Immune system learning and memory quantified by graphical analysis of B-lymphocyte phylogenetic trees

被引：24

作者：

Dunn-Walters, DK

Edelman, H

Mehr, R ^{[1
]}

机构：

[1] Bar Ilan Univ, Fac Life Sci, IL-52900 Ramat Gan, Israel

[2] GKT Med Sch, Dept Immunobiol, London, England

[3] GKT Med Sch, Dept Histopathol, London, England

来源：

BIOSYSTEMS | 2004年 / 76卷 / 1-3期

关键词：

information processing in neural and non-neural biosystems; novel bio-information processing systems; molecular evolution and theoretical biology; simulation of genetic and ecological systems; immune system; B lymphocytes; somatic hypermutation; germinal center; antibodies; graph theory; phylogenetic trees; bioinformatics;

D O I：

10.1016/j.biosystems.2004.05.011

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

The immune system learns from its encounters with pathogens and memorizes its experiences. One of the mechanisms it uses for this purpose is the intra-individual evolution of antigen receptors on B lymphocytes, achieved via hypermutation and selection of antigen receptor variable region genes during an immune response. We have developed a novel method for analyzing the graphical properties of phylogenetic trees of receptor genes which have been mutated and selected during an immune response. In the study presented here, we address the artifacts introduced by experimental methods of cell collection for DNA analysis, the meaning of each parameter measured on the tree graphs, and the differences between the dynamics of the humoral immune response in different lymphoid tissues.

引用

页码：141 / 155

页数：15

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