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Advances in Glycobiotechnology

Overview of attention for book
Advances in Glycobiotechnology
Springer International Publishing
Attention for Chapter: Glycoengineering of Mammalian Expression Systems on a Cellular Level
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Chapter title
Glycoengineering of Mammalian Expression Systems on a Cellular Level
Book title
Advances in Glycobiotechnology
Published in
Advances in biochemical engineering biotechnology, March 2018
DOI 10.1007/10_2017_57
Pubmed ID
Book ISBNs
978-3-03-069589-7, 978-3-03-069590-3
Authors

Kelley M. Heffner, Qiong Wang, Deniz Baycin Hizal, Özge Can, Michael J. Betenbaugh, Heffner, Kelley M., Wang, Qiong, Hizal, Deniz Baycin, Can, Özge, Betenbaugh, Michael J.

Abstract

Mammalian expression systems such as Chinese hamster ovary (CHO), mouse myeloma (NS0), and human embryonic kidney (HEK) cells serve a critical role in the biotechnology industry as the production host of choice for recombinant protein therapeutics. Most of the recombinant biologics are glycoproteins that contain complex oligosaccharide or glycan attachments representing a principal component of product quality. Both N-glycans and O-glycans are present in these mammalian cells, but the engineering of N-linked glycosylation is of critical interest in industry and many efforts have been directed to improve this pathway. This is because altering the N-glycan composition can change the product quality of recombinant biotherapeutics in mammalian hosts. In addition, sialylation and fucosylation represent components of the glycosylation pathway that affect circulatory half-life and antibody-dependent cellular cytotoxicity, respectively. In this chapter, we first offer an overview of the glycosylation, sialylation, and fucosylation networks in mammalian cells, specifically CHO cells, which are extensively used in antibody production. Next, genetic engineering technologies used in CHO cells to modulate glycosylation pathways are described. We provide examples of their use in CHO cell engineering approaches to highlight these technologies further. Specifically, we describe efforts to overexpress glycosyltransferases and sialyltransfereases, and efforts to decrease sialidase cleavage and fucosylation. Finally, this chapter covers new strategies and future directions of CHO cell glycoengineering, such as the application of glycoproteomics, glycomics, and the integration of 'omics' approaches to identify, quantify, and characterize the glycosylated proteins in CHO cells. Graphical Abstract.

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 20%
Student > Ph. D. Student 9 20%
Student > Master 5 11%
Student > Doctoral Student 2 4%
Student > Bachelor 2 4%
Other 7 16%
Unknown 11 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 29%
Agricultural and Biological Sciences 6 13%
Chemical Engineering 5 11%
Medicine and Dentistry 2 4%
Unspecified 1 2%
Other 4 9%
Unknown 14 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 14 March 2018.
All research outputs
#14,264,158
of 23,302,246 outputs
Outputs from Advances in biochemical engineering biotechnology
#99
of 225 outputs
Outputs of similar age
#184,041
of 334,305 outputs
Outputs of similar age from Advances in biochemical engineering biotechnology
#1
of 1 outputs
Altmetric has tracked 23,302,246 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 225 research outputs from this source. They receive a mean Attention Score of 4.6. This one has gotten more attention than average, scoring higher than 55% 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 334,305 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them