Clustering of Activated CD8 T Cells Around Malaria-Infected Hepatocytes Is Rapid and Is Driven by Antigen-Specific Cells
| dc.contributor.author | Kelemen, Reka K | |
| dc.contributor.author | Rajakaruna, Harshana | |
| dc.contributor.author | Cockburn, Ian | |
| dc.contributor.author | Ganusov, Vitaly | |
| dc.date.accessioned | 2023-01-11T22:05:15Z | |
| dc.date.available | 2023-01-11T22:05:15Z | |
| dc.date.issued | 2019 | |
| dc.date.updated | 2021-11-28T07:34:48Z | |
| dc.description.abstract | Malaria, a disease caused by parasites of the Plasmodium genus, begins when Plasmodium-infected mosquitoes inject malaria sporozoites while searching for blood. Sporozoites migrate from the skin via blood to the liver, infect hepatocytes, and form liver stages which in mice 48 h later escape into blood and cause clinical malaria. Vaccine-induced activated or memory CD8 T cells are capable of locating and eliminating all liver stages in 48 h, thus preventing the blood-stage disease. However, the rules of how CD8 T cells are able to locate all liver stages within a relatively short time period remains poorly understood. We recently reported formation of clusters consisting of variable numbers of activated CD8 T cells around Plasmodium yoelii (Py)-infected hepatocytes. Using a combination of experimental data and mathematical models we now provide additional insights into mechanisms of formation of these clusters. First, we show that a model in which cluster formation is driven exclusively by T-cell-extrinsic factors, such as variability in “attractiveness” of different liver stages, cannot explain distribution of cluster sizes in different experimental conditions. In contrast, the model in which cluster formation is driven by the positive feedback loop (i.e., larger clusters attract more CD8 T cells) can accurately explain the available data. Second, while both Py-specific CD8 T cells and T cells of irrelevant specificity (non-specific CD8 T cells) are attracted to the clusters, we found no evidence that non-specific CD8 T cells play a role in cluster formation. Third and finally, mathematical modeling suggested that formation of clusters occurs rapidly, within few hours after adoptive transfer of CD8 T cells, thus illustrating high efficiency of CD8 T cells in locating their targets in complex peripheral organs, such as the liver. Taken together, our analysis provides novel insights into and attempts to discriminate between alternative mechanisms driving the formation of clusters of antigen-specific CD8 T cells in the liver. | en_AU |
| dc.description.sponsorship | This work was supported by the NIH grant (R01 GM118553) to VG. This manuscript has been released as a preprint at BioRxiv (66). | en_AU |
| dc.format.mimetype | application/pdf | en_AU |
| dc.identifier.issn | 1664-3224 | en_AU |
| dc.identifier.uri | http://hdl.handle.net/1885/282682 | |
| dc.language.iso | en_AU | en_AU |
| dc.provenance | 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. | en_AU |
| dc.publisher | Frontiers Research Foundation | en_AU |
| dc.rights | Copyright © 2019 Kelemen, Rajakaruna, Cockburn and Ganusov. | en_AU |
| dc.rights.license | Creative Commons Attribution License (CC BY) | en_AU |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_AU |
| dc.source | Frontiers in Immunology | en_AU |
| dc.subject | CD8 T cell | en_AU |
| dc.subject | Plasmodium | en_AU |
| dc.subject | liver immunity | en_AU |
| dc.subject | mathematical modeling | en_AU |
| dc.subject | protection | en_AU |
| dc.subject | vaccine | en_AU |
| dc.title | Clustering of Activated CD8 T Cells Around Malaria-Infected Hepatocytes Is Rapid and Is Driven by Antigen-Specific Cells | en_AU |
| dc.type | Journal article | en_AU |
| dcterms.accessRights | Open Access | en_AU |
| local.bibliographicCitation.lastpage | 19 | en_AU |
| local.bibliographicCitation.startpage | 1 | en_AU |
| local.contributor.affiliation | Kelemen, Reka K, University of Tennessee | en_AU |
| local.contributor.affiliation | Rajakaruna, Harshana, University of Tennessee | en_AU |
| local.contributor.affiliation | Cockburn, Ian, College of Health and Medicine, ANU | en_AU |
| local.contributor.affiliation | Ganusov, Vitaly, University of Tennessee | en_AU |
| local.contributor.authoruid | Cockburn, Ian, u5289297 | en_AU |
| local.description.notes | Imported from ARIES | en_AU |
| local.identifier.absfor | 320404 - Cellular immunology | en_AU |
| local.identifier.absfor | 310702 - Infectious agents | en_AU |
| local.identifier.absseo | 280102 - Expanding knowledge in the biological sciences | en_AU |
| local.identifier.absseo | 280103 - Expanding knowledge in the biomedical and clinical sciences | en_AU |
| local.identifier.ariespublication | u5786633xPUB1084 | en_AU |
| local.identifier.citationvolume | 10 | en_AU |
| local.identifier.doi | 10.3389/fimmu.2019.02153 | en_AU |
| local.identifier.scopusID | 2-s2.0-85072973536 | |
| local.publisher.url | https://www.frontiersin.org/ | en_AU |
| local.type.status | Published Version | en_AU |
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