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Inflammation and Cancer

Overview of attention for book
Cover of 'Inflammation and Cancer'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 In Vivo Models of Inflammatory Bowel Disease and Colitis-Associated Cancer
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    Chapter 2 Combining Cell Type-Restricted Adenoviral Targeting with Immunostaining and Flow Cytometry to Identify Cells-of-Origin of Lung Cancer
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    Chapter 3 Utility of Endoscopic Ultrasound-Guided Fine-Needle Aspiration for Preclinical Evaluation of Therapies in Cancer
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    Chapter 4 Modelling Intestinal Carcinogenesis Using In Vitro Organoid Cultures
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    Chapter 5 Protocols to Evaluate Cigarette Smoke-Induced Lung Inflammation and Pathology in Mice
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    Chapter 6 Tracking Competent Host Defence to Chronic Inflammation: An In Vivo Model of Peritonitis
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    Chapter 7 Citrobacter rodentium Infection Model for the Analysis of Bacterial Pathogenesis and Mucosal Immunology
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    Chapter 8 In Vivo Infection Model of Severe Influenza A Virus
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    Chapter 9 In Vivo Models for Inflammatory Arthritis
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    Chapter 10 Isolation of Mouse Primary Gastric Epithelial Cells to Investigate the Mechanisms of Helicobacter pylori Associated Disease
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    Chapter 11 Dissecting Interleukin-6 Classic- and Trans-Signaling in Inflammation and Cancer
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    Chapter 12 Laser Microdissection of Cellular Compartments for Expression Analyses in Cancer Models
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    Chapter 13 Tissue Processing for Stereological Analyses of Lung Structure in Chronic Obstructive Pulmonary Disease
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    Chapter 14 Quantifying Caspase-1 Activity in Murine Macrophages
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    Chapter 15 Analysis of Histone Modifications in Acute Myeloid Leukaemia Using Chromatin Immunoprecipitation
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    Chapter 16 Analysis of DNA Methylation in Tissues Exposed to Inflammation
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    Chapter 17 A Comprehensive Protocol Resource for Performing Pooled shRNA and CRISPR Screens
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    Chapter 18 Immuno-detection of Immature and Bioactive Forms of the Inflammatory Cytokine IL-18
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    Chapter 19 Optimization Techniques for miRNA Expression in Low Frequency Immune Cell Populations
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    Chapter 20 Assessing the cGAS-cGAMP-STING Activity of Cancer Cells
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    Chapter 21 Expression and Purification of JAK1 and SOCS1 for Structural and Biochemical Studies
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    Chapter 22 Production of Recombinant Killer Immunoglobulin-Like Receptors for Crystallography and Luminex-Based Assays
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    Chapter 23 Isolation and Characterization of Mouse Intrahepatic Lymphocytes by Flow Cytometry
Attention for Chapter 20: Assessing the cGAS-cGAMP-STING Activity of Cancer Cells
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

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Citations

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Chapter title
Assessing the cGAS-cGAMP-STING Activity of Cancer Cells
Chapter number 20
Book title
Inflammation and Cancer
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7568-6_20
Pubmed ID
Book ISBNs
978-1-4939-7567-9, 978-1-4939-7568-6
Authors

Geneviève Pépin, Michael P. Gantier, Pépin, Geneviève, Gantier, Michael P.

Abstract

DNA sensing by the STING pathway is emerging to be a crucial component of the antitumor immune response. Although it plays a key role in the activation of tumor immune cells, exactly how STING is activated by tumor cells is not fully understood. Recent evidence suggests that cGAS can be directly engaged and produces 2'3'-cyclic-GMP-AMP (cGAMP) within certain tumor cells upon stimulation with DNA damaging agents. Because cGAMP can transfer between adjacent cells, the capacity of tumor cells to produce cGAMP may activate tumor immune cells, even in the absence of functional STING signaling within the tumor. Here we describe a simple coculture protocol allowing for the functional characterization of cGAS/STING activity in tumor cells, together with cGAMP transfer to adjacent cells. This approach will help define how different tumors engage the STING pathway, and whether synthetic STING agonists should be used to potentiate the antitumor effects of chemotherapies.

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

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 37%
Researcher 5 19%
Student > Bachelor 4 15%
Student > Master 2 7%
Lecturer 1 4%
Other 1 4%
Unknown 4 15%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 37%
Agricultural and Biological Sciences 6 22%
Immunology and Microbiology 4 15%
Medicine and Dentistry 2 7%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Other 0 0%
Unknown 4 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 15 June 2022.
All research outputs
#2,356,340
of 22,675,759 outputs
Outputs from Methods in molecular biology
#428
of 13,037 outputs
Outputs of similar age
#57,151
of 440,513 outputs
Outputs of similar age from Methods in molecular biology
#26
of 1,498 outputs
Altmetric has tracked 22,675,759 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,037 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done particularly well, scoring higher than 96% 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 440,513 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 86% of its contemporaries.
We're also able to compare this research output to 1,498 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.