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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
  24. Altmetric Badge
    Chapter 23 Isolation and Characterization of Mouse Intrahepatic Lymphocytes by Flow Cytometry
Attention for Chapter 12: Laser Microdissection of Cellular Compartments for Expression Analyses in Cancer Models
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Chapter title
Laser Microdissection of Cellular Compartments for Expression Analyses in Cancer Models
Chapter number 12
Book title
Inflammation and Cancer
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7568-6_12
Pubmed ID
Book ISBNs
978-1-4939-7567-9, 978-1-4939-7568-6
Authors

Tae-Su Han, Masanobu Oshima

Abstract

Cancer tissues are composed of various cell types including cancer cells, cancer-associated fibroblasts (CAFs), tumor-associated macrophages (TAMs) and endothelial cells. These surrounding stromal cells form the tumor microenvironment, partly through the inflammatory response, which plays an important role in the development and malignant progression of cancer. It is therefore important to examine the expression profiles and protein modifications of each cellular component independently to decipher the interaction between the tumor cells and the microenvironment. We herein describe a protocol for laser microdissection, which allows for the individual cellular compartments to be collected separately. This will allow us to perform real-time RT-PCRs and microarray analyses of specific cell types in tumor tissues.

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

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 33%
Lecturer 1 17%
Student > Doctoral Student 1 17%
Unknown 2 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 33%
Immunology and Microbiology 1 17%
Unknown 3 50%
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 January 2018.
All research outputs
#15,488,947
of 23,016,919 outputs
Outputs from Methods in molecular biology
#5,388
of 13,165 outputs
Outputs of similar age
#269,777
of 442,344 outputs
Outputs of similar age from Methods in molecular biology
#596
of 1,498 outputs
Altmetric has tracked 23,016,919 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,165 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% 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 442,344 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
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 is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.