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RNA‐Seq Highlights High Clonal Variation in Monoclonal Antibody Producing CHO Cells

Overview of attention for article published in Biotechnology Journal, February 2018
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Title
RNA‐Seq Highlights High Clonal Variation in Monoclonal Antibody Producing CHO Cells
Published in
Biotechnology Journal, February 2018
DOI 10.1002/biot.201700231
Pubmed ID
Authors

Camila A. Orellana, Esteban Marcellin, Robin W. Palfreyman, Trent P. Munro, Peter P. Gray, Lars K. Nielsen

Abstract

The development of next-generation sequencing technologies has opened new opportunities to better characterize complex eukaryotic cells. Chinese hamster ovary (CHO) cells play a primary role in therapeutic protein production, with currently five of the top ten blockbuster drugs produced in CHO. However, engineering superior CHO cells with improved production features has had limited success to date and cell lines are still developed through the generation and screening of large strain pools. Here, we applied RNA sequencing to contrast a high and a low monoclonal antibody producing cell line. Rigorous experimental design achieved high reproducibility between biological replicates, remarkably reducing variation to less than 10%. More than 14,000 gene-transcripts were identified and surprisingly 58% were classified as differentially expressed, including 2,900 with a fold change higher than 1.5. The largest differences were found for gene-transcripts belonging to regulation of apoptosis, cell death and protein intracellular transport GO term classifications, which were found to be significantly enriched in the high producing cell line. RNA sequencing was also performed on subclones, where down-regulation of genes encoding secreted glycoproteins was found to be the most significant change. The large number of significant differences even between subclones challenges the notion of identifying and manipulating a few key genes to generate high production CHO cell lines.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 25%
Student > Bachelor 7 12%
Student > Master 6 10%
Researcher 6 10%
Student > Postgraduate 5 8%
Other 10 17%
Unknown 11 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 26 43%
Chemical Engineering 6 10%
Engineering 6 10%
Agricultural and Biological Sciences 5 8%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 2 3%
Unknown 14 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 10 January 2018.
All research outputs
#19,177,100
of 24,417,958 outputs
Outputs from Biotechnology Journal
#1,411
of 1,707 outputs
Outputs of similar age
#320,291
of 448,494 outputs
Outputs of similar age from Biotechnology Journal
#23
of 39 outputs
Altmetric has tracked 24,417,958 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,707 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one is in the 15th percentile – i.e., 15% of its peers scored the same or lower than it.
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 448,494 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.