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Reprogramming Microbial Metabolic Pathways

Overview of attention for book
Cover of 'Reprogramming Microbial Metabolic Pathways'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Towards Synthetic Gene Circuits with Enhancers: Biology's Multi-input Integrators.
  3. Altmetric Badge
    Chapter 2 Elementary Mode Analysis: A Useful Metabolic Pathway Analysis Tool for Reprograming Microbial Metabolic Pathways
  4. Altmetric Badge
    Chapter 3 Evolutionary Engineering for Industrial Microbiology
  5. Altmetric Badge
    Chapter 4 Monitoring microbial diversity of bioreactors using metagenomic approaches.
  6. Altmetric Badge
    Chapter 5 Synthetic biology triggers new era of antibiotics development.
  7. Altmetric Badge
    Chapter 6 Cascades and Networks of Regulatory Genes That Control Antibiotic Biosynthesis
  8. Altmetric Badge
    Chapter 7 Systems analysis of microbial adaptations to simultaneous stresses.
  9. Altmetric Badge
    Chapter 8 Metabolic Reprogramming Under Microaerobic and Anaerobic Conditions in Bacteria
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    Chapter 9 Tunable promoters in synthetic and systems biology.
  11. Altmetric Badge
    Chapter 10 Analysis of Corynebacterium glutamicum Promoters and Their Applications
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    Chapter 11 Production of Fumaric Acid by Fermentation
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    Chapter 12 Metabolic Engineering of Microorganisms for Vitamin C Production
  14. Altmetric Badge
    Chapter 13 Molecular Mechanisms and Metabolic Engineering of Glutamate Overproduction in Corynebacterium glutamicum
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    Chapter 14 Microbial Metabolic Engineering for L-Threonine Production
  16. Altmetric Badge
    Chapter 15 The Production of Coenzyme Q10 in Microorganisms
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    Chapter 16 Genetic Modification and Bioprocess Optimization for S-Adenosyl-L-methionine Biosynthesis
  18. Altmetric Badge
    Chapter 17 Manipulation of Ralstonia eutropha Carbon Storage Pathways to Produce Useful Bio-Based Products
  19. Altmetric Badge
    Chapter 18 Metabolic Engineering of Inducer Formation for Cellulase and Hemicellulase Gene Expression in Trichoderma reesei
  20. Altmetric Badge
    Chapter 19 Microbiologically produced carboxylic acids used as building blocks in organic synthesis.
Attention for Chapter 1: Towards Synthetic Gene Circuits with Enhancers: Biology's Multi-input Integrators.
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Chapter title
Towards Synthetic Gene Circuits with Enhancers: Biology's Multi-input Integrators.
Chapter number 1
Book title
Reprogramming Microbial Metabolic Pathways
Published in
Sub cellular biochemistry, January 2012
DOI 10.1007/978-94-007-5055-5_1
Pubmed ID
Book ISBNs
978-9-40-075054-8, 978-9-40-075055-5
Authors

Amit, Roee, Roee Amit

Abstract

One of the greatest challenges facing synthetic biology is to develop a technology that allows gene regulatory circuits in microbes to integrate multiple inputs or stimuli using a small DNA sequence "foot-print", and which will generate precise and reproducible outcomes. Achieving this goal is hindered by the routine utilization of the commonplace σ(70) promoters in gene-regulatory circuits. These promoters typically are not capable of integrating binding of more than two or three transcription factors in natural examples, which has limited the field to developing integrated circuits made of two-input biological "logic" gates. In natural examples the regulatory elements, which integrate multiple inputs are called enhancers. These regulatory elements are ubiquitous in all organisms in the tree of life, and interestingly metazoan and bacterial enhancers are significantly more similar in terms of both Transcription Factor binding site arrangement and biological function than previously thought. These similarities imply that there may be underlying enhancer design principles or grammar rules by which one can engineer novel gene regulatory circuits. However, at present our current understanding of enhancer structure-function relationship in all organisms is limited, thus preventing us from using these objects routinely in synthetic biology application. In order to alleviate this problem, in this book chapter, I will review our current view of bacterial enhancers, allowing us to first highlight the potential of enhancers to be a game-changing tool in synthetic biology application, and subsequently to draw a road-map for developing the necessary quantitative understanding to reach this goal.

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X Demographics

The data shown below were collected from the profiles of 3 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Iran, Islamic Republic of 1 7%
Unknown 13 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 29%
Professor > Associate Professor 3 21%
Other 2 14%
Professor 1 7%
Lecturer > Senior Lecturer 1 7%
Other 2 14%
Unknown 1 7%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 36%
Agricultural and Biological Sciences 3 21%
Engineering 2 14%
Immunology and Microbiology 1 7%
Chemical Engineering 1 7%
Other 0 0%
Unknown 2 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 22 October 2012.
All research outputs
#13,672,464
of 22,684,168 outputs
Outputs from Sub cellular biochemistry
#161
of 350 outputs
Outputs of similar age
#150,096
of 244,101 outputs
Outputs of similar age from Sub cellular biochemistry
#15
of 27 outputs
Altmetric has tracked 22,684,168 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 350 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 54% of its peers.
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We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.