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Synthetic Biology – Metabolic Engineering

Overview of attention for book
Attention for Chapter 2: Synergizing 13C Metabolic Flux Analysis and Metabolic Engineering for Biochemical Production
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Citations

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Chapter title
Synergizing 13C Metabolic Flux Analysis and Metabolic Engineering for Biochemical Production
Chapter number 2
Book title
Synthetic Biology – Metabolic Engineering
Published in
Advances in biochemical engineering biotechnology, January 2017
DOI 10.1007/10_2017_2
Pubmed ID
Book ISBNs
978-3-31-955317-7, 978-3-31-955318-4
Authors

Weihua Guo, Jiayuan Sheng, Xueyang Feng

Abstract

Metabolic engineering of industrial microorganisms to produce chemicals, fuels, and drugs has attracted increasing interest as it provides an environment-friendly and renewable route that does not depend on depleting petroleum sources. However, the microbial metabolism is so complex that metabolic engineering efforts often have difficulty in achieving a satisfactory yield, titer, or productivity of the target chemical. To overcome this challenge, (13)C Metabolic Flux Analysis ((13)C-MFA) has been developed to investigate rigorously the cell metabolism and quantify the carbon flux distribution in central metabolic pathways. In the past decade, (13)C-MFA has been widely used in academic labs and the biotechnology industry to pinpoint the key issues related to microbial-based chemical production and to guide the development of the appropriate metabolic engineering strategies for improving the biochemical production. In this chapter we introduce the basics of (13)C-MFA and illustrate how (13)C-MFA has been applied to synergize with metabolic engineering to identify and tackle the rate-limiting steps in biochemical production.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 1 3%
Unknown 28 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 24%
Researcher 5 17%
Professor 3 10%
Student > Master 3 10%
Student > Bachelor 2 7%
Other 5 17%
Unknown 4 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 28%
Agricultural and Biological Sciences 6 21%
Chemical Engineering 2 7%
Immunology and Microbiology 2 7%
Business, Management and Accounting 1 3%
Other 3 10%
Unknown 7 24%