Cited by 50T-cell and B-cell ImmunologyArtificial Immune Systems Applicationsvaccines and immunoinformatics approaches

Cutting Edge: Back to “One-Way” Germinal Centers

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Meyer-Hermann, Michael E, Maini, Philip K·2005·The Journal of Immunology

Abstract

The present status of germinal center (GC) research is revisited using in silico simulations based on recent lymphocyte motility data in mice. The generally adopted view of several rounds of somatic hypermutations and positive selection is analyzed with special emphasis on the spatial organization of the GC reaction. We claim that the development of dark zones is not necessary for successful GC reactions to develop. We find that a recirculation of positively selected centrocytes to the dark zone is rather unlikely. Instead we propose a scenario that combines a multiple-step mutation and selection concept with a “one-way” GC in the sense of cell migration.

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Crossref · 10.4049/jimmunol.174.5.2489

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  • An acute infectious disease can be self-limiting and involve an innate immune response of 2 to 3 days; the subsequent phase of the adaptive immune response can last approximately 3 to 4 weeks.

    “An acute infectious disease can be self-limiting and involve an innate immune response of 2 to 3 days; the subsequent phase of the adaptive immune response can last approximately 3 to 4 weeks.”

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Authors
Meyer-Hermann, M. E., & Maini, P. K.
Affiliations
  • Centre for Mathematical Biology, Mathematical Institute , Oxford ,
  • University of Oxford (GB)
Venue
The Journal of Immunology
Published
2005-03-01
Volume
174
Issue
5
Pages
2489-2493
ISSN
  • 0022-1767 (ISSN-L)
  • 1550-6606
OpenAlex
W2137783233
Cited by
50
References
45
Citations by year
2024: 2 · 2020: 1 · 2019: 4 · 2018: 2 · 2017: 2 · 2016: 3 · 2015: 2 · 2014: 1 · 2012: 4
FWCI
2.25
Type
journal article
Language
en
Open access
Locations
  • The Journal of Immunology (publishedVersion)
  • PubMed (publishedVersion)
  • Oxford University Research Archive (ORA) (University of Oxford) (acceptedVersion)
Topics
  • Life Sciences › Immunology and Microbiology › Immunology › T-cell and B-cell Immunology
  • Physical Sciences › Engineering › Biomedical Engineering › Artificial Immune Systems Applications
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › vaccines and immunoinformatics approaches
Keywords
germinal center, somatic hypermutation, positive selection, centrocytes, lymphocyte motility, dark zone, computer simulation, cell migration, B cell tolerance
MeSH terms
Animals, Cell Communication, Cell Cycle, Cell Differentiation, Clone Cells, Lymphocyte Activation, B-Lymphocyte Subsets, T-Lymphocyte Subsets, Models, Immunological, Germinal Center, Computational Biology, Dendritic Cells, Follicular, Cell Proliferation, Mice, Rats

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