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Regulatory B Cells

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Cover of 'Regulatory B Cells'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Purification and Immunophenotypic Characterization of Murine MZ and T2-MZP Cells
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    Chapter 2 Purification and Immune Phenotyping of B-1 Cells from Body Cavities of Mice
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    Chapter 3 Purification and Immunophenotypic Characterization of Murine B10 B Cells
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    Chapter 4 Purification and Immunophenotypic Characterization of Human B Cells with Regulatory Functions
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    Chapter 5 IL-10 Detection in Murine B Cells: Pros and Cons of the Different Techniques
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    Chapter 6 TGF-β Detection and Measurement in Murine B Cells: Pros and Cons of the Different Techniques
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    Chapter 7 Characterization and Activity of Fas Ligand Producing CD5(+) B Cells.
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    Chapter 8 Utilization of a Lentiviral System for the Generation of B Cells with Regulatory Properties
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    Chapter 9 Ex Vivo Generation of Murine IL-10-Producing B Cells by Fusokines.
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    Chapter 10 Toll-like receptor ligation for the induction of regulatory B cells.
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    Chapter 11 The Generation of Regulatory B Cells by Helminth Parasites
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    Chapter 12 Use of cocultures for the study of cellular interactions influencing B cell regulatory functions.
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    Chapter 13 Regulatory B Cells in Experimental Mouse Models of Arthritis
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    Chapter 14 Regulatory B Cells in Mouse Models of Systemic Lupus Erythematosus (SLE)
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    Chapter 15 Regulatory B cells in allergic airways disease and asthma.
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    Chapter 16 Regulatory B Cells in Mouse Models of Intestinal Inflammation
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    Chapter 17 Regulatory B Cells in Experimental Autoimmune Encephalomyelitis (EAE).
  19. Altmetric Badge
    Chapter 18 Regulatory B cells, helminths, and multiple sclerosis.
  20. Altmetric Badge
    Chapter 19 Generation and identification of tumor-evoked regulatory B cells.
Attention for Chapter 17: Regulatory B Cells in Experimental Autoimmune Encephalomyelitis (EAE).
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Chapter title
Regulatory B Cells in Experimental Autoimmune Encephalomyelitis (EAE).
Chapter number 17
Book title
Regulatory B Cells
Published in
Methods in molecular biology, July 2014
DOI 10.1007/978-1-4939-1161-5_17
Pubmed ID
Book ISBNs
978-1-4939-1160-8, 978-1-4939-1161-5
Authors

Ray A, Basu S, Avijit Ray, Sreemanti Basu

Abstract

B cells are thought to play a pathogenic role in multiple sclerosis (MS), an autoimmune disease affecting the central nervous system (CNS). This idea is supported by the reduction of disease in MS patients undergoing antibody-mediated B cell depletion therapy. In contrast, in experimental autoimmune encephalomyelitis (EAE), a mouse model of MS, B cells have been shown to play a regulatory role. This is suggestive of a dual role for B cells in CNS autoimmunity. It is possible that a critical balance between the pathogenic and regulatory populations of B cells might be involved in the manifestation of the disease. Although in mice, different B cell subsets have been shown to exert immunoregulation through varied mechanisms, the phenotype of regulatory B cells in humans and factors affecting their function are not well known. Also, the origin and development of regulatory B cells is not known. It is important to thoroughly identify the different populations of B cells that might be involved in suppressing CNS autoimmunity, their mode of function and factors that regulate their immunosuppressive properties for using regulatory B cells as a therapy for MS. Here we present methods to study the phenotype and mechanisms of immune suppression by B cells in different mouse models of EAE.

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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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 10%
Unknown 9 90%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 20%
Student > Postgraduate 2 20%
Professor 1 10%
Student > Ph. D. Student 1 10%
Other 1 10%
Other 2 20%
Unknown 1 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 30%
Medicine and Dentistry 3 30%
Energy 1 10%
Immunology and Microbiology 1 10%
Unknown 2 20%
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 16 July 2014.
All research outputs
#20,233,066
of 22,758,963 outputs
Outputs from Methods in molecular biology
#9,865
of 13,089 outputs
Outputs of similar age
#191,299
of 226,895 outputs
Outputs of similar age from Methods in molecular biology
#43
of 100 outputs
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