2018
DOI: 10.3389/fimmu.2018.02020
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Computer Simulation of Multi-Color Brainbow Staining and Clonal Evolution of B Cells in Germinal Centers

Abstract: Clonal evolution of B cells in germinal centers (GCs) is central to affinity maturation of antibodies in response to pathogens. Permanent or tamoxifen-induced multi-color recombination of B cells based on the brainbow allele allows monitoring the degree of color dominance in the course of the GC reaction. Here, we use computer simulations of GC reactions in order to replicate the evolution of color dominance in silico and to define rules for the interpretation of these data in terms of clonal dominance. We fin… Show more

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Cited by 23 publications
(26 citation statements)
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“…In the future, computational models may mature to allow prediction of vaccination outcomes based on key parameters such as vaccine composition, administration schedule and the pre-vaccination B cell repertoire of individual patients. [43] Provide basis for interpretation of multi-colour stained GC reactions [38] High-resolution 3D lattice simulation comprising Tfh cells, FDCs, stromal cells, B cells and their interactions C++ and R, available on figshare link [42] Examine relation between clone abundance and affinity Combines deterministic clonal evolution with stochastic emergence of new clones R, available upon request [41] molecular mechanisms…”
Section: Discussionmentioning
confidence: 99%
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“…In the future, computational models may mature to allow prediction of vaccination outcomes based on key parameters such as vaccine composition, administration schedule and the pre-vaccination B cell repertoire of individual patients. [43] Provide basis for interpretation of multi-colour stained GC reactions [38] High-resolution 3D lattice simulation comprising Tfh cells, FDCs, stromal cells, B cells and their interactions C++ and R, available on figshare link [42] Examine relation between clone abundance and affinity Combines deterministic clonal evolution with stochastic emergence of new clones R, available upon request [41] molecular mechanisms…”
Section: Discussionmentioning
confidence: 99%
“…Several GCs in parallel [24,30,35] Several consecutive exposures [24,35] Spatially resolved GC [33,34,42] Shape space sequence [33,34,50] Co-evolving epitopes [49] Binary sequence [35,49] Sequence-free [40,41,48,52,54] Seeding by memory B cells [24,35] Stochastic differential equations [49] ODE-based simulation [41,48,54] Agent-based simulation [24,33,34,35,50,40] Class-switching [54] Molecular detail of T-B interaction [33,34] Full AA alphabet sequence [24,43] Role for plasma B cells [49,54,30] Treatment of Ab CDR and FWR regions [24,52] Rugged fitness landscape [30] Several epitopes simultaneously [30,35,48,50,53] Role for memory B cells [35,24] ...…”
Section: B Cell Responsementioning
confidence: 99%
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“…The method can generate up to 10 different color combinations, thus limiting the experiment to characterising the evolution of a maximum number of 10 clones. A Normalized Dominance Score (NDS), defined as the fraction of all B cells in a GC that carry the dominant color combination, was used to characterize clonal diversity [15,63]. To simulate this experiment, we cluster founders into 10 groups, and define an NDS score as the ratio between the cell count of the dominant cluster over the total number of cells.…”
Section: Clonal Diversitymentioning
confidence: 99%
“…Whereas the B-cell proliferation concentrates in the GC dark zones, the selection of B cell clones takes place in the GC light zones [26]. In order to explain the details of the GC cellular dynamics involved in the B cell responses, Dr. Victora introduced the "Brainbow System" that allows the visualization of affinity maturation at the single GC level, and updated the model of GC selection [27]. Apparently, only about 5% of the GC expanded B cells in a secondary response are memory cells generated in the first infection.…”
Section: B-cell Developmentmentioning
confidence: 99%