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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
  7. Altmetric Badge
    Chapter 6 Extended Metabolic Space Modeling
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    Chapter 7 Computational Methods to Assess the Production Potential of Bio-Based Chemicals
  9. Altmetric Badge
    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
  11. Altmetric Badge
    Chapter 10 An Adaptive Laboratory Evolution Method to Accelerate Autotrophic Metabolism
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    Chapter 11 CRISPR-Cas9 Toolkit for Actinomycete Genome Editing
  13. Altmetric Badge
    Chapter 12 Assembly and Multiplex Genome Integration of Metabolic Pathways in Yeast Using CasEMBLR
  14. Altmetric Badge
    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
  16. Altmetric Badge
    Chapter 15 Multi-capillary Column Ion Mobility Spectrometry of Volatile Metabolites for Phenotyping of Microorganisms
  17. Altmetric Badge
    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 13: A Modified Gibson Assembly Method for Cloning Large DNA Fragments with High GC Contents
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  • High Attention Score compared to outputs of the same age and source (87th percentile)

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Chapter title
A Modified Gibson Assembly Method for Cloning Large DNA Fragments with High GC Contents
Chapter number 13
Book title
Synthetic Metabolic Pathways
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7295-1_13
Pubmed ID
Book ISBNs
978-1-4939-7294-4, 978-1-4939-7295-1
Authors

Lei Li, Weihong Jiang, Yinhua Lu

Abstract

Gibson one-step, isothermal assembly method (Gibson assembly) can be used to efficiently assemble large DNA molecules by in vitro recombination involving a 5'-exonuclease, a DNA polymerase and a DNA ligase. In the past few years, this robust DNA assembly method has been widely applied to seamlessly construct genes, genetic pathways and even entire genomes. Here, we expand this method to clone large DNA fragments with high GC contents, such as antibiotic biosynthetic gene clusters from Streptomyces . Due to the low isothermal condition (50 °C) in the Gibson reaction system, the complementary overlaps with high GC contents are proposed to easily form mismatched linker pairings, which leads to low assembly efficiencies mainly due to vector self-ligation. So, we modified this classic method by the following two steps. First, a pair of universal terminal single-stranded DNA overhangs with high AT contents are added to the ends of the BAC vector. Second, two restriction enzyme sites are introduced into the respective sides of the designed overlaps to achieve the hierarchical assembly of large DNA molecules. The optimized Gibson assembly method facilitates fast acquisition of large DNA fragments with high GC contents from Streptomyces.

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X Demographics

The data shown below were collected from the profiles of 10 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 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 112 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 20 18%
Student > Master 16 14%
Student > Ph. D. Student 12 11%
Researcher 10 9%
Student > Doctoral Student 4 4%
Other 4 4%
Unknown 46 41%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 34 30%
Agricultural and Biological Sciences 18 16%
Engineering 4 4%
Chemical Engineering 3 3%
Pharmacology, Toxicology and Pharmaceutical Science 2 2%
Other 5 4%
Unknown 46 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 26 November 2017.
All research outputs
#6,651,883
of 23,506,090 outputs
Outputs from Methods in molecular biology
#2,036
of 13,360 outputs
Outputs of similar age
#133,318
of 444,844 outputs
Outputs of similar age from Methods in molecular biology
#182
of 1,485 outputs
Altmetric has tracked 23,506,090 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 13,360 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 84% 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 444,844 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 1,485 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.