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Microbial Metabolic Engineering

Overview of attention for book
Cover of 'Microbial Metabolic Engineering'

Table of Contents

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    Book Overview
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    Chapter 1 Screening for Cellulases with Industrial Value and Their Use in Biomass Conversion
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    Chapter 2 Reversal of NAD(P)H Cofactor Dependence by Protein Engineering
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    Chapter 3 Quantifying plasmid copy number to investigate plasmid dosage effects associated with directed protein evolution.
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    Chapter 4 High Isoprenoid Flux Escherichia coli as a Host for Carotenoids Production
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    Chapter 5 Mutagenic Inverted Repeats Assisted Genome Engineering (MIRAGE) in Saccharomyces cerevisiae: Deletion of gal7.
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    Chapter 6 Creation of New Metabolic Pathways or Improvement of Existing Metabolic Enzymes by In Vivo Evolution in Escherichia coli.
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    Chapter 7 Bioluminescent Reporter Genes for Promoter Discovery
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    Chapter 8 Recombination-Based DNA Assembly and Mutagenesis Methods for Metabolic Engineering
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    Chapter 9 Microbial Metabolic Engineering
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    Chapter 10 Use of Proteomic Tools in Microbial Engineering for Biofuel Production
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    Chapter 11 Metabolic Engineering of Antibiotic-Producing Actinomycetes Using In Vitro Transposon Mutagenesis
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    Chapter 12 Use FACS Sorting in Metabolic Engineering of Escherichia coli for Increased Peptide Production.
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    Chapter 13 Using Flux Balance Analysis to Guide Microbial Metabolic Engineering
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    Chapter 14 Using an Advanced Microfermentor System for Strain Screening and Fermentation Optimization
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    Chapter 15 Rapid Strain Evaluation Using Dynamic DO-Stat Fed-Batch Fermentation Under Scale-Down Conditions
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    Chapter 16 Preparation and Evaluation of Lignocellulosic Biomass Hydrolysates for Growth by Ethanologenic Yeasts
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    Chapter 17 Engineering Whole-Cell Biosensors with No Antibiotic Markers for Monitoring Aromatic Compounds in the Environment
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    Chapter 18 Metabolic Engineering for Acetate Control in Large Scale Fermentation
  20. Altmetric Badge
    Chapter 19 Minimization and Prevention of Phage Infections in Bioprocesses
Attention for Chapter 5: Mutagenic Inverted Repeats Assisted Genome Engineering (MIRAGE) in Saccharomyces cerevisiae: Deletion of gal7.
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Chapter title
Mutagenic Inverted Repeats Assisted Genome Engineering (MIRAGE) in Saccharomyces cerevisiae: Deletion of gal7.
Chapter number 5
Book title
Microbial Metabolic Engineering
Published in
Methods in molecular biology, December 2011
DOI 10.1007/978-1-61779-483-4_5
Pubmed ID
Book ISBNs
978-1-61779-482-7, 978-1-61779-483-4
Authors

Nair NU, Zhao H, Nikhil U. Nair, Huimin Zhao, Nair, Nikhil U., Zhao, Huimin

Abstract

MIRAGE is a unique in vivo genome editing technique that exploits the inherent instability of inverted repeats (palindromes) in the Saccharomyces cerevisiae chromosome. As a technique able to quickly create deletions as well as precise point mutations, it is valuable in applications that require creation of designer strains of this yeast. In particular, it has various potential applications in metabolic engineering, systems biology, synthetic biology, and molecular genetics.

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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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 1 6%
Australia 1 6%
Unknown 15 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 29%
Other 2 12%
Professor 2 12%
Lecturer 1 6%
Student > Bachelor 1 6%
Other 4 24%
Unknown 2 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 53%
Biochemistry, Genetics and Molecular Biology 3 18%
Unspecified 1 6%
Engineering 1 6%
Unknown 3 18%
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 09 December 2011.
All research outputs
#18,303,139
of 22,660,862 outputs
Outputs from Methods in molecular biology
#7,810
of 13,020 outputs
Outputs of similar age
#195,775
of 240,850 outputs
Outputs of similar age from Methods in molecular biology
#314
of 463 outputs
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So far Altmetric has tracked 13,020 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.
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We're also able to compare this research output to 463 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.