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The Tumor Microenvironment

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Cover of 'The Tumor Microenvironment'

Table of Contents

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    Book Overview
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    Chapter 1 Methods of Immunohistochemistry and Immunofluorescence: Converting Invisible to Visible.
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    Chapter 2 Laser Capture Microdissection as a Tool to Study Tumor Stroma.
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    Chapter 3 Quantitative Analysis of Human Cancer Cell Extravasation Using Intravital Imaging.
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    Chapter 4 Studies on the Tumor Vasculature and Coagulant Microenvironment.
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    Chapter 5 A Microfluidic Method to Mimic Luminal Structures in the Tumor Microenvironment.
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    Chapter 6 Measuring Vascular Permeability In Vivo.
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    Chapter 7 The Tumor Microenvironment
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    Chapter 8 Analyzing the Tumor Microenvironment by Flow Cytometry.
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    Chapter 9 The Tumor Microenvironment
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    Chapter 10 Purification of Immune Cell Populations from Freshly Isolated Murine Tumors and Organs by Consecutive Magnetic Cell Sorting and Multi-parameter Flow Cytometry-Based Sorting.
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    Chapter 11 Viral Engineering of Chimeric Antigen Receptor Expression on Murine and Human T Lymphocytes.
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    Chapter 12 The Tumor Microenvironment
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    Chapter 13 Isolation and Characterization of Low- vs. High-Density Neutrophils in Cancer.
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    Chapter 14 Analysis of Extracellular Vesicles in the Tumor Microenvironment.
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    Chapter 15 Visualizing the Tumor Microenvironment of Liver Metastasis by Spinning Disk Confocal Microscopy.
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    Chapter 16 Intravital Microscopy for Imaging the Tumor Microenvironment in Live Mice.
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    Chapter 17 The Tumor Microenvironment
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    Chapter 18 The Tumor Microenvironment
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    Chapter 19 CRISPR/Cas9 Genome Editing as a Strategy to Study the Tumor Microenvironment in Transgenic Mice.
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    Chapter 20 The Tumor Microenvironment
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    Chapter 21 The Tumor Microenvironment
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    Chapter 22 RNA-Seq as a Tool to Study the Tumor Microenvironment.
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    Chapter 23 Sample Preparation for Mass Spectrometry Analysis of Protein-Protein Interactions in Cancer Cell Lines and Tissues.
Attention for Chapter 23: Sample Preparation for Mass Spectrometry Analysis of Protein-Protein Interactions in Cancer Cell Lines and Tissues.
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Chapter title
Sample Preparation for Mass Spectrometry Analysis of Protein-Protein Interactions in Cancer Cell Lines and Tissues.
Chapter number 23
Book title
The Tumor Microenvironment
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3801-8_23
Pubmed ID
Book ISBNs
978-1-4939-3799-8, 978-1-4939-3801-8
Authors

Alice Beigbeder, Lauriane Vélot, D. Andrew James, Nicolas Bisson

Editors

Josie Ursini-Siegel, Nicole Beauchemin

Abstract

A precisely controlled network of protein-protein interactions constitutes the basis for functional signaling pathways. This equilibrium is more often than not disrupted in cancer cells, by the aberrant expression or activation of oncogenic proteins. Therefore, the analysis of protein interaction networks in cancer cells has become crucial to expand our comprehension of the molecular underpinnings of tumor formation and progression. This protocol describes a sample preparation method for the analysis of signaling complexes by mass spectrometry (MS), following the affinity purification of a protein of interest from a cancer cell line or a solid tumor. In particular, we provide a spin tip-based protease digestion procedure that offers a more rapid and controlled alternative to other gel-based and gel-free methods. This sample preparation protocol represents a useful strategy to identify protein interactions and to gain insight into the molecular mechanisms that contribute to a given cancer phenotype.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 2 25%
Researcher 2 25%
Professor 1 13%
Student > Bachelor 1 13%
Student > Ph. D. Student 1 13%
Other 0 0%
Unknown 1 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 63%
Immunology and Microbiology 1 13%
Medicine and Dentistry 1 13%
Unknown 1 13%