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Spatial Stochastic Model of the Pre-B Cell Receptor

Survival and proliferation of immature B lymphocytes requires expression and tonic signaling of the pre-B cell receptor (pre-BCR). This low level, ligand-independent signaling is likely achieved through frequent, but short-lived, homo interactions. Tonic signaling is also central in the pathology of...

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Autores principales: Kerketta, Romica, Erasmus, M. Frank, Wilson, Bridget S., Halász, Ádám M., Edwards, Jeremy S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10123485/
https://www.ncbi.nlm.nih.gov/pubmed/35482702
http://dx.doi.org/10.1109/TCBB.2022.3166149
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author Kerketta, Romica
Erasmus, M. Frank
Wilson, Bridget S.
Halász, Ádám M.
Edwards, Jeremy S.
author_facet Kerketta, Romica
Erasmus, M. Frank
Wilson, Bridget S.
Halász, Ádám M.
Edwards, Jeremy S.
author_sort Kerketta, Romica
collection PubMed
description Survival and proliferation of immature B lymphocytes requires expression and tonic signaling of the pre-B cell receptor (pre-BCR). This low level, ligand-independent signaling is likely achieved through frequent, but short-lived, homo interactions. Tonic signaling is also central in the pathology of precursor B acute lymphoblastic leukemia (B-ALL). In order to understand how repeated, transient events can lead to sustained signaling and to assess the impact of receptor accumulation induced by the membrane landscape, we developed a spatial stochastic model of receptor aggregation and downstream signaling events. Our rule- and agent-based model builds on previous mature BCR signaling models and incorporates novel parameters derived from single particle tracking of pre-BCR on surfaces of two different B-ALL cell lines, 697 and Nalm6. Live cell tracking of receptors on the two cell lines revealed characteristic differences in their dimer dissociation rates and diffusion coefficients. We report here that these differences affect pre-BCR aggregation and consequent signal initiation events. Receptors on Nalm6 cells, which have a lower off-rate and lower diffusion coefficient, more frequently form higher order oligomers than pre-BCR on 697 cells, resulting in higher levels of downstream phosphorylation in the Nalm6 cell line.
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spelling pubmed-101234852023-04-24 Spatial Stochastic Model of the Pre-B Cell Receptor Kerketta, Romica Erasmus, M. Frank Wilson, Bridget S. Halász, Ádám M. Edwards, Jeremy S. IEEE/ACM Trans Comput Biol Bioinform Article Survival and proliferation of immature B lymphocytes requires expression and tonic signaling of the pre-B cell receptor (pre-BCR). This low level, ligand-independent signaling is likely achieved through frequent, but short-lived, homo interactions. Tonic signaling is also central in the pathology of precursor B acute lymphoblastic leukemia (B-ALL). In order to understand how repeated, transient events can lead to sustained signaling and to assess the impact of receptor accumulation induced by the membrane landscape, we developed a spatial stochastic model of receptor aggregation and downstream signaling events. Our rule- and agent-based model builds on previous mature BCR signaling models and incorporates novel parameters derived from single particle tracking of pre-BCR on surfaces of two different B-ALL cell lines, 697 and Nalm6. Live cell tracking of receptors on the two cell lines revealed characteristic differences in their dimer dissociation rates and diffusion coefficients. We report here that these differences affect pre-BCR aggregation and consequent signal initiation events. Receptors on Nalm6 cells, which have a lower off-rate and lower diffusion coefficient, more frequently form higher order oligomers than pre-BCR on 697 cells, resulting in higher levels of downstream phosphorylation in the Nalm6 cell line. 2023 2023-02-03 /pmc/articles/PMC10123485/ /pubmed/35482702 http://dx.doi.org/10.1109/TCBB.2022.3166149 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Kerketta, Romica
Erasmus, M. Frank
Wilson, Bridget S.
Halász, Ádám M.
Edwards, Jeremy S.
Spatial Stochastic Model of the Pre-B Cell Receptor
title Spatial Stochastic Model of the Pre-B Cell Receptor
title_full Spatial Stochastic Model of the Pre-B Cell Receptor
title_fullStr Spatial Stochastic Model of the Pre-B Cell Receptor
title_full_unstemmed Spatial Stochastic Model of the Pre-B Cell Receptor
title_short Spatial Stochastic Model of the Pre-B Cell Receptor
title_sort spatial stochastic model of the pre-b cell receptor
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10123485/
https://www.ncbi.nlm.nih.gov/pubmed/35482702
http://dx.doi.org/10.1109/TCBB.2022.3166149
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