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Natural Killer Cells

Overview of attention for book
Cover of 'Natural Killer Cells'

Table of Contents

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    Book Overview
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    Chapter 1 Natural Killer Cells
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    Chapter 2 Natural Killer Cells
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    Chapter 3 Assessment of NK Cell Metabolism.
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    Chapter 4 Genotyping Single Nucleotide Polymorphisms and Copy Number Variability of the FCGRs Expressed on NK Cells.
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    Chapter 5 Measurement of Average Telomere Length in Ex Vivo Expanded Natural Killer Cells by Fluorescence In Situ Hybridization (FISH) and Flow Cytometry.
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    Chapter 6 In Vitro Assessment of Human Natural Killer Cell Migration and Invasion.
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    Chapter 7 Natural Killer Cells
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    Chapter 8 Microwell-Based Live Cell Imaging of NK Cell Dynamics to Assess Heterogeneity in Motility and Cytotoxic Response.
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    Chapter 9 Assessment of Natural Killer Cell Cytotoxicity Using Image Cytometry Method.
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    Chapter 10 Natural Killer Cells
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    Chapter 11 Using NK Cell Lipid Raft Fractionation to Understand the Role of Lipid Rafts in NK Cell Receptor Signaling.
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    Chapter 12 Natural Killer Cells
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    Chapter 13 The Planar Lipid Bilayer System Serves as a Reductionist Approach for Studying NK Cell Immunological Synapses and Their Functions.
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    Chapter 14 Natural Killer Cells
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    Chapter 15 Natural Killer Cells
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    Chapter 16 Large-Scale Culture and Genetic Modification of Human Natural Killer Cells for Cellular Therapy.
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    Chapter 17 Gene Modification of Human Natural Killer Cells Using a Retroviral Vector.
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    Chapter 18 Modification of Expanded NK Cells with Chimeric Antigen Receptor mRNA for Adoptive Cellular Therapy.
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    Chapter 19 mRNA Transfection to Improve NK Cell Homing to Tumors.
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    Chapter 20 Natural Killer Cells
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    Chapter 21 Engineering Receptor Expression on Natural Killer Cells Through Trogocytosis.
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    Chapter 22 Natural Killer Cells
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    Chapter 23 Natural Killer Cells
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    Chapter 24 Natural Killer Cells
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    Chapter 25 Natural Killer Cells
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    Chapter 26 Noninvasive In Vivo Fluorescence Imaging of NK Cells in Preclinical Models of Adoptive Immunotherapy.
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    Chapter 27 Natural Killer Cells
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    Chapter 28 Generation of BiKEs and TriKEs to Improve NK Cell-Mediated Targeting of Tumor Cells.
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    Chapter 29 Natural Killer Cells
Attention for Chapter 20: Natural Killer Cells
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th 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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2 patents

Citations

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31 Mendeley
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Chapter title
Natural Killer Cells
Chapter number 20
Book title
Natural Killer Cells
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3684-7_20
Pubmed ID
Book ISBNs
978-1-4939-3682-3, 978-1-4939-3684-7
Authors

Lowe, Emily, Truscott, Laurel C, De Oliveira, Satiro N, Emily Lowe Ph.D., Laurel C. Truscott M.D., Satiro N. De Oliveira M.D., Emily Lowe, Laurel C. Truscott, Satiro N. De Oliveira

Editors

Srinivas S. Somanchi

Abstract

NK cells represent a very promising source for adoptive cellular approaches for cancer immunotherapy, and extensive research has been conducted, including clinical trials. Gene modification of NK cells can direct their specificity and enhance their function, but the efficiency of gene transfer techniques is very limited. Here we describe two protocols designed to generate mature human NK cells from gene-modified hematopoietic stem cells. These protocols use chimeric antigen receptor as the transgene, but could potentially be modified for the expression any particular transgene in human NK cells.

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

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 26%
Student > Master 6 19%
Student > Bachelor 4 13%
Other 3 10%
Student > Doctoral Student 2 6%
Other 3 10%
Unknown 5 16%
Readers by discipline Count As %
Medicine and Dentistry 9 29%
Immunology and Microbiology 4 13%
Agricultural and Biological Sciences 3 10%
Engineering 3 10%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 5 16%
Unknown 6 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 28 June 2022.
All research outputs
#4,897,498
of 23,923,788 outputs
Outputs from Methods in molecular biology
#1,415
of 13,508 outputs
Outputs of similar age
#82,098
of 399,687 outputs
Outputs of similar age from Methods in molecular biology
#196
of 1,459 outputs
Altmetric has tracked 23,923,788 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,508 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 89% 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 399,687 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 1,459 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.