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Synthetic Metabolic Pathways

Overview of attention for book
Cover of 'Synthetic Metabolic Pathways'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Parts Characterization for Tunable Protein Expression
  3. Altmetric Badge
    Chapter 2 Enzyme Nicotinamide Cofactor Specificity Reversal Guided by Automated Structural Analysis and Library Design
  4. Altmetric Badge
    Chapter 3 Bacterial Genome Editing Strategy for Control of Transcription and Protein Stability
  5. Altmetric Badge
    Chapter 4 An Automated Pipeline for Engineering Many-Enzyme Pathways: Computational Sequence Design, Pathway Expression-Flux Mapping, and Scalable Pathway Optimization
  6. Altmetric Badge
    Chapter 5 Computational Approaches on Stoichiometric and Kinetic Modeling for Efficient Strain Design
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    Chapter 6 Extended Metabolic Space Modeling
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    Chapter 7 Computational Methods to Assess the Production Potential of Bio-Based Chemicals
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    Chapter 8 Multiplex Genome Editing in Escherichia coli
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    Chapter 9 Designing and Implementing Algorithmic DNA Assembly Pipelines for Multi-Gene Systems
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    Chapter 10 An Adaptive Laboratory Evolution Method to Accelerate Autotrophic Metabolism
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    Chapter 11 CRISPR-Cas9 Toolkit for Actinomycete Genome Editing
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    Chapter 12 Assembly and Multiplex Genome Integration of Metabolic Pathways in Yeast Using CasEMBLR
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    Chapter 13 A Modified Gibson Assembly Method for Cloning Large DNA Fragments with High GC Contents
  15. Altmetric Badge
    Chapter 14 Coupling Yeast Golden Gate and VEGAS for Efficient Assembly of the Violacein Pathway in Saccharomyces cerevisiae
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    Chapter 15 Multi-capillary Column Ion Mobility Spectrometry of Volatile Metabolites for Phenotyping of Microorganisms
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    Chapter 16 Selection of Highly Expressed Gene Variants in Escherichia coli Using Translationally Coupled Antibiotic Selection Markers
  18. Altmetric Badge
    Chapter 17 Design, Engineering, and Characterization of Prokaryotic Ligand-Binding Transcriptional Activators as Biosensors in Yeast
  19. Altmetric Badge
    Chapter 18 A Capture-SELEX Strategy for Multiplexed Selection of RNA Aptamers Against Small Molecules
  20. Altmetric Badge
    Chapter 19 High-Throughput Microfluidics for the Screening of Yeast Libraries
  21. Altmetric Badge
    Chapter 20 Growth-Coupled Carotenoids Production Using Adaptive Laboratory Evolution
  22. Altmetric Badge
    Chapter 21 Two-Scale 13C Metabolic Flux Analysis for Metabolic Engineering
Attention for Chapter 11: CRISPR-Cas9 Toolkit for Actinomycete Genome Editing
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

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Chapter title
CRISPR-Cas9 Toolkit for Actinomycete Genome Editing
Chapter number 11
Book title
Synthetic Metabolic Pathways
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7295-1_11
Pubmed ID
Book ISBNs
978-1-4939-7294-4, 978-1-4939-7295-1
Authors

Yaojun Tong, Helene Lunde Robertsen, Kai Blin, Tilmann Weber, Sang Yup Lee, Tong, Yaojun, Robertsen, Helene Lunde, Blin, Kai, Weber, Tilmann, Lee, Sang Yup

Abstract

Bacteria of the order Actinomycetales are one of the most important sources of bioactive natural products, which are the source of many drugs. However, many of them still lack efficient genome editing methods, some strains even cannot be manipulated at all. This restricts systematic metabolic engineering approaches for boosting known and discovering novel natural products. In order to facilitate the genome editing for actinomycetes, we developed a CRISPR-Cas9 toolkit with high efficiency for actinomyces genome editing. This basic toolkit includes a software for spacer (sgRNA) identification, a system for in-frame gene/gene cluster knockout, a system for gene loss-of-function study, a system for generating a random size deletion library, and a system for gene knockdown. For the latter, a uracil-specific excision reagent (USER) cloning technology was adapted to simplify the CRISPR vector construction process. The application of this toolkit was successfully demonstrated by perturbation of genomes of Streptomyces coelicolor A3(2) and Streptomyces collinus Tü 365. The CRISPR-Cas9 toolkit and related protocol described here can be widely used for metabolic engineering of actinomycetes.

X Demographics

X Demographics

The data shown below were collected from the profiles of 28 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 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 80 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 21%
Researcher 16 20%
Student > Master 12 15%
Student > Bachelor 5 6%
Student > Doctoral Student 4 5%
Other 9 11%
Unknown 17 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 31 39%
Agricultural and Biological Sciences 17 21%
Chemical Engineering 3 4%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Engineering 2 3%
Other 5 6%
Unknown 20 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 25 July 2018.
All research outputs
#2,348,278
of 24,473,185 outputs
Outputs from Methods in molecular biology
#382
of 13,800 outputs
Outputs of similar age
#53,181
of 451,887 outputs
Outputs of similar age from Methods in molecular biology
#19
of 1,482 outputs
Altmetric has tracked 24,473,185 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,800 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 97% 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 451,887 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 1,482 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.