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B Cell Receptor Signaling

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Cover of 'B Cell Receptor Signaling'

Table of Contents

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    Book Overview
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    Chapter 1 Activation-Induced Cytidine Deaminase Aided In Vitro Antibody Evolution
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    Chapter 2 Analyzing Mouse B Cell Responses Specific to LCMV Infection
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    Chapter 3 Expression of Exogenous Genes in Murine Primary B Cells and B Cell Lines Using Retroviral Vectors
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    Chapter 4 Biophysical Techniques to Study B Cell Activation: Single-Molecule Imaging and Force Measurements
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    Chapter 5 DNA-Based Probes for Measuring Mechanical Forces in Cell-Cell Contacts: Application to B Cell Antigen Extraction from Immune Synapses
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    Chapter 6 Deriving Quantitative Cell Biological Information from Dye-Dilution Lymphocyte Proliferation Experiments
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    Chapter 7 Flow Cytometry Analysis of mTOR Signaling in Antigen-Specific B Cells
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    Chapter 8 Ex Vivo Culture Assay to Measure Human Follicular Helper T (Tfh) Cell-Mediated Human B Cell Proliferation and Differentiation
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    Chapter 9 B Cell Receptor Signaling and Compartmentalization by Confocal Microscopy
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    Chapter 10 Imaging the Interactions Between B Cells and Antigen-Presenting Cells
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    Chapter 11 In Vivo Tracking of Particulate Antigen Localization and Recognition by B Lymphocytes at Lymph Nodes
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    Chapter 12 Study B Cell Antigen Receptor Nano-Scale Organization by In Situ Fab Proximity Ligation Assay
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    Chapter 13 Single-Particle Tracking of Cell Surface Proteins
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    Chapter 14 The Use of Intravital Two-Photon and Thick Section Confocal Imaging to Analyze B Lymphocyte Trafficking in Lymph Nodes and Spleen
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    Chapter 15 Time-Lapse Förster Resonance Energy Transfer Imaging by Confocal Laser Scanning Microscopy for Analyzing Dynamic Molecular Interactions in the Plasma Membrane of B Cells
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    Chapter 16 Understanding of B Cell Receptor Signaling Through a Photo-Activatable Antigen Presentation System
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    Chapter 17 Use of Streptolysin O-Induced Membrane Damage as a Method of Studying the Function of Lipid Rafts During B Cell Activation
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    Chapter 18 Visualization and Quantitative Analysis of the Actin Cytoskeleton Upon B Cell Activation
Attention for Chapter 5: DNA-Based Probes for Measuring Mechanical Forces in Cell-Cell Contacts: Application to B Cell Antigen Extraction from Immune Synapses
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Chapter title
DNA-Based Probes for Measuring Mechanical Forces in Cell-Cell Contacts: Application to B Cell Antigen Extraction from Immune Synapses
Chapter number 5
Book title
B Cell Receptor Signaling
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7474-0_5
Pubmed ID
Book ISBNs
978-1-4939-7473-3, 978-1-4939-7474-0
Authors

Katelyn M. Spillane, Pavel Tolar

Abstract

The production of antibodies requires the expansion and selection of high-affinity B cell clones. This process is initiated by antigen uptake through the B cell receptor (BCR), which recognizes and binds antigen displayed on the surface of an antigen-presenting cell (APC). To acquire the antigen, B cells use myosin contractility to physically pull BCR-antigen clusters from the APC membrane. These mechanical forces influence association and dissociation rates of BCR-antigen bonds, resulting in affinity-dependent acquisition of antigen by B cells. Mechanical regulation of B cell antigen acquisition from APCs remains poorly understood, although the recent development of DNA-based force sensors has enabled the measurement of mechanical forces generated in B cell-APC contacts. In this chapter, we describe a protocol to design, synthesize, and purify DNA-based force sensors to measure B cell antigen extraction forces using fluorescence microscopy.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 22%
Other 2 11%
Student > Master 2 11%
Professor 1 6%
Student > Bachelor 1 6%
Other 1 6%
Unknown 7 39%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 17%
Agricultural and Biological Sciences 2 11%
Immunology and Microbiology 2 11%
Business, Management and Accounting 1 6%
Economics, Econometrics and Finance 1 6%
Other 2 11%
Unknown 7 39%