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Cyton2: A Model of Immune Cell Population Dynamics That Includes Familial Instructional Inheritance
Lymphocytes are the central actors in adaptive immune responses. When challenged with antigen, a small number of B and T cells have a cognate receptor capable of recognising and responding to the insult. These cells proliferate, building an exponentially growing, differentiating clone army to fight...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9581048/ https://www.ncbi.nlm.nih.gov/pubmed/36303793 http://dx.doi.org/10.3389/fbinf.2021.723337 |
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author | Cheon, HoChan Kan, Andrey Prevedello, Giulio Oostindie, Simone C. Dovedi, Simon J. Hawkins, Edwin D. Marchingo, Julia M. Heinzel, Susanne Duffy, Ken R. Hodgkin, Philip D. |
author_facet | Cheon, HoChan Kan, Andrey Prevedello, Giulio Oostindie, Simone C. Dovedi, Simon J. Hawkins, Edwin D. Marchingo, Julia M. Heinzel, Susanne Duffy, Ken R. Hodgkin, Philip D. |
author_sort | Cheon, HoChan |
collection | PubMed |
description | Lymphocytes are the central actors in adaptive immune responses. When challenged with antigen, a small number of B and T cells have a cognate receptor capable of recognising and responding to the insult. These cells proliferate, building an exponentially growing, differentiating clone army to fight off the threat, before ceasing to divide and dying over a period of weeks, leaving in their wake memory cells that are primed to rapidly respond to any repeated infection. Due to the non-linearity of lymphocyte population dynamics, mathematical models are needed to interrogate data from experimental studies. Due to lack of evidence to the contrary and appealing to arguments based on Occam’s Razor, in these models newly born progeny are typically assumed to behave independently of their predecessors. Recent experimental studies, however, challenge that assumption, making clear that there is substantial inheritance of timed fate changes from each cell by its offspring, calling for a revision to the existing mathematical modelling paradigms used for information extraction. By assessing long-term live-cell imaging of stimulated murine B and T cells in vitro, we distilled the key phenomena of these within-family inheritances and used them to develop a new mathematical model, Cyton2, that encapsulates them. We establish the model’s consistency with these newly observed fine-grained features. Two natural concerns for any model that includes familial correlations would be that it is overparameterised or computationally inefficient in data fitting, but neither is the case for Cyton2. We demonstrate Cyton2’s utility by challenging it with high-throughput flow cytometry data, which confirms the robustness of its parameter estimation as well as its ability to extract biological meaning from complex mixed stimulation experiments. Cyton2, therefore, offers an alternate mathematical model, one that is, more aligned to experimental observation, for drawing inferences on lymphocyte population dynamics. |
format | Online Article Text |
id | pubmed-9581048 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95810482022-10-26 Cyton2: A Model of Immune Cell Population Dynamics That Includes Familial Instructional Inheritance Cheon, HoChan Kan, Andrey Prevedello, Giulio Oostindie, Simone C. Dovedi, Simon J. Hawkins, Edwin D. Marchingo, Julia M. Heinzel, Susanne Duffy, Ken R. Hodgkin, Philip D. Front Bioinform Bioinformatics Lymphocytes are the central actors in adaptive immune responses. When challenged with antigen, a small number of B and T cells have a cognate receptor capable of recognising and responding to the insult. These cells proliferate, building an exponentially growing, differentiating clone army to fight off the threat, before ceasing to divide and dying over a period of weeks, leaving in their wake memory cells that are primed to rapidly respond to any repeated infection. Due to the non-linearity of lymphocyte population dynamics, mathematical models are needed to interrogate data from experimental studies. Due to lack of evidence to the contrary and appealing to arguments based on Occam’s Razor, in these models newly born progeny are typically assumed to behave independently of their predecessors. Recent experimental studies, however, challenge that assumption, making clear that there is substantial inheritance of timed fate changes from each cell by its offspring, calling for a revision to the existing mathematical modelling paradigms used for information extraction. By assessing long-term live-cell imaging of stimulated murine B and T cells in vitro, we distilled the key phenomena of these within-family inheritances and used them to develop a new mathematical model, Cyton2, that encapsulates them. We establish the model’s consistency with these newly observed fine-grained features. Two natural concerns for any model that includes familial correlations would be that it is overparameterised or computationally inefficient in data fitting, but neither is the case for Cyton2. We demonstrate Cyton2’s utility by challenging it with high-throughput flow cytometry data, which confirms the robustness of its parameter estimation as well as its ability to extract biological meaning from complex mixed stimulation experiments. Cyton2, therefore, offers an alternate mathematical model, one that is, more aligned to experimental observation, for drawing inferences on lymphocyte population dynamics. Frontiers Media S.A. 2021-10-26 /pmc/articles/PMC9581048/ /pubmed/36303793 http://dx.doi.org/10.3389/fbinf.2021.723337 Text en Copyright © 2021 Cheon, Kan, Prevedello, Oostindie, Dovedi, Hawkins, Marchingo, Heinzel, Duffy and Hodgkin. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Bioinformatics Cheon, HoChan Kan, Andrey Prevedello, Giulio Oostindie, Simone C. Dovedi, Simon J. Hawkins, Edwin D. Marchingo, Julia M. Heinzel, Susanne Duffy, Ken R. Hodgkin, Philip D. Cyton2: A Model of Immune Cell Population Dynamics That Includes Familial Instructional Inheritance |
title | Cyton2: A Model of Immune Cell Population Dynamics That Includes Familial Instructional Inheritance |
title_full | Cyton2: A Model of Immune Cell Population Dynamics That Includes Familial Instructional Inheritance |
title_fullStr | Cyton2: A Model of Immune Cell Population Dynamics That Includes Familial Instructional Inheritance |
title_full_unstemmed | Cyton2: A Model of Immune Cell Population Dynamics That Includes Familial Instructional Inheritance |
title_short | Cyton2: A Model of Immune Cell Population Dynamics That Includes Familial Instructional Inheritance |
title_sort | cyton2: a model of immune cell population dynamics that includes familial instructional inheritance |
topic | Bioinformatics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9581048/ https://www.ncbi.nlm.nih.gov/pubmed/36303793 http://dx.doi.org/10.3389/fbinf.2021.723337 |
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