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Toll-Like Receptors

Overview of attention for book
Cover of 'Toll-Like Receptors'

Table of Contents

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    Book Overview
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    Chapter 1 Toll-Like Receptors: Ligands, Cell-Based Models, and Readouts for Receptor Action
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    Chapter 2 Bioinformatic Analysis of Toll-Like Receptor Sequences and Structures.
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    Chapter 3 Toll-Like Receptor Interactions Measured by Microscopic and Flow Cytometric FRET
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    Chapter 4 Using Confocal Microscopy to Investigate Intracellular Trafficking of Toll-Like Receptors
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    Chapter 5 Assessing the Inhibitory Activity of Oligonucleotides on TLR7 Sensing.
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    Chapter 6 Methods for Delivering DNA to Intracellular Receptors
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    Chapter 7 Detection of Interaction Between Toll-Like Receptors and Other Transmembrane Proteins by Co-immunoprecipitation Assay
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    Chapter 8 Flow Cytometry-Based Bead-Binding Assay for Measuring Receptor Ligand Specificity
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    Chapter 9 Measuring Monomer-to-Filament Transition of MAVS as an In Vitro Activity Assay for RIG-I-Like Receptors
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    Chapter 10 Co-transcriptomic Analysis by RNA Sequencing to Simultaneously Measure Regulated Gene Expression in Host and Bacterial Pathogen
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    Chapter 11 Simple Methods to Investigate MicroRNA Induction in Response to Toll-Like Receptors.
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    Chapter 12 Determining the Function of Long Noncoding RNA in Innate Immunity.
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    Chapter 13 Analysis of Post-transcriptional Gene Regulation of Nod-Like Receptors via the 3'UTR.
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    Chapter 14 TLR Function in Murine CD4+ T Lymphocytes and Their Role in Inflammation
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    Chapter 15 Analysis by Flow Cytometry of B-Cell Activation and Antibody Responses Induced by Toll-Like Receptors.
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    Chapter 16 Toll-Like Receptor-Dependent Immune Complex Activation of B Cells and Dendritic Cells.
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    Chapter 17 Analysis of TLR-Induced Metabolic Changes in Dendritic Cells Using the Seahorse XF(e)96 Extracellular Flux Analyzer.
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    Chapter 18 Toll-Like Receptor Signalling and the Control of Intestinal Barrier Function
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    Chapter 19 Understanding the Role of Cellular Molecular Clocks in Controlling the Innate Immune Response.
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    Chapter 20 Methods to Investigate the Role of Toll-Like Receptors in Allergic Contact Dermatitis
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    Chapter 21 Allergens and Activation of the Toll-Like Receptor Response.
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    Chapter 22 Investigating the Role of Toll-Like Receptors in Models of Arthritis
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    Chapter 23 Delineating the Role of Toll-Like Receptors in the Neuro-inflammation Model EAE.
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    Chapter 24 The Use of MiRNA Antagonists in the Alleviation of Inflammatory Disorders.
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    Chapter 25 Investigating the Role of Toll-Like Receptors in Mouse Models of Gastric Cancer
Attention for Chapter 17: Analysis of TLR-Induced Metabolic Changes in Dendritic Cells Using the Seahorse XF(e)96 Extracellular Flux Analyzer.
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Chapter title
Analysis of TLR-Induced Metabolic Changes in Dendritic Cells Using the Seahorse XF(e)96 Extracellular Flux Analyzer.
Chapter number 17
Book title
Toll-Like Receptors
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3335-8_17
Pubmed ID
26803635
Book ISBNs
978-1-4939-3333-4, 978-1-4939-3335-8
Authors

Pelgrom, Leonard R, van der Ham, Alwin J, Everts, Bart, Leonard R. Pelgrom, Alwin J. van der Ham, Bart Everts

Abstract

Engagement of Toll-like receptors (TLRs) on dendritic cells (DCs) triggers the expression of a large set of genes involved in DC activation and maturation, which allow them to act efficiently as antigen-presenting cells. Recently, it has become clear that TLR signalling in DCs also results in dramatic metabolic changes that are integral to their changed biology. Here, we describe a detailed protocol on how DC metabolism can be studied after TLR stimulation using the 96-well format Extracellular Flux (XF(e)96) Analyzer from Seahorse Bioscience, a machine that allows one to simultaneously assess rates of oxidative phosphorylation and glycolysis in real-time, in live cells and in a high-throughput manner.

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

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 28%
Researcher 8 22%
Student > Master 7 19%
Student > Doctoral Student 4 11%
Student > Bachelor 2 6%
Other 1 3%
Unknown 4 11%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 28%
Immunology and Microbiology 8 22%
Agricultural and Biological Sciences 4 11%
Medicine and Dentistry 3 8%
Pharmacology, Toxicology and Pharmaceutical Science 2 6%
Other 5 14%
Unknown 4 11%
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 25 January 2016.
All research outputs
#15,354,849
of 22,840,638 outputs
Outputs from Methods in molecular biology
#5,347
of 13,127 outputs
Outputs of similar age
#230,878
of 393,571 outputs
Outputs of similar age from Methods in molecular biology
#545
of 1,470 outputs
Altmetric has tracked 22,840,638 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,127 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% 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 393,571 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,470 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.

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