↓ Skip to main content
What is this page? Embed badge

Gene Essentiality

Overview of attention for book
Cover of 'Gene Essentiality'

Table of Contents

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

Mentioned by

twitter
1 X user

Readers on

mendeley
11 Mendeley
Summary X
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Essential Genes in the Infection Model of Pseudomonas aeruginosa-PCR-Based Signature-Tagged Mutagenesis.
Chapter number 7
Book title
Gene Essentiality
Published in
Methods in molecular biology, January 2015
DOI 10.1007/978-1-4939-2398-4_7
Pubmed ID
25636615
Book ISBNs
978-1-4939-2397-7, 978-1-4939-2398-4
Authors

Irena Kukavica-Ibrulj, Roger C Levesque, Roger C. Levesque, Kukavica-Ibrulj, Irena, Levesque, Roger C.

Abstract

PCR-based signature tagged mutagenesis is an "en masse" screening technique based upon unique oligonucleotide tags (molecular barcodes) for identification of genes that will diminish or enhance maintenance of an organism in a specific ecological niche or environment. PCR-based STM applied to Pseudomonas aeruginosa permitted the identification of genes essential for in vivo maintenance by transposon insertion and negative selection in a mixed population of bacterial mutants. The innovative adaptations and refinement of the technology presented here with P. aeruginosa STM mutants selected in the rat model of chronic lung infection have given critical information about genes essential for causing a chronic infection and a wealth of information about biological processes in vivo. The additional use of competitive index analysis for measurement of the level of virulence in vivo, microarray-based screening of selected prioritized STM mutants coupled to metabolomics analysis can now be attempted systematically on a genomic scale. PCR-based STM and combined whole-genome methods can also be applied to any organism having selectable phenotypes for screening.

View on publisher site
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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 9%
United States 1 9%
Unknown 9 82%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 27%
Researcher 2 18%
Student > Ph. D. Student 2 18%
Professor 1 9%
Other 1 9%
Other 1 9%
Unknown 1 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 55%
Biochemistry, Genetics and Molecular Biology 2 18%
Immunology and Microbiology 1 9%
Medicine and Dentistry 1 9%
Unknown 1 9%
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 01 February 2015.
All research outputs
#20,254,575
of 22,783,848 outputs
Outputs from Methods in molecular biology
#9,885
of 13,094 outputs
Outputs of similar age
#295,685
of 352,967 outputs
Outputs of similar age from Methods in molecular biology
#635
of 996 outputs
Altmetric has tracked 22,783,848 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% 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 1st percentile – i.e., 1% 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 1st percentile – i.e., 1% 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 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.

This page is provided by Altmetric.