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Self and Nonself

Overview of attention for book
Cover of 'Self and Nonself'

Table of Contents

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    Book Overview
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    Chapter 1 The Origin of the Bacterial Immune Response
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    Chapter 2 The Evolution of Self During the Transition to Multicellularity
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    Chapter 3 Glyconectin Glycans as the Self-Assembling Nano-Molecular-Velcrosystem Mediating Self-Nonself Recognition and Adhesion Implicated in Evolution of Multicellularity
  5. Altmetric Badge
    Chapter 4 Neglected Biological Features in Cnidarians Self-Nonself Recognition
  6. Altmetric Badge
    Chapter 5 Intracellular Inflammatory Sensors for Foreign Invaders and Substances of Self-Origin
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    Chapter 6 Nonself Perception in Plant Innate Immunity
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    Chapter 7 How did Flowering Plants Learn to Avoid Blind Date Mistakes?
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    Chapter 8 Signaling Pathways that Regulate Life and Cell Death: Evolution of Apoptosis in the Context of Self-Defense
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    Chapter 9 Sensing necrotic cells.
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    Chapter 10 Sensing Endoplasmic Reticulum Stress
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    Chapter 11 Autophagy and Self-Defense
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    Chapter 12 Viruses and Host Evolution: Virus-Mediated Self Identity
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    Chapter 13 The Evolution of Adaptive Immunity
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    Chapter 14 Epigenetic code and self-identity.
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    Chapter 15 Viral Immunomodulatory Proteins: Usurping Host Genes as a Survival Strategy
  17. Altmetric Badge
    Chapter 16 The Emergence of the Major Histocompatilibility Complex
  18. Altmetric Badge
    Chapter 17 MHC Signaling during Social Communication
Attention for Chapter 9: Sensing necrotic cells.
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Chapter title
Sensing necrotic cells.
Chapter number 9
Book title
Self and Nonself
Published in
Advances in experimental medicine and biology, March 2012
DOI 10.1007/978-1-4614-1680-7_9
Pubmed ID
Book ISBNs
978-1-4614-1679-1, 978-1-4614-1680-7
Authors

Miyake Y, Yamasaki S, Yasunobu Miyake, Sho Yamasaki

Abstract

Multicellular organisms have developed ways to recognize potentially life-threatening events (danger signals). Classically, danger signals have been defined as exogenous, pathogen-associated molecular patterns (PAMPs) such as bacterial cell wall components (e.g., lipopolysaccharide and peptideglycan) or viral DNA/RNA. PAMPs interact with dedicated receptors on immune cells, so-called pattern recognition receptors (PRRs) and activate immune systems. A well-known family of PRRs is the toll-like receptors (TLRs) in which each member recognizes a specific set of PAMPs. However, not only exogenous pathogens but also several endogenous molecules released from necrotic cells (damaged self) also activate immune systems. These endogenous adjuvants are called damage-associated molecular patterns (DAMPs). It has been reported that high-mobility group box 1 protein (HMGB1), uric acid, heat shock proteins (HSPs) and nucleotides act as endogenous adjuvants. DAMPs are recognized by specific receptors (danger receptors) expressed mainly on antigen-presenting cells such as dendritic cells and macrophages and induce cell maturation and the production of inflammatory cytokines by activating the NF-kB pathway. In this chapter, we will review danger signals released from necrotic cells and its recognition receptors.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Unknown 34 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 37%
Researcher 5 14%
Professor > Associate Professor 4 11%
Student > Master 4 11%
Other 2 6%
Other 2 6%
Unknown 5 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 40%
Immunology and Microbiology 7 20%
Medicine and Dentistry 6 17%
Biochemistry, Genetics and Molecular Biology 2 6%
Unknown 6 17%
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 08 March 2013.
All research outputs
#20,195,877
of 22,713,403 outputs
Outputs from Advances in experimental medicine and biology
#3,943
of 4,920 outputs
Outputs of similar age
#141,808
of 156,585 outputs
Outputs of similar age from Advances in experimental medicine and biology
#23
of 27 outputs
Altmetric has tracked 22,713,403 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 4,920 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. 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 156,585 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 27 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.