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

Deborah K. Dunn-Walters; Hanna Edelman; Ramit Mehr

doi:10.1016/j.biosystems.2004.05.011

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

Deborah K. Dunn-Walters
, Hanna Edelman
, Ramit Mehr

The Mina and Everard Goodman Faculty of Life Sciences - at Bar-Ilan University

King's College London
Bar-Ilan University

Research output: Contribution to journal › Article › peer-review

25 Scopus citations

Abstract

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.

Original language	English
Pages (from-to)	141-155
Number of pages	15
Journal	BioSystems
Volume	76
Issue number	1-3
DOIs	https://doi.org/10.1016/j.biosystems.2004.05.011
State	Published - 2004

Bibliographical note

Funding Information:
The authors are grateful to Dr. Cheng Shuhan for help with data processing, and to Profs. Rose Mage and Devinder Sehgal for critical reading of the manuscript. The work was supported in part by Israel Science Foundation grant number 759/01-1, a grant from the Human Frontiers Science Program. The Yigal Alon Fellowship, and the Bar-Ilan University internal grant (to R. Mehr).

Funding

The authors are grateful to Dr. Cheng Shuhan for help with data processing, and to Profs. Rose Mage and Devinder Sehgal for critical reading of the manuscript. The work was supported in part by Israel Science Foundation grant number 759/01-1, a grant from the Human Frontiers Science Program. The Yigal Alon Fellowship, and the Bar-Ilan University internal grant (to R. Mehr).

Funders	Funder number
Human Frontiers Science Program
Bar-Ilan University
Israel Science Foundation	759/01-1

Keywords

B lymphocytes
Immune system
Information processing in neural and non-neural biosystems
Molecular evolution and theoretical biology
Novel bio-information processing systems
Simulation of genetic and ecological systems
Somatic hypermutation

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10.1016/j.biosystems.2004.05.011

Cite this

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title = "Immune system learning and memory quantified by graphical analysis of B-lymphocyte phylogenetic trees",

abstract = "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.",

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note = "Funding Information: The authors are grateful to Dr. Cheng Shuhan for help with data processing, and to Profs. Rose Mage and Devinder Sehgal for critical reading of the manuscript. The work was supported in part by Israel Science Foundation grant number 759/01-1, a grant from the Human Frontiers Science Program. The Yigal Alon Fellowship, and the Bar-Ilan University internal grant (to R. Mehr).",

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

Abstract

Bibliographical note

Funding

Keywords

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