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Engineering and Analyzing Multicellular Systems

Overview of attention for book
Cover of 'Engineering and Analyzing Multicellular Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Recent progress in engineering human-associated microbiomes.
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    Chapter 2 Constructing synthetic microbial communities to explore the ecology and evolution of symbiosis.
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    Chapter 3 Combining engineering and evolution to create novel metabolic mutualisms between species.
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    Chapter 4 Design, construction, and characterization methodologies for synthetic microbial consortia.
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    Chapter 5 An Observation Method for Autonomous Signaling-Mediated Synthetic Diversification in Escherichia coli.
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    Chapter 6 Integration-Free Reprogramming of Human Somatic Cells to Induced Pluripotent Stem Cells (iPSCs) Without Viral Vectors, Recombinant DNA, and Genetic Modification.
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    Chapter 7 Transformation of Bacillus subtilis.
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    Chapter 8 Culturing anaerobes to use as a model system for studying the evolution of syntrophic mutualism.
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    Chapter 9 Therapeutic microbes for infectious disease.
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    Chapter 10 Quantitative measurement and analysis in a synthetic pattern formation multicellular system.
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    Chapter 11 Transcriptome Analysis of a Microbial Coculture in which the Cell Populations Are Separated by a Membrane.
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    Chapter 12 Identification of Mutations in Laboratory-Evolved Microbes from Next-Generation Sequencing Data Using breseq.
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    Chapter 13 3D-Fluorescence In Situ Hybridization of Intact, Anaerobic Biofilm.
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    Chapter 14 The characterization of living bacterial colonies using nanospray desorption electrospray ionization mass spectrometry.
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    Chapter 15 Modeling community population dynamics with the open-source language R.
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    Chapter 16 Simulating microbial community patterning using biocellion.
Attention for Chapter 9: Therapeutic microbes for infectious disease.
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  • Good Attention Score compared to outputs of the same age and source (78th percentile)

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Chapter title
Therapeutic microbes for infectious disease.
Chapter number 9
Book title
Engineering and Analyzing Multicellular Systems
Published in
Methods in molecular biology, April 2014
DOI 10.1007/978-1-4939-0554-6_9
Pubmed ID
24838883
Book ISBNs
978-1-4939-0553-9, 978-1-4939-0554-6
Authors

Wong CK, Tan MH, Rasouliha BH, Hwang IY, Ling H, Poh CL, Chang MW, Choon Kit Wong, Mui Hua Tan, Bahareh Haji Rasouliha, In Young Hwang, Hua Ling, Chueh Loo Poh, Matthew Wook Chang, Wong, Choon Kit, Tan, Mui Hua, Rasouliha, Bahareh Haji, Hwang, In Young, Ling, Hua, Poh, Chueh Loo, Chang, Matthew Wook

Editors

Lianhong Sun, Wenying Shou

Abstract

The rapid emergence of multidrug-resistant pathogens has invoked concerns of our current limitations in controlling the spread of infectious disease. To resolve this, we have applied synthetic biology principles to engineer human commensal microbe that can specifically sense and kill an antibiotic-resistant strain of P. aeruginosa. In this chapter, we describe the methods used to assemble, characterize, and evaluate the effectiveness of our engineered microbe in multicellular systems.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 15%
Student > Bachelor 2 10%
Student > Postgraduate 2 10%
Professor 2 10%
Researcher 2 10%
Other 2 10%
Unknown 7 35%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 20%
Chemical Engineering 2 10%
Biochemistry, Genetics and Molecular Biology 2 10%
Environmental Science 2 10%
Engineering 2 10%
Other 1 5%
Unknown 7 35%
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 06 January 2015.
All research outputs
#14,207,938
of 22,776,824 outputs
Outputs from Methods in molecular biology
#4,175
of 13,092 outputs
Outputs of similar age
#119,667
of 226,178 outputs
Outputs of similar age from Methods in molecular biology
#29
of 149 outputs
Altmetric has tracked 22,776,824 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,092 research outputs from this source. They receive a mean Attention Score of 3.3. This one has gotten more attention than average, scoring higher than 64% 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 226,178 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 149 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.

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