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Proteases and Cancer

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

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Dissecting Degradomes: Analysis of Protease-Coding Genes
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    Chapter 2 Identification of Protease Cleavage Sites and Substrates in Cancer by Carboxy-TAILS (C-TAILS)
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    Chapter 3 Identification of Proteolytic Cleavage Sites of EphA2 by Membrane Type 1 Matrix Metalloproteinase on the Surface of Cancer Cells
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    Chapter 4 Biotin-Chasing Assay to Evaluate uPAR Stability and Cleavage on the Surface of Cells
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    Chapter 5 Determination of Aconitase Activity: A Substrate of the Mitochondrial Lon Protease
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    Chapter 6 A Simple Cell-Based Assay for the Detection of Surface Protein Shedding by Rhomboid Proteases
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    Chapter 7 Functional Production of Catalytic Domains of Human MMPs in Escherichia coli Periplasm
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    Chapter 8 Autophagy and Proteases: Basic Study of the Autophagic Flux by Western Blot
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    Chapter 9 Gel-Based Gelatin Zymography to Examine Matrix Metalloproteinase Activity in Cell Culture
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    Chapter 10 Analysis of Enzymatic Activity of Matrix Metalloproteinase (MMP) by Collagen Zymography in Melanoma
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    Chapter 11 Measurement of Protease Activities Using Fluorogenic Substrates
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    Chapter 12 Targeting the Expression of Cathepsin B Using CRISPR/Cas9 System in Mammalian Cancer Cells
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    Chapter 13 Assessing the Influence of a Protease in Cell Migration Using the Barrier-Migration Assay
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    Chapter 14 Analysis of Invasive Activity of CAF Spheroids into Three Dimensional (3D) Collagen Matrices
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    Chapter 15 Beyond the Proteolytic Activity: Examining the Functional Relevance of the Ancillary Domains Using Tri-Dimensional (3D) Spheroid Invasion Assay
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    Chapter 16 Analyzing the Type II Transmembrane Serine Protease Hepsin-Dependent Basement Membrane Remodeling in 3D Cell Culture
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    Chapter 17 Evaluation of Tumor Vasculature Using a Syngeneic Tumor Model in Wild-Type and Genetically Modified Mice
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    Chapter 18 3D Image Analysis of the Microvasculature in Healthy and Diseased Tissues
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    Chapter 19 Human Tumor Tissue-Based 3D In Vitro Invasion Assays
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    Chapter 20 Ear Sponge Assay: A Method to Investigate Angiogenesis and Lymphangiogenesis in Mice
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    Chapter 21 Cancer Susceptibility Models in Protease-Deficient Mice
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    Chapter 22 Imaging Proteolytic Activities in Mouse Models of Cancer
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    Chapter 23 Protease Silencing to Explore the Molecular Mechanisms of Cancer and Aging
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    Chapter 24 Analysis of Somatic DNA Methylation Alterations of Genes Encoding Cell Surface Metallopeptidases in Colorectal Cancer
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    Chapter 25 Targeting Deubiquitinases in Cancer
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    Chapter 26 Generation of Highly Selective MMP Antibody Inhibitors
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    Chapter 27 Strategies to Target Matrix Metalloproteinases as Therapeutic Approach in Cancer
Attention for Chapter 18: 3D Image Analysis of the Microvasculature in Healthy and Diseased Tissues
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Chapter title
3D Image Analysis of the Microvasculature in Healthy and Diseased Tissues
Chapter number 18
Book title
Proteases and Cancer
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7595-2_18
Pubmed ID
Book ISBNs
978-1-4939-7594-5, 978-1-4939-7595-2
Authors

Álvaro Sahún-Español, Cristina Clemente, Alicia G. Arroyo

Abstract

The vasculature ensures optimal delivery of nutrients and oxygen throughout the body. The ability to respond to changing tissue demands requires constant reshaping of the vascular network through modulation of its density, diameter, or patterning. These processes are especially prominent after tissue damage or in tumors. The matrix metalloproteinase (MMP) family of endopeptidases are key contributors to vascular remodeling, able to cleave all extracellular matrix components and also soluble factors and membrane receptors. Observations recorded over several decades have established that the vasculature changes in pathological contexts, and this has formed the basis for developing angiotherapies as a novel approach to treating disease. For example, inhibition of angiogenesis or normalization of the vasculature has been proposed as treatment for cancer and chronic inflammatory diseases. In contrast, boosting angiogenesis may be helpful in ischemic conditions such as myocardial infarction and in regenerative medicine. Classical histological methods for the analysis of tissue vasculature have relied on thin sections that do not capture the complex 3D structure of the vascular network. Given the importance of understanding disease-associated vascular changes for the development of rational angiotherapeutic interventions, we present a protocol for thick section-based 3D image analysis of vasculature structure and function.

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

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 22%
Researcher 1 11%
Librarian 1 11%
Unknown 5 56%
Readers by discipline Count As %
Nursing and Health Professions 1 11%
Agricultural and Biological Sciences 1 11%
Psychology 1 11%
Medicine and Dentistry 1 11%
Unknown 5 56%
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 12 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.