Journal article Open Access
Castiglione, Filippo; Ghersi, Dario; Celada, Franco
<?xml version='1.0' encoding='utf-8'?> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:adms="http://www.w3.org/ns/adms#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dct="http://purl.org/dc/terms/" xmlns:dctype="http://purl.org/dc/dcmitype/" xmlns:dcat="http://www.w3.org/ns/dcat#" xmlns:duv="http://www.w3.org/ns/duv#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:frapo="http://purl.org/cerif/frapo/" xmlns:geo="http://www.w3.org/2003/01/geo/wgs84_pos#" xmlns:gsp="http://www.opengis.net/ont/geosparql#" xmlns:locn="http://www.w3.org/ns/locn#" xmlns:org="http://www.w3.org/ns/org#" xmlns:owl="http://www.w3.org/2002/07/owl#" xmlns:prov="http://www.w3.org/ns/prov#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" xmlns:schema="http://schema.org/" xmlns:skos="http://www.w3.org/2004/02/skos/core#" xmlns:vcard="http://www.w3.org/2006/vcard/ns#" xmlns:wdrs="http://www.w3.org/2007/05/powder-s#"> <rdf:Description rdf:about="https://zenodo.org/record/3351968"> <dct:identifier rdf:datatype="http://www.w3.org/2001/XMLSchema#anyURI">https://zenodo.org/record/3351968</dct:identifier> <foaf:page rdf:resource="https://zenodo.org/record/3351968"/> <dct:creator> <rdf:Description> <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/> <foaf:name>Castiglione, Filippo</foaf:name> <foaf:givenName>Filippo</foaf:givenName> <foaf:familyName>Castiglione</foaf:familyName> <org:memberOf> <foaf:Organization> <foaf:name>National Research Council of Italy</foaf:name> </foaf:Organization> </org:memberOf> </rdf:Description> </dct:creator> <dct:creator> <rdf:Description> <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/> <foaf:name>Ghersi, Dario</foaf:name> <foaf:givenName>Dario</foaf:givenName> <foaf:familyName>Ghersi</foaf:familyName> <org:memberOf> <foaf:Organization> <foaf:name>College of Information Science and Technology, University of Nebraska</foaf:name> </foaf:Organization> </org:memberOf> </rdf:Description> </dct:creator> <dct:creator> <rdf:Description> <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/> <foaf:name>Celada, Franco</foaf:name> <foaf:givenName>Franco</foaf:givenName> <foaf:familyName>Celada</foaf:familyName> <org:memberOf> <foaf:Organization> <foaf:name>NYU School of Medicine, New York</foaf:name> </foaf:Organization> </org:memberOf> </rdf:Description> </dct:creator> <dct:title>Computer Modeling of Clonal Dominance: Memory-Anti-Naïve and Its Curbing by Attrition</dct:title> <dct:publisher> <foaf:Agent> <foaf:name>Zenodo</foaf:name> </foaf:Agent> </dct:publisher> <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">2019</dct:issued> <dcat:keyword>computer modeling</dcat:keyword> <dcat:keyword>IMMSIM</dcat:keyword> <dcat:keyword>memory-anti-naive</dcat:keyword> <dcat:keyword>attrition</dcat:keyword> <dcat:keyword>CD8+ response</dcat:keyword> <frapo:isFundedBy rdf:resource="info:eu-repo/grantAgreement/EC/H2020/826121/"/> <schema:funder> <foaf:Organization> <dct:identifier rdf:datatype="http://www.w3.org/2001/XMLSchema#string">10.13039/100010661</dct:identifier> <foaf:name>European Commission</foaf:name> </foaf:Organization> </schema:funder> <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2019-07-26</dct:issued> <dct:language rdf:resource="http://publications.europa.eu/resource/authority/language/ENG"/> <owl:sameAs rdf:resource="https://zenodo.org/record/3351968"/> <adms:identifier> <adms:Identifier> <skos:notation rdf:datatype="http://www.w3.org/2001/XMLSchema#anyURI">https://zenodo.org/record/3351968</skos:notation> <adms:schemeAgency>url</adms:schemeAgency> </adms:Identifier> </adms:identifier> <owl:sameAs rdf:resource="https://doi.org/10.3389/fimmu.2019.01513"/> <dct:isPartOf rdf:resource="https://zenodo.org/communities/ipc"/> <dct:description><p>Experimental and computational studies have revealed that T-cell cross-reactivity is a&nbsp;widespread phenomenon that can either be advantageous or detrimental to the host.