Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
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
_version_ 1784812530629083136
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
work_keys_str_mv AT cheonhochan cyton2amodelofimmunecellpopulationdynamicsthatincludesfamilialinstructionalinheritance
AT kanandrey cyton2amodelofimmunecellpopulationdynamicsthatincludesfamilialinstructionalinheritance
AT prevedellogiulio cyton2amodelofimmunecellpopulationdynamicsthatincludesfamilialinstructionalinheritance
AT oostindiesimonec cyton2amodelofimmunecellpopulationdynamicsthatincludesfamilialinstructionalinheritance
AT dovedisimonj cyton2amodelofimmunecellpopulationdynamicsthatincludesfamilialinstructionalinheritance
AT hawkinsedwind cyton2amodelofimmunecellpopulationdynamicsthatincludesfamilialinstructionalinheritance
AT marchingojuliam cyton2amodelofimmunecellpopulationdynamicsthatincludesfamilialinstructionalinheritance
AT heinzelsusanne cyton2amodelofimmunecellpopulationdynamicsthatincludesfamilialinstructionalinheritance
AT duffykenr cyton2amodelofimmunecellpopulationdynamicsthatincludesfamilialinstructionalinheritance
AT hodgkinphilipd cyton2amodelofimmunecellpopulationdynamicsthatincludesfamilialinstructionalinheritance