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Natural Killer Cells

Overview of attention for book
Attention for Chapter 474: Development, Homeostasis, and Heterogeneity of NK Cells and ILC1.
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  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

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Chapter title
Development, Homeostasis, and Heterogeneity of NK Cells and ILC1.
Chapter number 474
Book title
Natural Killer Cells
Published in
Current topics in microbiology and immunology, August 2015
DOI 10.1007/82_2015_474
Pubmed ID
Book ISBNs
978-3-31-923915-6, 978-3-31-923916-3
Authors

Seillet, Cyril, Belz, Gabrielle T, Huntington, Nicholas D, Belz, Gabrielle T., Huntington, Nicholas D., Cyril Seillet, Gabrielle T. Belz, Nicholas D. Huntington

Abstract

Natural killer (NK) cells are a population of cytotoxic innate lymphocytes that evolved prior to their adaptive counterparts and constitute one of the first lines of defense against infected or mutated cells. NK cells are rapidly activated, expressing an array of germ-line encoded receptors that allow them to scan for protein irregularities on cells and kill those deemed "altered-self." NK cells rapidly produce a broad range of cytokines and chemokines following activation by virus, bacterial, or parasitic infection and are thus key in orchestrating inflammation. NK cells have previously been viewed to represent a relatively homogeneous group of IFN-γ-producing cells that express the surface markers NK1.1 and natural killer cell p46-related protein (NKp46 or NCR1 encoded by Ncr1) and depend on the transcription factor T-bet for their development. Recently, a second subset of T-bet-dependent innate cells, the group 1 innate lymphoid cells (ILC1), has been discovered which share many attributes of conventional NK (cNK) cells. Despite the similarities between ILC1 and cNK cells , they differ in several important aspects including their localization, transcriptional regulation, and phenotype suggesting each subset has distinct origins and functions in immune responses. Previously, the ability to detect and spontaneously kill cells that exhibit "altered-self" which is central to tumor and viral immunity has been thought to be an attribute restricted solely to cNK cells. The identification of ILC1 challenges this notion and suggests that key contributions from ILC1 may have gone unrecognized. Thus, understanding the different rules that govern the behavior of ILC1 and cNK cells in immune responses may potentially open unexpected doorways to uncover novel strategies to manipulate these cells in treating disease. Here, we review recent advances in our understanding of peripheral cNK cell and ILC1 heterogeneity in terms of their development, phenotype, homeostasis, and effector functions.

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X Demographics

The data shown below were collected from the profiles of 5 X users 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 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Greece 1 2%
Unknown 55 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 23%
Student > Master 12 21%
Student > Bachelor 6 11%
Researcher 6 11%
Professor 1 2%
Other 3 5%
Unknown 15 27%
Readers by discipline Count As %
Immunology and Microbiology 15 27%
Biochemistry, Genetics and Molecular Biology 11 20%
Agricultural and Biological Sciences 9 16%
Medicine and Dentistry 3 5%
Business, Management and Accounting 1 2%
Other 2 4%
Unknown 15 27%
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 02 July 2016.
All research outputs
#13,511,215
of 23,312,088 outputs
Outputs from Current topics in microbiology and immunology
#358
of 685 outputs
Outputs of similar age
#124,369
of 268,603 outputs
Outputs of similar age from Current topics in microbiology and immunology
#8
of 25 outputs
Altmetric has tracked 23,312,088 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 685 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one is in the 46th percentile – i.e., 46% 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 268,603 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 25 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.