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Animal Cell Biotechnology

Overview of attention for book
Cover of 'Animal Cell Biotechnology'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 High-Throughput Synchronization of Mammalian Cell Cultures by Spiral Microfluidics
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    Chapter 2 Insect Cell Line Development Using Flp-Mediated Cassette Exchange Technology
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    Chapter 3 Scalable Transient Gene Expression in Adherent Mammalian Cells Using Polyethylenimine
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    Chapter 4 Scalable Transient Protein Expression
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    Chapter 5 DNA Profiling and Characterization of Animal Cell Lines
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    Chapter 6 Tools for High-Throughput Process and Medium Optimization
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    Chapter 7 Designing Media for Animal Cell Culture: CHO Cells, the Industrial Standard.
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    Chapter 8 Feed Optimization in Fed-Batch Culture
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    Chapter 9 Screening and Optimization of Chemically Defined Media and Feeds with Integrated and Statistical Approaches
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    Chapter 10 Evaluation of Solid and Porous Microcarriers for Cell Growth and Production of Recombinant Proteins
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    Chapter 11 Microbioreactors and Scale-Down Models: Growth of CHO Cells Using the Pall Micro24 MicroReactor System.
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    Chapter 12 Monitoring cell growth, viability, and apoptosis.
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    Chapter 13 Metabolic Flux Estimation in Mammalian Cell Cultures
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    Chapter 14 Quenching Methods for the Analysis of Intracellular Metabolites
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    Chapter 15 NMR Methods for Metabolomics of Mammalian Cell Culture Bioreactors
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    Chapter 16 1 H-NMR Protocol for Exometabolome Analysis of Cultured Mammalian Cells
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    Chapter 17 Microfluidic Perfusion Culture
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    Chapter 18 Disposable Bioreactors for Inoculum Production and Protein Expression
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    Chapter 19 Configuration of Bioreactors
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    Chapter 20 Process Analytical Technology (PAT) in Insect and Mammalian Cell Culture Processes: Dielectric Spectroscopy and Focused Beam Reflectance Measurement (FBRM).
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    Chapter 21 Cell Assessment by At-line Microscopy
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    Chapter 22 Seed Train Optimization for Cell Culture
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    Chapter 23 Vaccine Production: Upstream Processing with Adherent or Suspension Cell Lines
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    Chapter 24 Efficient Processes for Protein Expression Using Recombinant Baculovirus Particles
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    Chapter 25 Chromatographic Techniques in the Downstream Processing of Proteins in Biotechnology
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    Chapter 26 Virus Separation Using Membranes
Attention for Chapter 15: NMR Methods for Metabolomics of Mammalian Cell Culture Bioreactors
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Chapter title
NMR Methods for Metabolomics of Mammalian Cell Culture Bioreactors
Chapter number 15
Book title
Animal Cell Biotechnology
Published in
Methods in molecular biology, January 2014
DOI 10.1007/978-1-62703-733-4_15
Pubmed ID
Book ISBNs
978-1-62703-732-7, 978-1-62703-733-4
Authors

Nelly Aranibar, Michael D. Reily, Aranibar, Nelly, Reily, Michael D.

Abstract

Metabolomics has become an important tool for measuring pools of small molecules in mammalian cell cultures expressing therapeutic proteins. NMR spectroscopy has played an important role, largely because it requires minimal sample preparation, does not require chromatographic separation, and is quantitative. The concentrations of large numbers of small molecules in the extracellular media or within the cells themselves can be measured directly on the culture supernatant and on the supernatant of the lysed cells, respectively, and correlated with endpoints such as titer, cell viability, or glycosylation patterns. The observed changes can be used to generate hypotheses by which these parameters can be optimized. This chapter focuses on the sample preparation, data acquisition, and analysis to get the most out of NMR metabolomics data from CHO cell cultures but could easily be extended to other in vitro culture systems.

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X Demographics

The data shown below were collected from the profile of 1 X user 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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 5%
Germany 1 5%
Unknown 20 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 27%
Student > Ph. D. Student 6 27%
Student > Bachelor 2 9%
Student > Master 2 9%
Professor > Associate Professor 1 5%
Other 0 0%
Unknown 5 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 45%
Biochemistry, Genetics and Molecular Biology 2 9%
Engineering 2 9%
Chemistry 2 9%
Medicine and Dentistry 1 5%
Other 0 0%
Unknown 5 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 29 July 2014.
All research outputs
#18,375,064
of 22,758,963 outputs
Outputs from Methods in molecular biology
#7,870
of 13,089 outputs
Outputs of similar age
#229,386
of 305,274 outputs
Outputs of similar age from Methods in molecular biology
#294
of 596 outputs
Altmetric has tracked 22,758,963 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,089 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 24th percentile – i.e., 24% 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 305,274 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 596 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.