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Protein Expression in Mammalian Cells

Overview of attention for book
Cover of 'Protein Expression in Mammalian Cells'

Table of Contents

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    Book Overview
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    Chapter 1 Why Proteins in Mammalian Cells?
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    Chapter 2 Large-Scale Transfection of Mammalian Cells
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    Chapter 3 Selection of High Expressing Mammalian Cells by Surface Display of Reporters
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    Chapter 4 Expression of a Secreted Protein in Mammalian Cells Using Baculovirus Particles
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    Chapter 5 Transfection of Difficult-to-Transfect Primary Mammalian Cells
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    Chapter 6 Stable Protein Expression in Mammalian Cells Using Baculoviruses
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    Chapter 7 Protein Expression in Mammalian Cells
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    Chapter 8 Protein Expression in Mammalian Cells
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    Chapter 9 Post-transcriptional Regulatory Elements for Enhancing Transient Gene Expression Levels in Mammalian Cells
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    Chapter 10 Protein Expression in Mammalian Cells
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    Chapter 11 Generation of High-Expressing Cells by Methotrexate Amplification of Destabilized Dihydrofolate Reductase Selection Marker
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    Chapter 12 Protein Expression in Mammalian Cells
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    Chapter 13 Identification and characterization of protein glycosylation using specific endo- and exoglycosidases.
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    Chapter 14 Protein Expression in Mammalian Cells
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    Chapter 15 Methods for Constructing Clones for Protein Expression in Mammalian Cells
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    Chapter 16 Optimizing Transient Recombinant Protein Expression in Mammalian Cells
Attention for Chapter 7: Protein Expression in Mammalian Cells
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  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

Mentioned by

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1 patent

Citations

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7 Dimensions

Readers on

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22 Mendeley
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Chapter title
Protein Expression in Mammalian Cells
Chapter number 7
Book title
Protein Expression in Mammalian Cells
Published in
Methods in molecular biology, September 2011
DOI 10.1007/978-1-61779-352-3_7
Pubmed ID
Book ISBNs
978-1-61779-351-6, 978-1-61779-352-3
Authors

Niamh Harraghy, Montserrat Buceta, Alexandre Regamey, Pierre-Alain Girod, Nicolas Mermod, Harraghy, Niamh, Buceta, Montserrat, Regamey, Alexandre, Girod, Pierre-Alain, Mermod, Nicolas

Editors

James L Hartley

Abstract

Chinese hamster ovary (CHO) cells are the system of choice for the production of complex molecules, such as monoclonal antibodies. Despite significant progress in improving the yield from these cells, the process to the selection, identification, and maintenance of high-producing cell lines remains cumbersome, time consuming, and often of uncertain outcome. Matrix attachment regions (MARs) are DNA sequences that help generate and maintain an open chromatin domain that is favourable to transcription and may also facilitate the integration of several copies of the transgene. By incorporating MARs into expression vectors, an increase in the proportion of high-producer cells as well as an increase in protein production are seen, thereby reducing the number of clones to be screened and time to production by as much as 9 months. In this chapter, we describe how MARs can be used to increase transgene expression and provide protocols for the transfection of CHO cells in suspension and detection of high-producing antibody cell clones.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 41%
Student > Ph. D. Student 4 18%
Other 2 9%
Professor 1 5%
Librarian 1 5%
Other 1 5%
Unknown 4 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 41%
Biochemistry, Genetics and Molecular Biology 4 18%
Engineering 2 9%
Social Sciences 1 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Other 2 9%
Unknown 3 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 13 February 2024.
All research outputs
#8,537,346
of 25,377,790 outputs
Outputs from Methods in molecular biology
#2,639
of 14,166 outputs
Outputs of similar age
#48,166
of 136,076 outputs
Outputs of similar age from Methods in molecular biology
#8
of 32 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,166 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 75% 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 136,076 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.