&nbsp;In particular, detrimental effects can occur whenever the clonal dominance of memory&nbsp;cells is not justified by their infection-clearing capacity. Using an agent-based model&nbsp;of the immune system, we recently predicted the &ldquo;memory anti-na&iuml;ve&rdquo; phenomenon,&nbsp;which occurs when the secondary challenge is similar but not identical to the primary&nbsp;stimulation. In this case, the pre-existingmemory cells formed during the primary infection&nbsp;may be rapidly deployed in spite of their low affinity and can actually prevent a potentially&nbsp;higher affinity na&iuml;ve response from emerging, resulting in impaired viral clearance. This&nbsp;finding allowed us to propose a mechanistic explanation for the concept of &ldquo;antigenic&nbsp;sin&rdquo; originally described in the context of the humoral response. However, the fact&nbsp;that antigenic sin is a relatively rare occurrence suggests the existence of evolutionary&nbsp;mechanisms that can mitigate the effect of the memory anti-na&iuml;ve phenomenon. In&nbsp;this study we use computer modeling to further elucidate clonal dominance and the&nbsp;memory anti-na&iuml;ve phenomenon, and to investigate a possible mitigating factor called&nbsp;attrition. Attrition has been described in the experimental and computational literature&nbsp;as a combination of competition for space and apoptosis of lymphocytes via type-I&nbsp;interferon in the early stages of a viral infection. This study systematically explores&nbsp;the relationship between clonal dominance and the mechanism of attrition. Our results&nbsp;suggest that attrition can indeed mitigate the memory anti-na&iuml;ve effect by enabling the&nbsp;emergence of a diverse, higher affinity na&iuml;ve response against the secondary challenge.<br> In conclusion, modeling attrition allows us to shed light on the nature of clonal interaction&nbsp;and dominance.&nbsp;</p></dct:description> <dct:accessRights rdf:resource="http://publications.europa.eu/resource/authority/access-right/PUBLIC"/> <dct:accessRights> <dct:RightsStatement rdf:about="info:eu-repo/semantics/openAccess"> <rdfs:label>Open Access</rdfs:label> </dct:RightsStatement> </dct:accessRights> <dct:license rdf:resource="https://creativecommons.org/licenses/by/4.0/legalcode"/> <dcat:distribution> <dcat:Distribution> <dcat:accessURL rdf:resource="https://doi.org/10.3389/fimmu.2019.01513"/> <dcat:byteSize>2297218</dcat:byteSize> <dcat:downloadURL rdf:resource="https://zenodo.org/record/3351968/files/fimmu-10-01513.pdf"/> <dcat:mediaType>application/pdf</dcat:mediaType> </dcat:Distribution> </dcat:distribution> </rdf:Description> <foaf:Project rdf:about="info:eu-repo/grantAgreement/EC/H2020/826121/"> <dct:identifier rdf:datatype="http://www.w3.org/2001/XMLSchema#string">826121</dct:identifier> <dct:title>individualizedPaediatricCure: Cloud-based virtual-patient models for precision paediatric oncology</dct:title> <frapo:isAwardedBy> <foaf:Organization> <dct:identifier rdf:datatype="http://www.w3.org/2001/XMLSchema#string">10.13039/100010661</dct:identifier> <foaf:name>European Commission</foaf:name> </foaf:Organization> </frapo:isAwardedBy> </foaf:Project> </rdf:RDF>
Views | 145 |
Downloads | 85 |
Data volume | 195.3 MB |
Unique views | 137 |
Unique downloads | 80 |