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Prokaryotic Systems Biology

Overview of attention for book
Cover of 'Prokaryotic Systems Biology'

Table of Contents

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    Book Overview
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    Chapter 1 Metagenomics as a Tool for Enzyme Discovery: Hydrolytic Enzymes from Marine-Related Metagenomes
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    Chapter 2 Investigating Bacterial Protein Synthesis Using Systems Biology Approaches.
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    Chapter 3 Biology and Assembly of the Bacterial Envelope
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    Chapter 4 Comparative Genomics and Evolutionary Modularity of Prokaryotes
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    Chapter 5 Predicting Functional Interactions Among Genes in Prokaryotes by Genomic Context
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    Chapter 6 Functional Implications of Domain Organization Within Prokaryotic Rhomboid Proteases
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    Chapter 7 Mapping Transcription Regulatory Networks with ChIP-seq and RNA-seq.
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    Chapter 8 Quantitative and Systems-Based Approaches for Deciphering Bacterial Membrane Interactome and Gene Function
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    Chapter 9 Prokaryotic Systems Biology
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    Chapter 10 Genetic Interaction Scoring Procedure for Bacterial Species
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    Chapter 11 Mapping the Protein-Protein Interactome Networks Using Yeast Two-Hybrid Screens.
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    Chapter 12 Biogenesis of Escherichia coli DMSO Reductase: A Network of Participants for Protein Folding and Complex Enzyme Maturation.
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    Chapter 13 Microbial Proteome Profiling and Systems Biology: Applications to Mycobacterium tuberculosis
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    Chapter 14 Structural Aspects of Bacterial Outer Membrane Protein Assembly.
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    Chapter 15 Substrate Interaction Networks of the Escherichia coli Chaperones: Trigger Factor, DnaK and GroEL
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    Chapter 16 Genetic, Biochemical, and Structural Analyses of Bacterial Surface Polysaccharides
Attention for Chapter 11: Mapping the Protein-Protein Interactome Networks Using Yeast Two-Hybrid Screens.
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Chapter title
Mapping the Protein-Protein Interactome Networks Using Yeast Two-Hybrid Screens.
Chapter number 11
Book title
Prokaryotic Systems Biology
Published in
Advances in experimental medicine and biology, January 2015
DOI 10.1007/978-3-319-23603-2_11
Pubmed ID
Book ISBNs
978-3-31-923602-5, 978-3-31-923603-2
Authors

Rajagopala, Seesandra Venkatappa, Seesandra Venkatappa Rajagopala

Abstract

The yeast two-hybrid system (Y2H) is a powerful method to identify binary protein-protein interactions in vivo. Here we describe Y2H screening strategies that use defined libraries of open reading frames (ORFs) and cDNA libraries. The array-based Y2H system is well suited for interactome studies of small genomes with an existing ORFeome clones preferentially in a recombination based cloning system. For large genomes, pooled library screening followed by Y2H pairwise retests may be more efficient in terms of time and resources, but multiple sampling is necessary to ensure comprehensive screening. While the Y2H false positives can be efficiently reduced by using built-in controls, retesting, and evaluation of background activation; implementing the multiple variants of the Y2H vector systems is essential to reduce the false negatives and ensure comprehensive coverage of an interactome.

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

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 8 19%
Student > Ph. D. Student 8 19%
Researcher 5 12%
Lecturer 3 7%
Student > Master 3 7%
Other 3 7%
Unknown 13 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 40%
Agricultural and Biological Sciences 4 9%
Immunology and Microbiology 2 5%
Medicine and Dentistry 2 5%
Veterinary Science and Veterinary Medicine 1 2%
Other 3 7%
Unknown 14 33%
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 02 December 2015.
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#20,297,343
of 22,834,308 outputs
Outputs from Advances in experimental medicine and biology
#3,969
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Outputs of similar age
#295,908
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Outputs of similar age from Advances in experimental medicine and biology
#189
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