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B Cell Receptor Signaling

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Attention for Chapter 482: Receptor Dissociation and B-Cell Activation
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Chapter title
Receptor Dissociation and B-Cell Activation
Chapter number 482
Book title
B Cell Receptor Signaling
Published in
Current topics in microbiology and immunology, January 2015
DOI 10.1007/82_2015_482
Pubmed ID
Book ISBNs
978-3-31-926131-7, 978-3-31-926133-1
Authors

Jianying Yang, Michael Reth, Yang, Jianying, Reth, Michael

Abstract

The B-cell antigen receptor (BCR) is one of the most abundant receptors on the surface of B cells with roughly 100,000-200,000 copies per cell. Signaling through the BCR is crucial for the activation and differentiation of B cells. Unlike other receptors, the BCR can be activated by a large set of structurally different ligands, but the molecular mechanism of BCR activation is still a matter of controversy. Although dominant for a long time, the cross-link model (CLM) of BCR activation is not supported by recent studies of the nanoscale organization of the BCR on the surface of resting B cells. In contrast to the prediction of CLM, the numerous BCR complexes on these cells are not randomly distributed monomers but rather form oligomers which reside within membrane confinements. This finding is more in line with the dissociation activation model (DAM) , wherein B-cell activation is accompanied by an opening of the auto-inhibited BCR oligomers instead of a cross-linking of the BCR monomers . In this review, we discuss in detail the new findings and their implications for BCR signaling.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 12 23%
Student > Ph. D. Student 9 17%
Student > Master 8 15%
Student > Doctoral Student 6 11%
Researcher 5 9%
Other 0 0%
Unknown 13 25%
Readers by discipline Count As %
Immunology and Microbiology 13 25%
Biochemistry, Genetics and Molecular Biology 12 23%
Agricultural and Biological Sciences 5 9%
Medicine and Dentistry 4 8%
Engineering 3 6%
Other 3 6%
Unknown 13 25%