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Transcriptome study and identification of potential marker genes related to the stable expression of recombinant proteins in CHO clones

Overview of attention for article published in BMC Biotechnology, October 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

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1 news outlet
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2 X users

Citations

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11 Dimensions

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Title
Transcriptome study and identification of potential marker genes related to the stable expression of recombinant proteins in CHO clones
Published in
BMC Biotechnology, October 2015
DOI 10.1186/s12896-015-0218-9
Pubmed ID
Authors

Uros Jamnikar, Petra Nikolic, Ales Belic, Marjanca Blas, Dominik Gaser, Andrej Francky, Holger Laux, Andrej Blejec, Spela Baebler, Kristina Gruden

Abstract

Chinese hamster ovary (CHO) cells have become the host of choice for the production of recombinant proteins, due to their capacity for correct protein folding, assembly, and posttranslational modifications. The most widely used system for recombinant proteins is the gene amplification procedure that uses the CHO-Dhfr expression system. However, CHO cells are known to have a very unstable karyotype. This is due to chromosome rearrangements that can arise from translocations and homologous recombination, especially when cells with the CHO-Dhfr expression system are treated with methotrexate hydrate. The present method used in the industry for testing clones for their long-term stability of recombinant protein production is empirical, and it involves their cultivation over extended periods of time prior to the selection of the most suitable clone for further bioprocess development. The aim of the present study was the identification of marker genes that can predict stable expression of recombinant genes in particular clones early in the development stage. The transcriptome profiles of CHO clones with stable and unstable recombinant protein production were investigated over 10-weeks of cultivation, using a DNA microarray. We identified 14 genes that were differentially expressed between the stable and unstable clones already at 2 weeks from the beginning of the cultivation. Their expression was validated by reverse-transcription quantitative real-time PCR (RT-qPCR). Furthermore, the k-nearest neighbour algorithm approach shows that the combination of the gene expression patterns of only five of these 14 genes is sufficient to predict stable recombinant protein production in clones in the early phases of cell-line development. The exact molecular mechanisms that cause unstable recombinant protein production are not fully understood. However, the expression profiles of some genes in clones with stable and unstable recombinant protein production allow prediction of such instability early in the cell-line development stage. We have thus developed a proof-of-concept for a novel approach to eliminate unstable clones in the CHO-Dhfr expression system, which saves time and labour-intensive work in cell-line development.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Denmark 1 1%
Slovenia 1 1%
Switzerland 1 1%
Unknown 72 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 28%
Other 11 14%
Student > Ph. D. Student 11 14%
Student > Master 7 9%
Student > Bachelor 5 7%
Other 9 12%
Unknown 12 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 28%
Biochemistry, Genetics and Molecular Biology 20 26%
Engineering 9 12%
Chemical Engineering 4 5%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Other 6 8%
Unknown 14 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 October 2015.
All research outputs
#2,822,285
of 22,830,751 outputs
Outputs from BMC Biotechnology
#101
of 935 outputs
Outputs of similar age
#41,722
of 283,600 outputs
Outputs of similar age from BMC Biotechnology
#4
of 26 outputs
Altmetric has tracked 22,830,751 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 935 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one has done well, scoring higher than 88% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 283,600 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.