Show simple item record

dc.contributor.authorAmitai, Assaf
dc.contributor.authorKardar, Mehran
dc.date.accessioned2019-02-19T18:24:50Z
dc.date.available2019-02-19T18:24:50Z
dc.date.issued2018-08
dc.identifier.issn1553-7358
dc.identifier.issn1553-734X
dc.identifier.urihttp://hdl.handle.net/1721.1/120486
dc.description.abstractThe spikes on virus surfaces bind receptors on host cells to propagate infection. High spike densities (SDs) can promote infection, but spikes are also targets of antibody-mediated immune responses. Thus, diverse evolutionary pressures can influence virus SDs. HIV's SD is about two orders of magnitude lower than that of other viruses, a surprising feature of unknown origin. By modeling antibody evolution through affinity maturation, we find that an intermediate SD maximizes the affinity of generated antibodies. We argue that this leads most viruses to evolve high SDs. T helper cells, which are depleted during early HIV infection, play a key role in antibody evolution. We find that T helper cell depletion results in high affinity antibodies when SD is high, but not if SD is low. This special feature of HIV infection may have led to the evolution of a low SD to avoid potent immune responses early in infection.en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (Grant DMR1708280)en_US
dc.description.sponsorshipRagon Institute of MGH, MIT and Harvarden_US
dc.publisherPublic Library of Scienceen_US
dc.relation.isversionofhttp://dx.doi.org/10.1371/journal.pcbi.1006408en_US
dc.rightsCreative Commons Attribution 4.0 International licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourcePLoSen_US
dc.titleThe low spike density of HIV may have evolved because of the effects of T helper cell depletion on affinity maturationen_US
dc.typeArticleen_US
dc.identifier.citationAmitai, Assaf, Arup K. Chakraborty, and Mehran Kardar. “The Low Spike Density of HIV May Have Evolved Because of the Effects of T Helper Cell Depletion on Affinity Maturation.” Edited by Claus O. Wilke. PLOS Computational Biology 14, no. 8 (August 30, 2018): e1006408.en_US
dc.contributor.departmentInstitute for Medical Engineering and Scienceen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Chemical Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Physicsen_US
dc.contributor.departmentRagon Institute of MGH, MIT and Harvarden_US
dc.contributor.mitauthorAmitai, Assaf
dc.contributor.mitauthorKardar, Mehran
dc.relation.journalPLOS Computational Biologyen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2019-02-19T13:56:28Z
dspace.orderedauthorsAmitai, Assaf; Chakraborty, Arup K.; Kardar, Mehranen_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0002-8594-6529
dc.identifier.orcidhttps://orcid.org/0000-0002-1112-5912
mit.licensePUBLISHER_CCen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record