Evidence map›Paper›PMID 32662873›Full record

ArticleBiotechnology and bioengineering2020

Random epigenetic modulation of CHO cells by repeated knockdown of DNA methyltransferases increases population diversity and enables sorting of cells with higher production capacities.

Marcus Weinguny, Peter Eisenhut, Gerald Klanert, Nikolaus Virgolini, Nicolas Marx, Andreas Jonsson, Daniel Ivansson, Ann Lövgren, Nicole Borth

Open access · hybridAbstract read
In one paragraph

Article in Biotechnology and bioengineering, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 19% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
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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

9 authors at 2 institutions in 2 countries.

Marcus WeingunyACIB-Austrian Centre of Industrial Biotechnology, Graz, Austria.ORCID 0000-0002-1934-2786
Peter EisenhutACIB-Austrian Centre of Industrial Biotechnology, Graz, Austria.ORCID 0000-0002-8285-1049
Gerald KlanertACIB-Austrian Centre of Industrial Biotechnology, Graz, Austria.
Nikolaus VirgoliniACIB-Austrian Centre of Industrial Biotechnology, Graz, Austria.
Nicolas MarxACIB-Austrian Centre of Industrial Biotechnology, Graz, Austria.ORCID 0000-0001-8846-7673
Andreas JonssonCytiva, Uppsala, Sweden.
Daniel IvanssonCytiva, Uppsala, Sweden.
Ann LövgrenCytiva, Uppsala, Sweden.
Nicole BorthACIB-Austrian Centre of Industrial Biotechnology, Graz, Austria.ORCID 0000-0001-6324-9338
Austrian Centre of Industrial Biotechnology (Austria) · ATUppsala University · SE

Funding

Austrian Science Fund FWF W 1224
6 · The paper itself

Abstract

Chinese hamster ovary (CHO) cells produce a large share of today's biopharmaceuticals. Still, the generation of satisfactory producer cell lines is a tedious undertaking. Recently, it was found that CHO cells, when exposed to new environmental conditions, modify their epigenome, suggesting that cells adapt their gene expression pattern to handle new challenges. The major aim of the present study was to employ artificially induced, random changes in the DNA-methylation pattern of CHO cells to diversify cell populations and consequently increase the finding of cell lines with improved cellular characteristics. To achieve this, DNA methyltransferases and/or the ten-eleven translocation enzymes were downregulated by RNA interference over a time span of ∼16 days. Methylation analysis of the resulting cell pools revealed that the knockdown of DNA methyltransferases was highly effective in randomly demethylating the genome. The same approach, when applied to stable CHO producer cells resulted in (a) an increased productivity diversity in the cell population, and (b) a higher number of outliers within the population, which resulted in higher specific productivity and titer in the sorted cells. These findings suggest that epigenetics play a previously underestimated, but actually important role in defining the overall cellular behavior of production clones.

Indexed as

Gene Knockdown TechniquesAnimalsCHO CellsCricetulusDNA MethylationDNA Modification MethylasesEpigenesis, GeneticGene ExpressionRecombinant ProteinsRNA InterferenceDNA Modification MethylasesRecombinant Proteinscell line developmentCHO cellsDNA methylationepigenetic modulationproductivity improvement

Identifiers

PMID32662873
PMCPMC7818401
OpenAlexW3042615841

What OpenQuestion holds

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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.