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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
  2. Altmetric Badge
    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.
  26. Altmetric Badge
    Chapter 25 Investigating the Role of Toll-Like Receptors in Mouse Models of Gastric Cancer
Attention for Chapter 23: Delineating the Role of Toll-Like Receptors in the Neuro-inflammation Model EAE.
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

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Chapter title
Delineating the Role of Toll-Like Receptors in the Neuro-inflammation Model EAE.
Chapter number 23
Book title
Toll-Like Receptors
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3335-8_23
Pubmed ID
Book ISBNs
978-1-4939-3333-4, 978-1-4939-3335-8
Authors

Fallarino, Francesca, Gargaro, Marco, Mondanell, Giada, Downer, Eric J, Hossain, Md Jakir, Gran, Bruno, Francesca Fallarino, Marco Gargaro, Giada Mondanell, Eric J. Downer, Md Jakir Hossain, Bruno Gran

Abstract

Experimental autoimmune encephalomyelitis (EAE) is the most relevant and commonly used animal model to study autoimmune demyelinating diseases like Multiple Sclerosis (MS). In EAE, the activation of CD4+ T-cells is considered to be the main trigger leading to inflammation and central nervous system (CNS) demyelination. Toll-like receptors (TLRs) are the most important and first class of pattern recognition receptors (PRRs) in innate immune system and play critical roles in initiating inflammatory responses and promoting adaptive immune responses due to their ability to recognize a wide range of pathogen associated molecular patterns (PAMPs) and being expressed in a wide range of cell types both in the innate and adaptive immune systems. Upon TLR stimulation by appropriate ligand, innate immune cells produce pro-inflammatory cytokines and can serve as antigen-presenting cells (APCs) to prime naïve T cells to recognize antigens. Thus, TLRs play an important role in linking the innate to the adaptive immune response. To date, large numbers of studies have been done to investigate the role of adaptive immunity in both EAE and MS but delineating the role of innate immunity in EAE received very little focus and appreciation taking into account that it might contribute to both the initiation and progression of the disease. Moreover, EAE is not only a model to study inflammatory demyelination in the CNS; it is in general a model to study cell-mediated organ-specific autoimmune conditions. Roles of different TLRs were studied in relation to EAE and MS. More recently, some studies demonstrated the immune adjuvant properties of certain TLR ligands including TLR2, TLR4, and TLR9 in EAE. This chapter outlines different methods employed in our labs to investigate the role of TLRs in EAE model.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 6%
Unknown 17 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 33%
Student > Ph. D. Student 2 11%
Other 1 6%
Professor 1 6%
Student > Master 1 6%
Other 1 6%
Unknown 6 33%
Readers by discipline Count As %
Neuroscience 3 17%
Agricultural and Biological Sciences 2 11%
Immunology and Microbiology 2 11%
Medicine and Dentistry 2 11%
Philosophy 1 6%
Other 1 6%
Unknown 7 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 19 February 2016.
All research outputs
#8,751,507
of 25,904,557 outputs
Outputs from Methods in molecular biology
#2,755
of 14,402 outputs
Outputs of similar age
#128,695
of 401,959 outputs
Outputs of similar age from Methods in molecular biology
#280
of 1,467 outputs
Altmetric has tracked 25,904,557 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,402 research outputs from this source. They receive a mean Attention Score of 3.5. This one has gotten more attention than average, scoring higher than 74% of its peers.
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 401,959 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 1,467 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.