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Synthetic Gene Networks

Overview of attention for book
Cover of 'Synthetic Gene Networks'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 In silico implementation of synthetic gene networks.
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    Chapter 2 Standardization in synthetic biology.
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    Chapter 3 Robust Optimal Design of Synthetic Biological Networks
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    Chapter 4 Predicting synthetic gene networks.
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    Chapter 5 Reprogramming a GFP Reporter Gene Subjects It to Complex Lentiviral Gene Regulation
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    Chapter 6 Synthetic Gene Networks
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    Chapter 7 Identifying and Optimizing Intracellular Protein–Protein Interactions Using Bacterial Genetic Selection
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    Chapter 8 Zinc-finger nucleases-based genome engineering to generate isogenic human cell lines.
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    Chapter 9 RNA-Based Networks: Using RNA Aptamers and Ribozymes as Synthetic Genetic Devices
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    Chapter 10 MicroRNA Circuits for Transcriptional Logic.
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    Chapter 11 Light-regulated gene expression in yeast.
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    Chapter 12 Light-controlled gene switches in Mammalian cells.
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    Chapter 13 Expressed protein modifications: making synthetic proteins.
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    Chapter 14 Using Transcription Machinery Engineering to Elicit Complex Cellular Phenotypes
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    Chapter 15 Streamlining of a Pseudomonas putida Genome Using a Combinatorial Deletion Method Based on Minitransposon Insertion and the Flp-FRT Recombination System
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    Chapter 16 Transposon-based and plasmid-based genetic tools for editing genomes of gram-negative bacteria.
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    Chapter 17 Synthetic Networks: Oscillators and Toggle Switches for Escherichia coli
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    Chapter 18 Studying Microbial Communities in Biofilms
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    Chapter 19 Quantitative analysis of the spatiotemporal dynamics of a synthetic predator-prey ecosystem.
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    Chapter 20 Drosophila s2 schneider cells: a useful tool for rebuilding and redesigning approaches in synthetic biology.
  22. Altmetric Badge
    Chapter 21 Synthetic gene networks in plant systems.
  23. Altmetric Badge
    Chapter 22 Design and Construction of Synthetic Gene Networks in Mammalian Cells
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    Chapter 23 Synthetic gene networks as blueprint for smart hydrogels.
Attention for Chapter 19: Quantitative analysis of the spatiotemporal dynamics of a synthetic predator-prey ecosystem.
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Chapter title
Quantitative analysis of the spatiotemporal dynamics of a synthetic predator-prey ecosystem.
Chapter number 19
Book title
Synthetic Gene Networks
Published in
Methods in molecular biology, October 2011
DOI 10.1007/978-1-61779-412-4_19
Pubmed ID
22083751
Book ISBNs
978-1-61779-411-7, 978-1-61779-412-4
Authors

Payne S, Smith RP, You L, Payne, Stephen, Smith, Robert Phillip, You, Lingchong, Stephen Payne, Robert Phillip Smith, Lingchong You

Abstract

A major focus in synthetic biology is the rational design and implementation of gene circuits to control dynamics of individual cells and, increasingly, cellular populations. Population-level control is highlighted in recent studies which attempt to design and implement synthetic ecosystems (or engineered microbial consortia). On the one hand, these engineered systems may serve as a critical technological foundation for practical applications. On the other hand, they may serve as well-defined model systems to examine biological questions of broad relevance. Here, using a synthetic predator-prey ecosystem as an example, we illustrate the basic experimental techniques involved in system implementation and characterization. By extension, these techniques are applicable to the analysis of other microbial-based synthetic or natural ecosystems.

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X Demographics

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

Geographical breakdown

Country Count As %
United States 1 8%
Unknown 12 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 31%
Other 2 15%
Professor > Associate Professor 2 15%
Student > Bachelor 1 8%
Student > Doctoral Student 1 8%
Other 2 15%
Unknown 1 8%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 38%
Agricultural and Biological Sciences 4 31%
Medicine and Dentistry 1 8%
Chemistry 1 8%
Engineering 1 8%
Other 0 0%
Unknown 1 8%
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 18 November 2011.
All research outputs
#18,300,116
of 22,656,971 outputs
Outputs from Methods in molecular biology
#7,803
of 13,015 outputs
Outputs of similar age
#113,294
of 136,374 outputs
Outputs of similar age from Methods in molecular biology
#27
of 56 outputs
Altmetric has tracked 22,656,971 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,015 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.
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 136,374 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.

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