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Model-Based Assessment of the Role of Uneven Partitioning of Molecular Content on Heterogeneity and Regulation of Differentiation in CD8 T-Cell Immune Responses
Activation of naive CD8 T-cells can lead to the generation of multiple effector and memory subsets. Multiple parameters associated with activation conditions are involved in generating this diversity that is associated with heterogeneous molecular contents of activated cells. Although naive cell pol...
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Published in: | Frontiers in immunology 2019-02, Vol.10, p.230-230 |
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description | Activation of naive CD8 T-cells can lead to the generation of multiple effector and memory subsets. Multiple parameters associated with activation conditions are involved in generating this diversity that is associated with heterogeneous molecular contents of activated cells. Although naive cell polarisation upon antigenic stimulation and the resulting asymmetric division are known to be a major source of heterogeneity and cell fate regulation, the consequences of stochastic uneven partitioning of molecular content upon subsequent divisions remain unclear yet. Here we aim at studying the impact of uneven partitioning on molecular-content heterogeneity and then on the immune response dynamics at the cellular level. To do so, we introduce a multiscale mathematical model of the CD8 T-cell immune response in the lymph node. In the model, cells are described as agents evolving and interacting in a 2D environment while a set of differential equations, embedded in each cell, models the regulation of intra and extracellular proteins involved in cell differentiation. Based on the analysis of
data at the single cell level, we show that immune response dynamics can be explained by the molecular-content heterogeneity generated by uneven partitioning at cell division. In particular, uneven partitioning acts as a regulator of cell differentiation and induces the emergence of two coexisting sub-populations of cells exhibiting antagonistic fates. We show that the degree of unevenness of molecular partitioning, along all cell divisions, affects the outcome of the immune response and can promote the generation of memory cells. |
doi_str_mv | 10.3389/fimmu.2019.00230 |
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data at the single cell level, we show that immune response dynamics can be explained by the molecular-content heterogeneity generated by uneven partitioning at cell division. In particular, uneven partitioning acts as a regulator of cell differentiation and induces the emergence of two coexisting sub-populations of cells exhibiting antagonistic fates. We show that the degree of unevenness of molecular partitioning, along all cell divisions, affects the outcome of the immune response and can promote the generation of memory cells.</description><identifier>ISSN: 1664-3224</identifier><identifier>EISSN: 1664-3224</identifier><identifier>DOI: 10.3389/fimmu.2019.00230</identifier><identifier>PMID: 30842771</identifier><language>eng</language><publisher>Switzerland: Frontiers</publisher><subject>Adaptive immunology ; agent-based models ; asymmetric division ; Cellular Biology ; Computer Science ; immune memory ; immune response ; Immunology ; Life Sciences ; Modeling and Simulation ; Multiagent Systems ; multiscale modeling</subject><ispartof>Frontiers in immunology, 2019-02, Vol.10, p.230-230</ispartof><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><rights>Copyright © 2019 Girel, Arpin, Marvel, Gandrillon and Crauste. 2019 Girel, Arpin, Marvel, Gandrillon and Crauste</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c496t-5f505ac890ef849939c50f03738c56620e9747f065214f911990f2adfdb9a9a93</citedby><cites>FETCH-LOGICAL-c496t-5f505ac890ef849939c50f03738c56620e9747f065214f911990f2adfdb9a9a93</cites><orcidid>0000-0001-6241-459X ; 0000-0002-3676-6513 ; 0000-0002-9979-9638 ; 0000-0003-0915-5554</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6392104/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6392104/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30842771$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-02008705$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Girel, Simon</creatorcontrib><creatorcontrib>Arpin, Christophe</creatorcontrib><creatorcontrib>Marvel, Jacqueline</creatorcontrib><creatorcontrib>Gandrillon, Olivier</creatorcontrib><creatorcontrib>Crauste, Fabien</creatorcontrib><title>Model-Based Assessment of the Role of Uneven Partitioning of Molecular Content on Heterogeneity and Regulation of Differentiation in CD8 T-Cell Immune Responses</title><title>Frontiers in immunology</title><addtitle>Front Immunol</addtitle><description>Activation of naive CD8 T-cells can lead to the generation of multiple effector and memory subsets. Multiple parameters associated with activation conditions are involved in generating this diversity that is associated with heterogeneous molecular contents of activated cells. Although naive cell polarisation upon antigenic stimulation and the resulting asymmetric division are known to be a major source of heterogeneity and cell fate regulation, the consequences of stochastic uneven partitioning of molecular content upon subsequent divisions remain unclear yet. Here we aim at studying the impact of uneven partitioning on molecular-content heterogeneity and then on the immune response dynamics at the cellular level. To do so, we introduce a multiscale mathematical model of the CD8 T-cell immune response in the lymph node. In the model, cells are described as agents evolving and interacting in a 2D environment while a set of differential equations, embedded in each cell, models the regulation of intra and extracellular proteins involved in cell differentiation. Based on the analysis of
