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Mycobacteria Protocols

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Cover of 'Mycobacteria Protocols'

Table of Contents

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    Book Overview
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    Chapter 1 Whole-genome sequencing for comparative genomics and de novo genome assembly.
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    Chapter 2 Whole-Transcriptome Sequencing for High-Resolution Transcriptomic Analysis in Mycobacterium tuberculosis.
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    Chapter 3 RNA sequencing for transcript 5'-end mapping in mycobacteria.
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    Chapter 4 Fractionation and analysis of mycobacterial proteins.
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    Chapter 5 Lipid and Lipoarabinomannan Isolation and Characterization
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    Chapter 6 Mycobacteria Protocols
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    Chapter 7 Electroporation of Mycobacteria
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    Chapter 8 Targeted Gene Knockout and Essentiality Testing by Homologous Recombination
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    Chapter 9 Construction of Conditional Knockdown Mutants in Mycobacteria
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    Chapter 10 Mycobacterial Recombineering
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    Chapter 11 In Vitro Models That Utilize Hypoxia to Induce Non-replicating Persistence in Mycobacteria
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    Chapter 12 Genetic dissection of mycobacterial biofilms.
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    Chapter 13 Measuring Efflux and Permeability in Mycobacteria
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    Chapter 14 Single-Cell Analysis of Mycobacteria Using Microfluidics and Time-Lapse Microscopy
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    Chapter 15 Antimicrobial Susceptibility Testing for Mycobacterium sp .
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    Chapter 16 Determination of Compound Kill Kinetics Against Mycobacterium tuberculosis
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    Chapter 17 Microplate Alamar Blue Assay (MABA) and Low Oxygen Recovery Assay (LORA) for Mycobacterium tuberculosis
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    Chapter 18 A Multi-stress Model for High Throughput Screening Against Non-replicating Mycobacterium tuberculosis
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    Chapter 19 Isolation and Characterization of Compound-Resistant Isolates of Mycobacterium tuberculosis
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    Chapter 20 Macrophage Infection Models for Mycobacterium tuberculosis
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    Chapter 21 Infection of Human Neutrophils to Study Virulence Properties of Mycobacterium tuberculosis
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    Chapter 22 Isolation of Bead Phagosomes to Study Virulence Function of M. tuberculosis Cell Wall Lipids.
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    Chapter 23 Live Imaging of Mycobacterium marinum Infection in Dictyostelium discoideum
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    Chapter 24 Testing Chemical and Genetic Modulators in Mycobacterium tuberculosis Infected Cells Using Phenotypic Assays
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    Chapter 25 Erratum to: Genetic Dissection of Mycobacterial Biofilms
Attention for Chapter 12: Genetic dissection of mycobacterial biofilms.
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Chapter title
Genetic dissection of mycobacterial biofilms.
Chapter number 12
Book title
Mycobacteria Protocols
Published in
Methods in molecular biology, January 2015
DOI 10.1007/978-1-4939-2450-9_12
Pubmed ID
Book ISBNs
978-1-4939-2449-3, 978-1-4939-2450-9
Authors

Anil K Ojha, William R Jacobs, Graham F Hatfull, Anil K. Ojha, William R. Jacobs, Graham F. Hatfull, Ojha, Anil K., Jacobs, William R., Hatfull, Graham F.

Abstract

Our understanding of the biological principles of mycobacterial tolerance to antibiotics is crucial for developing shorter anti-tuberculosis regimens. Various in vitro approaches have been developed to identify the conditions that promote mycobacterial persistence against antibiotics. In our laboratories, we have developed a detergent-free in vitro growth model, in which mycobacteria spontaneously grow at the air-medium interface as self-organized multicellular structures, called biofilms. Mycobacterial biofilms harbor a subpopulation of drug tolerant persisters at a greater frequency than their planktonic counterpart. Importantly, development of these structures is genetically programmed, and defective biofilms of isogenic mutants harbor fewer persisters. Thus, genetic analysis of mycobacterial biofilms in vitro could potentially be a powerful tool to unravel the biology of drug tolerance in mycobacteria. In this chapter we describe a method for screening biofilm-defective mutants of mycobacteria in a 96-well format, which readily yields a clonally pure mutant for further studies.

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

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 15%
Researcher 5 15%
Student > Master 5 15%
Student > Bachelor 4 12%
Student > Doctoral Student 2 6%
Other 5 15%
Unknown 7 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 21%
Immunology and Microbiology 5 15%
Agricultural and Biological Sciences 4 12%
Medicine and Dentistry 4 12%
Computer Science 2 6%
Other 3 9%
Unknown 8 24%
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 15 December 2015.
All research outputs
#18,403,994
of 22,796,179 outputs
Outputs from Methods in molecular biology
#7,904
of 13,111 outputs
Outputs of similar age
#255,796
of 353,053 outputs
Outputs of similar age from Methods in molecular biology
#479
of 996 outputs
Altmetric has tracked 22,796,179 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 13,111 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.
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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.