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Toll-like Receptors in Health and Disease

Overview of attention for book
Attention for Chapter 543: Toll-Like Receptors in Adaptive Immunity.
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

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1 X user
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1 Wikipedia page

Citations

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3 Dimensions

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20 Mendeley
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Chapter title
Toll-Like Receptors in Adaptive Immunity.
Chapter number 543
Book title
Toll-like Receptors in Health and Disease
Published in
Handbook of experimental pharmacology, September 2021
DOI 10.1007/164_2021_543
Pubmed ID
Book ISBNs
978-3-03-106511-8, 978-3-03-106512-5
Authors

Kumar, V, Kumar, Vijay

Abstract

The immune (innate and adaptive) system has evolved to protect the host from any danger present in the surrounding outer environment (microbes and associated MAMPs or PAMPs, xenobiotics, and allergens) and dangers originated within the host called danger or damage-associated molecular patterns (DAMPs) and recognizing and clearing the cells dying due to apoptosis. It also helps to lower the tissue damage during trauma and initiates the healing process. The pattern recognition receptors (PRRs) play a crucial role in recognizing different PAMPs or MAMPs and DAMPs to initiate the pro-inflammatory immune response to clear them. Toll-like receptors (TLRs) are first recognized PRRs and their discovery proved milestone in the field of immunology as it filled the gap between the first recognition of the pathogen by the immune system and the initiation of the appropriate immune response required to clear the infection by innate immune cells (macrophages, neutrophils, dendritic cells or DCs, and mast cells). However, in addition to their expression by innate immune cells and controlling their function, TLRs are also expressed by adaptive immune cells. We have identified 10 TLRs (TLR1-TLR10) in humans and 12 TLRs (TLR1-TLR13) in laboratory mice till date as TLR10 in mice is present only as a defective pseudogene. The present chapter starts with the introduction of innate immunity, timing of TLR evolution, and the evolution of adaptive immune system and its receptors (T cell receptors or TCRs and B cell receptors or BCRs). The next section describes the role of TLRs in the innate immune function and signaling involved in the generation of inflammation. The subsequent sections describe the expression and function of different TLRs in murine and human adaptive immune cells (B cells and different types of T cells, including CD4+T cells, CD8+T cells, CD4+CD25+Tregs, and CD8+CD25+Tregs, etc.). The modulation of TLRs expressed on T and B cells has a great potential to develop different vaccine candidates, adjuvants, immunotherapies to target various microbial infections, including current COVID-19 pandemic, cancers, and autoimmune and autoinflammatory diseases.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 25%
Researcher 3 15%
Student > Ph. D. Student 2 10%
Student > Doctoral Student 2 10%
Unspecified 1 5%
Other 2 10%
Unknown 5 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 25%
Agricultural and Biological Sciences 4 20%
Unspecified 1 5%
Chemical Engineering 1 5%
Nursing and Health Professions 1 5%
Other 3 15%
Unknown 5 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 01 February 2024.
All research outputs
#8,201,009
of 25,282,542 outputs
Outputs from Handbook of experimental pharmacology
#251
of 684 outputs
Outputs of similar age
#154,196
of 424,745 outputs
Outputs of similar age from Handbook of experimental pharmacology
#3
of 22 outputs
Altmetric has tracked 25,282,542 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 684 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has gotten more attention than average, scoring higher than 62% 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 424,745 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 63% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.