data at the single cell level, we show that immune response dynamics can be explained by the molecular-content heterogeneity generated by uneven partitioning at cell division. In particular, uneven partitioning acts as a regulator of cell differentiation and induces the emergence of two coexisting sub-populations of cells exhibiting antagonistic fates. We show that the degree of unevenness of molecular partitioning, along all cell divisions, affects the outcome of the immune response and can promote the generation of memory cells.</description><subject>Adaptive immunology</subject><subject>agent-based models</subject><subject>asymmetric division</subject><subject>Cellular Biology</subject><subject>Computer Science</subject><subject>immune memory</subject><subject>immune response</subject><subject>Immunology</subject><subject>Life Sciences</subject><subject>Modeling and Simulation</subject><subject>Multiagent Systems</subject><subject>multiscale modeling</subject><issn>1664-3224</issn><issn>1664-3224</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNpdUk1vGyEQXVWtmsjJvaeKY3tYd_jYXbhUcp22tuSoVZScEd4dbKJdcJe1pfyb_tSydhIlBSFGw3tvGHhZ9oHClHOpvljXdfspA6qmAIzDm-yclqXIOWPi7Yv4LLuM8R7SEIpzXrzPzjhIwaqKnmd_r0ODbf7NRGzILEaMsUM_kGDJsEVyE1oc4zuPB_Tkt-kHN7jgnd-M6et0XO9b05N58MOR58kCB-zDBj264YEY35Ab3CTQyBtJV85a7BPYnVLOk_mVJLf5HNuWLFNTPhXGuAs-Xecie2dNG_HycZ9kdz--384X-erXz-V8tsprocohL2wBhamlArRSKMVVXYAFXnFZF2XJAFUlKgtlwaiwilKlwDLT2GatTJp8ki1Puk0w93rXu870DzoYp4-J0G_02HzdoqZWNZxKIyvWiLTWTBkQwnKkJecVJq2vJ63dft1hU6dee9O-En194t1Wb8JBl1wxCiIJfD4JbP-jLWYrPeaAAcgKigNN2E-PxfrwZ49x0J2LdXpK4zHso2ZUSiULkb5-ksEJWvchxh7tszYFPXpKHz2lR0_po6cS5ePLVp4JTw7i_wDunckC</recordid><startdate>20190219</startdate><enddate>20190219</enddate><creator>Girel, Simon</creator><creator>Arpin, Christophe</creator><creator>Marvel, Jacqueline</creator><creator>Gandrillon, Olivier</creator><creator>Crauste, Fabien</creator><general>Frontiers</general><general>Frontiers Media S.A</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>1XC</scope><scope>VOOES</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-6241-459X</orcidid><orcidid>https://orcid.org/0000-0002-3676-6513</orcidid><orcidid>https://orcid.org/0000-0002-9979-9638</orcidid><orcidid>https://orcid.org/0000-0003-0915-5554</orcidid></search><sort><creationdate>20190219</creationdate><title>Model-Based Assessment of the Role of Uneven Partitioning of Molecular Content on Heterogeneity and Regulation of Differentiation in CD8 T-Cell Immune Responses</title><author>Girel, Simon ; Arpin, Christophe ; Marvel, Jacqueline ; Gandrillon, Olivier ; Crauste, Fabien</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c496t-5f505ac890ef849939c50f03738c56620e9747f065214f911990f2adfdb9a9a93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Adaptive immunology</topic><topic>agent-based models</topic><topic>asymmetric division</topic><topic>Cellular Biology</topic><topic>Computer Science</topic><topic>immune memory</topic><topic>immune response</topic><topic>Immunology</topic><topic>Life Sciences</topic><topic>Modeling and Simulation</topic><topic>Multiagent Systems</topic><topic>multiscale modeling</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Girel, Simon</creatorcontrib><creatorcontrib>Arpin, Christophe</creatorcontrib><creatorcontrib>Marvel, Jacqueline</creatorcontrib><creatorcontrib>Gandrillon, Olivier</creatorcontrib><creatorcontrib>Crauste, Fabien</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><collection>PubMed Central (Full Participant titles)</collection><collection>Directory of Open Access Journals</collection><jtitle>Frontiers in immunology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Girel, Simon</au><au>Arpin, Christophe</au><au>Marvel, Jacqueline</au><au>Gandrillon, Olivier</au><au>Crauste, Fabien</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Model-Based Assessment of the Role of Uneven Partitioning of Molecular Content on Heterogeneity and Regulation of Differentiation in CD8 T-Cell Immune Responses</atitle><jtitle>Frontiers in immunology</jtitle><addtitle>Front Immunol</addtitle><date>2019-02-19</date><risdate>2019</risdate><volume>10</volume><spage>230</spage><epage>230</epage><pages>230-230</pages><issn>1664-3224</issn><eissn>1664-3224</eissn><abstract>Activation of naive CD8 T-cells can lead to the generation of multiple effector and memory subsets. 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data at the single cell level, we show that immune response dynamics can be explained by the molecular-content heterogeneity generated by uneven partitioning at cell division. In particular, uneven partitioning acts as a regulator of cell differentiation and induces the emergence of two coexisting sub-populations of cells exhibiting antagonistic fates. We show that the degree of unevenness of molecular partitioning, along all cell divisions, affects the outcome of the immune response and can promote the generation of memory cells.</abstract><cop>Switzerland</cop><pub>Frontiers</pub><pmid>30842771</pmid><doi>10.3389/fimmu.2019.00230</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0001-6241-459X</orcidid><orcidid>https://orcid.org/0000-0002-3676-6513</orcidid><orcidid>https://orcid.org/0000-0002-9979-9638</orcidid><orcidid>https://orcid.org/0000-0003-0915-5554</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adaptive immunology agent-based models asymmetric division Cellular Biology Computer Science immune memory immune response Immunology Life Sciences Modeling and Simulation Multiagent Systems multiscale modeling |
title | Model-Based Assessment of the Role of Uneven Partitioning of Molecular Content on Heterogeneity and Regulation of Differentiation in CD8 T-Cell Immune Responses |
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