartment of Bioengineering, University of California, San Diego, USA.

Funding

Novo Nordisk Fonden NNF10CC1016517
6 · The paper itself

Abstract

objectiveChinese hamster ovary (CHO) cells are the leading cell factories for producing recombinant proteins in the biopharmaceutical industry. In this regard, constraint-based metabolic models are useful platforms to perform computational analysis of cell metabolism. These models need to be regularly updated in order to include the latest biochemical data of the cells, and to increase their predictive power. Here, we provide an update to iCHO1766, the metabolic model of CHO cells.

resultsWe expanded the existing model of Chinese hamster metabolism with the help of four gap-filling approaches, leading to the addition of 773 new reactions and 335 new genes. We incorporated these into an updated genome-scale metabolic network model of CHO cells, named iCHO2101. In this updated model, the number of reactions and pathways capable of carrying flux is substantially increased.

conclusionsThe present CHO model is an important step towards more complete metabolic models of CHO cells.

Indexed as

Models, BiologicalAnimalsCHO CellsCricetinaeCricetulusGenomeMetabolic Networks and PathwaysRecombinant ProteinsSystems BiologyRecombinant ProteinsCHO cellsConstraint-based modelingGap-fillingMetabolic network modelsSystems biology

Identifiers

What OpenQuestion holds

Textmetadata
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.