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Mast Cells

Overview of attention for book
Mast Cells
Springer New York

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Paul Ehrlich's Mastzellen: A Historical Perspective of Relevant Developments in Mast Cell Biology.
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    Chapter 2 The phylogenetic profile of mast cells.
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    Chapter 3 Mast Cell Development and Function in the Zebrafish
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    Chapter 4 Human mast cell and basophil/eosinophil progenitors.
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    Chapter 5 Methods for the Study of Mast Cell Recruitment and Accumulation in Different Tissues
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    Chapter 6 Notch2 Signaling in Mast Cell Development and Distribution in the Intestine
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    Chapter 7 Mast cells in human health and disease.
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    Chapter 8 The emerging prominence of the cardiac mast cell as a potent mediator of adverse myocardial remodeling.
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    Chapter 9 The parasympathetic nervous system as a regulator of mast cell function.
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    Chapter 10 Growth of Human Mast Cells from Bone Marrow and Peripheral Blood-Derived CD34 + Pluripotent Hematopoietic Cells
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    Chapter 11 Isolation and Characterization of Human Intestinal Mast Cells
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    Chapter 12 Human mast cell activation with viruses and pathogen products.
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    Chapter 13 Basic Techniques to Study FcεRI Signaling in Mast Cells
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    Chapter 14 Membrane-Cytoskeleton Dynamics in the Course of Mast Cell Activation
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    Chapter 15 FcεRI Expression and Dynamics on Mast Cells
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    Chapter 16 Regulation of mast cell survival and apoptosis.
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    Chapter 17 Protein Tyrosine Phosphatases in Mast Cell Signaling
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    Chapter 18 MicroRNA Function in Mast Cell Biology: Protocols to Characterize and Modulate MicroRNA Expression
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    Chapter 19 Assay of mast cell mediators.
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    Chapter 20 Induction of mast cell apoptosis by a novel secretory granule-mediated pathway.
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    Chapter 21 Measurement of Nitric Oxide in Mast Cells with the Fluorescent Indicator DAF-FM Diacetate
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    Chapter 22 Real-Time Imaging of Ca 2+ Mobilization and Degranulation in Mast Cells
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    Chapter 23 Flow Cytometry-Based Monitoring of Mast Cell Activation
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    Chapter 24 Measurement of Mast Cell Surface Molecules BY High-Throughput Immunophenotyping Using Transcription (HIT).
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    Chapter 25 Cre/loxP-Based Mouse Models of Mast Cell Deficiency and Mast Cell-Specific Gene Inactivation
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    Chapter 26 Evaluation of Synovial Mast Cell Functions in Autoimmune Arthritis
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    Chapter 27 Methods for the Study of Mast Cells in Cancer
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    Chapter 28 Studying Mast Cells in Peripheral Tolerance by Using a Skin Transplantation Model
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    Chapter 29 The function of mast cells in autoimmune glomerulonephritis.
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    Chapter 30 A Mouse Model of Atopic Dermatitis
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    Chapter 31 Mouse models of allergic asthma.
  33. Altmetric Badge
    Chapter 32 Methods in Assessment of Airway Reactivity in Mice
Attention for Chapter 31: Mouse models of allergic asthma.
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Chapter title
Mouse models of allergic asthma.
Chapter number 31
Book title
Mast Cells
Published in
Methods in molecular biology, January 2015
DOI 10.1007/978-1-4939-1568-2_31
Pubmed ID
Book ISBNs
978-1-4939-1567-5, 978-1-4939-1568-2
Authors

Matthew Gold, David Marsolais, Marie-Renee Blanchet, Gold, Matthew, Marsolais, David, Blanchet, Marie-Renee

Abstract

In the last 20 years, the development of murine models of allergic asthma has provided researchers with a means to explore the mechanisms of this T-helper type 2 (Th2)-driven inflammatory disease. While systemic sensitization and airway challenge with ovalbumin has been the most widely used model, recent emphasis has been placed on the development of models using more naturally occurring antigens. However, the diversity of models currently available makes it hard for investigators new to this field to choose to use the most effective and appropriate model to test their hypothesis. Here we describe three different mouse models of allergic asthma, including the classical ovalbumin model, a modified ovalbumin model that has been shown to be mast-cell dependent, as well as a house dust mite antigen-induced model. We also discuss briefly their characterization and differences, in the aim to facilitate the choice of the appropriate model when working on this intricate Th2 inflammatory disease.

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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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 31%
Student > Postgraduate 3 23%
Student > Ph. D. Student 1 8%
Professor > Associate Professor 1 8%
Researcher 1 8%
Other 0 0%
Unknown 3 23%
Readers by discipline Count As %
Medicine and Dentistry 4 31%
Pharmacology, Toxicology and Pharmaceutical Science 2 15%
Agricultural and Biological Sciences 2 15%
Biochemistry, Genetics and Molecular Biology 1 8%
Unknown 4 31%
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 November 2014.
All research outputs
#15,310,081
of 22,770,070 outputs
Outputs from Methods in molecular biology
#5,320
of 13,090 outputs
Outputs of similar age
#208,771
of 352,903 outputs
Outputs of similar age from Methods in molecular biology
#343
of 996 outputs
Altmetric has tracked 22,770,070 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 13,090 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 45th percentile – i.e., 45% 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 352,903 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 996 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.