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Regulation of Inflammatory Signaling in Health and Disease

Overview of attention for book
Cover of 'Regulation of Inflammatory Signaling in Health and Disease'

Table of Contents

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    Book Overview
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    Chapter 1 Activation of the Innate Immune Receptors: Guardians of the Micro Galaxy
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    Chapter 2 Posttranslational Modification Control of Inflammatory Signaling
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    Chapter 3 Emerging Roles for Epigenetic Programming in the Control of Inflammatory Signaling Integration in Heath and Disease
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    Chapter 4 Roles of HDACs in the Responses of Innate Immune Cells and as Targets in Inflammatory Diseases
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    Chapter 5 miR-155 Dysregulation and Therapeutic Intervention in Multiple Sclerosis
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    Chapter 6 Inflammasomes in the Gut Mucosal Homeostasis
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    Chapter 7 Microbial Factors in Inflammatory Diseases and Cancers
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    Chapter 8 cGAS-STING Activation in the Tumor Microenvironment and Its Role in Cancer Immunity
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    Chapter 9 TLR Agonists as Adjuvants for Cancer Vaccines
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    Chapter 10 Telomere Damage Response and Low-Grade Inflammation
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    Chapter 11 The Development and Diversity of ILCs, NK Cells and Their Relevance in Health and Diseases
Attention for Chapter 9: TLR Agonists as Adjuvants for Cancer Vaccines
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Chapter title
TLR Agonists as Adjuvants for Cancer Vaccines
Chapter number 9
Book title
Regulation of Inflammatory Signaling in Health and Disease
Published in
Advances in experimental medicine and biology, January 2017
DOI 10.1007/978-981-10-5987-2_9
Pubmed ID
28921471
Book ISBNs
978-9-81-105986-5, 978-9-81-105987-2
Authors

Ji-Kun Li, Jesse J. Balic, Liang Yu, Brendan Jenkins, Li, Ji-Kun, Balic, Jesse J., Yu, Liang, Jenkins, Brendan

Abstract

Toll-like receptors (TLRs) are one of the best characterised families of pattern recognition receptors (PRRs) and play a critical role in the host defence to infection. Accumulating evidence indicates that TLRs also participate in maintaining tissue homeostasis by controlling inflammation and tissue repair, as well as promoting antitumour effects via activation and modulation of adaptive immune responses. TLR agonists have successfully been exploited to ameliorate the efficacy of various cancer therapies. In this chapter, we will discuss the rationales of using TLR agonists as adjuvants to cancer treatments and summarise the recent findings of preclinical and clinical studies of TLR agonist-based cancer therapies.

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

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 30%
Student > Doctoral Student 6 13%
Researcher 6 13%
Student > Bachelor 4 9%
Other 4 9%
Other 3 6%
Unknown 10 21%
Readers by discipline Count As %
Immunology and Microbiology 12 26%
Biochemistry, Genetics and Molecular Biology 7 15%
Medicine and Dentistry 6 13%
Chemistry 3 6%
Agricultural and Biological Sciences 2 4%
Other 5 11%
Unknown 12 26%
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 13 April 2018.
All research outputs
#20,447,499
of 23,002,898 outputs
Outputs from Advances in experimental medicine and biology
#3,986
of 4,961 outputs
Outputs of similar age
#356,155
of 421,223 outputs
Outputs of similar age from Advances in experimental medicine and biology
#414
of 490 outputs
Altmetric has tracked 23,002,898 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 4,961 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. 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 421,223 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 490 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.

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