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NLR Proteins

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Cover of 'NLR Proteins'

Table of Contents

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    Book Overview
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    Chapter 1 NLR Proteins
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    Chapter 2 Atypical Inflammasomes.
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    Chapter 3 NLR Proteins
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    Chapter 4 Investigating IL-1β Secretion Using Real-Time Single-Cell Imaging.
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    Chapter 5 NLR Proteins
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    Chapter 6 Measuring IL-1β Processing by Bioluminescence Sensors II: The iGLuc System.
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    Chapter 7 Assessing Extracellular ATP as Danger Signal In Vivo: The pmeLuc System.
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    Chapter 8 Measuring NLR Oligomerization I: Size Exclusion Chromatography, Co-immunoprecipitation, and Cross-Linking.
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    Chapter 9 NLR Proteins
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    Chapter 10 NLR Proteins
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    Chapter 11 Measuring NLR Oligomerization IV: Using Förster Resonance Energy Transfer (FRET)-Fluorescence Lifetime Imaging Microscopy (FLIM) to Determine the Close Proximity of Inflammasome Components.
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    Chapter 12 Measuring NLR Oligomerization V: In Situ Proximity Ligation Assay.
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    Chapter 13 Assessing Caspase-1 Activation.
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    Chapter 14 Cell-Free Assay for Inflammasome Activation.
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    Chapter 15 Functional Reconstruction of NLRs in HEK293 Cells.
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    Chapter 16 Method to Measure Ubiquitination of NLRs.
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    Chapter 17 Cytofluorometric Quantification of Cell Death Elicited by NLR Proteins.
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    Chapter 18 NLR in Human Diseases: Role and Laboratory Findings.
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    Chapter 19 Erratum to: Measuring NLR Oligomerization II: Detection of ASC Speck Formation by Confocal Microscopy and Immunofluorescence
Attention for Chapter 1: NLR Proteins
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Chapter title
NLR Proteins
Chapter number 1
Book title
NLR Proteins
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3566-6_1
Pubmed ID
Book ISBNs
978-1-4939-3564-2, 978-1-4939-3566-6
Authors

Muñoz-Wolf, Natalia, Lavelle, Ed C, Natalia Muñoz-Wolf, Ed C. Lavelle

Editors

Francesco Di Virgilio, Pablo Pelegrín

Abstract

For many years innate immunity was regarded as a relatively nonspecific set of mechanisms serving as a first line of defence to contain infections while the more refined adaptive immune response was developing. The discovery of pattern recognition receptors (PRRs) revolutionised the prevailing view of innate immunity, revealing its intimate connection with adaptive immunity and generation of effector and memory T- and B-cell responses. Among the PRRs, families of Toll-like receptors (TLRs), C-type lectin receptors (CLR), retinoic acid-inducible gene-I (RIG-I)-like receptors (RLRs) and nucleotide-binding domain, leucine-rich repeat-containing protein receptors (NLRs), along with a number of cytosolic DNA sensors and the family of absent in melanoma (AIM)-like receptors (ALRs), have been characterised. NLR sensors have been a particular focus of attention, and some NLRs have emerged as key orchestrators of the inflammatory response through the formation of large multiprotein complexes termed inflammasomes. However, several other functions not related to inflammasomes have also been described for NLRs. This chapter introduces the different families of PRRs, their signalling pathways, cross-regulation and their roles in immunosurveillance. The structure and function of NLRs is also discussed with particular focus on the non-inflammasome NLRs.

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

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 21%
Student > Master 5 12%
Student > Doctoral Student 4 10%
Student > Bachelor 4 10%
Researcher 3 7%
Other 7 17%
Unknown 10 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 19%
Immunology and Microbiology 7 17%
Agricultural and Biological Sciences 5 12%
Medicine and Dentistry 4 10%
Neuroscience 2 5%
Other 2 5%
Unknown 14 33%
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 26 May 2016.
All research outputs
#20,330,976
of 22,875,477 outputs
Outputs from Methods in molecular biology
#9,915
of 13,130 outputs
Outputs of similar age
#330,728
of 393,689 outputs
Outputs of similar age from Methods in molecular biology
#1,054
of 1,471 outputs
Altmetric has tracked 22,875,477 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 13,130 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 393,689 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 1,471 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.