Evidence map›Paper›PMID 27072894›Full record

ArticleBiotechnology and bioengineering2016

Comprehensive genome and epigenome characterization of CHO cells in response to evolutionary pressures and over time.

Julia Feichtinger, Inmaculada Hernández, Christoph Fischer, Michael Hanscho, Norbert Auer, Matthias Hackl, Vaibhav Jadhav, Martina Baumann, Peter M Krempl, Christian Schmidl and 9 more

Abstract read
In one paragraph

Article in Biotechnology and bioengineering, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing 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

58 citing papers in PubMed.

  1. Review
  2. Article
  3. Comparative Analysis of HEK293 Genomic Variability.Biotechnology and bioengineering · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Fantastic genes and where to find them expressed in CHO.Computational and structural biotechnology journal · 2025
    Article
  10. The 'Omics Revolution in CHO Biology: Roadmap to Improved CHO Productivity.Methods in molecular biology (Clifton, N.J.) · 2025
    Review
  11. Article
  12. Article
  13. Article
  14. Accelerating Diverse Cell-Based Therapies Through Scalable Design.Annual review of chemical and biomolecular engineering · 2024
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

19 authors.

Julia FeichtingerAustrian Center of Industrial Biotechnology, Muthgasse 11, Vienna, 1190, Austria.
Inmaculada HernándezAustrian Center of Industrial Biotechnology, Muthgasse 11, Vienna, 1190, Austria.
Christoph FischerAustrian Center of Industrial Biotechnology, Muthgasse 11, Vienna, 1190, Austria.
Michael HanschoAustrian Center of Industrial Biotechnology, Muthgasse 11, Vienna, 1190, Austria.
Norbert AuerUniversity of Natural Resources and Life Sciences Vienna, Muthgasse 18, Vienna, 1190, Austria.
Matthias HacklUniversity of Natural Resources and Life Sciences Vienna, Muthgasse 18, Vienna, 1190, Austria.
Vaibhav JadhavAustrian Center of Industrial Biotechnology, Muthgasse 11, Vienna, 1190, Austria.
Martina BaumannAustrian Center of Industrial Biotechnology, Muthgasse 11, Vienna, 1190, Austria.
Peter M KremplAustrian Center of Industrial Biotechnology, Muthgasse 11, Vienna, 1190, Austria.
Christian SchmidlCeMM Research Center for Molecular Medicine, Austrian Academy of Sciences, Vienna, Austria.
Matthias FarlikCeMM Research Center for Molecular Medicine, Austrian Academy of Sciences, Vienna, Austria.
Michael SchusterCeMM Research Center for Molecular Medicine, Austrian Academy of Sciences, Vienna, Austria.
Angelika MerkelCenter for Genomic Regulation (CRG), Barcelona, Spain.
Andreas SommerResearch Institute of Molecular Pathology, Vienna, Austria.
Simon HeathCenter for Genomic Regulation (CRG), Barcelona, Spain.
Daniel RicoSpanish National Cancer Research Center (CNIO), Madrid, Spain.
Christoph BockCeMM Research Center for Molecular Medicine, Austrian Academy of Sciences, Vienna, Austria.
Gerhard G ThallingerAustrian Center of Industrial Biotechnology, Muthgasse 11, Vienna, 1190, Austria.
Nicole BorthAustrian Center of Industrial Biotechnology, Muthgasse 11, Vienna, 1190, Austria. nicole.borth@boku.ac.at.

Funding

Austrian Science Fund FWF W 1224
6 · The paper itself

Abstract

The most striking characteristic of CHO cells is their adaptability, which enables efficient production of proteins as well as growth under a variety of culture conditions, but also results in genomic and phenotypic instability. To investigate the relative contribution of genomic and epigenetic modifications towards phenotype evolution, comprehensive genome and epigenome data are presented for six related CHO cell lines, both in response to perturbations (different culture conditions and media as well as selection of a specific phenotype with increased transient productivity) and in steady state (prolonged time in culture under constant conditions). Clear transitions were observed in DNA-methylation patterns upon each perturbation, while few changes occurred over time under constant conditions. Only minor DNA-methylation changes were observed between exponential and stationary growth phase; however, throughout a batch culture the histone modification pattern underwent continuous adaptation. Variation in genome sequence between the six cell lines on the level of SNPs, InDels, and structural variants is high, both upon perturbation and under constant conditions over time. The here presented comprehensive resource may open the door to improved control and manipulation of gene expression during industrial bioprocesses based on epigenetic mechanisms. Biotechnol. Bioeng. 2016;113: 2241-2253. © 2016 The Authors. Biotechnology and Bioengineering Published by Wiley Periodicals, Inc.

Indexed as

Evolution, MolecularAdaptation, PhysiologicalAnimalsCHO CellsCricetulusEpigenesis, GeneticGenetic VariationGenomeGenomic InstabilityPolymorphism, Single NucleotideSelection, GeneticTime FactorsChinese hamster ovary cellsDNA-methylationepigenomegenome variationhistone modifications

Identifiers

PMID27072894
PMCPMC5006888

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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.