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Gene Essentiality

Overview of attention for book
Cover of 'Gene Essentiality'

Table of Contents

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    Book Overview
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    Chapter 1 Microarray Transposon Tracking for the Mapping of Conditionally Essential Genes in Campylobacter jejuni.
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    Chapter 2 Identifying Essential Streptococcus sanguinis Genes Using Genome-Wide Deletion Mutation.
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    Chapter 3 Defining Essential Genes and Identifying Virulence Factors of Porphyromonas gingivalis by Massively Parallel Sequencing of Transposon Libraries (Tn-seq).
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    Chapter 4 Identification of Essential Genes and Synthetic Lethal Gene Combinations in Escherichia coli K-12.
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    Chapter 5 Identification of genes essential for leptospirosis.
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    Chapter 6 Identifying Essential Genes in Mycobacterium tuberculosis by Global Phenotypic Profiling.
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    Chapter 7 Essential Genes in the Infection Model of Pseudomonas aeruginosa-PCR-Based Signature-Tagged Mutagenesis.
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    Chapter 8 Genome-Wide Synthetic Genetic Screening by Transposon Mutagenesis in Candida albicans.
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    Chapter 9 An Integrated Machine-Learning Model to Predict Prokaryotic Essential Genes
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    Chapter 10 A Statistical Framework for Improving Genomic Annotations of Transposon Mutagenesis (TM) Assigned Essential Genes.
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    Chapter 11 A Proposed Essential Gene Discovery Pipeline: A Campylobacter jejuni Case Study
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    Chapter 12 Computational prediction of essential metabolic genes using constraint-based approaches.
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    Chapter 13 Three computational tools for predicting bacterial essential genes.
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    Chapter 14 Gene Essentiality Analysis Based on DEG 10, an Updated Database of Essential Genes.
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    Chapter 15 Discovering essential domains in essential genes.
Attention for Chapter 3: Defining Essential Genes and Identifying Virulence Factors of Porphyromonas gingivalis by Massively Parallel Sequencing of Transposon Libraries (Tn-seq).
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Citations

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Chapter title
Defining Essential Genes and Identifying Virulence Factors of Porphyromonas gingivalis by Massively Parallel Sequencing of Transposon Libraries (Tn-seq).
Chapter number 3
Book title
Gene Essentiality
Published in
Methods in molecular biology, January 2015
DOI 10.1007/978-1-4939-2398-4_3
Pubmed ID
25636611
Book ISBNs
978-1-4939-2397-7, 978-1-4939-2398-4
Authors

Brian A Klein, Margaret J Duncan, Linden T Hu, Brian A. Klein, Margaret J. Duncan, Linden T. Hu, Klein, Brian A., Duncan, Margaret J., Hu, Linden T.

Abstract

Porphyromonas gingivalis is a keystone pathogen in the development and progression of periodontal disease. Obstacles to the development of saturated transposon libraries have previously limited transposon mutant-based screens as well as essential gene studies. We have developed a system for efficient transposon mutagenesis of P. gingivalis using a modified mariner transposon. Tn-seq is a technique that allows for quantitative assessment of individual mutants within a transposon mutant library by sequencing the transposon-genome junctions and then compiling mutant presence by mapping to a base genome. Using Tn-seq, it is possible to quickly define all the insertional mutants in a library and thus identify nonessential genes under the conditions in which the library was produced. Identification of fitness of individual mutants under specific conditions can be performed by exposing the library to selective pressures.

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

Geographical breakdown

Country Count As %
United States 1 2%
Canada 1 2%
Unknown 60 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 18%
Researcher 10 16%
Student > Master 8 13%
Student > Bachelor 8 13%
Student > Doctoral Student 5 8%
Other 13 21%
Unknown 7 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 29%
Biochemistry, Genetics and Molecular Biology 16 26%
Medicine and Dentistry 6 10%
Immunology and Microbiology 4 6%
Pharmacology, Toxicology and Pharmaceutical Science 3 5%
Other 6 10%
Unknown 9 15%
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 08 October 2015.
All research outputs
#18,393,912
of 22,783,848 outputs
Outputs from Methods in molecular biology
#7,890
of 13,094 outputs
Outputs of similar age
#255,715
of 352,967 outputs
Outputs of similar age from Methods in molecular biology
#479
of 996 outputs
Altmetric has tracked 22,783,848 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 13,094 research outputs from this source. They receive a mean Attention Score of 3.4. 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 352,967 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 996 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.

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