Do microscopy imaging frequency and experiment duration impact the analysis of T cell movement?

dc.contributor.authorZenkov, Viktor
dc.contributor.authorO'Connor, James
dc.contributor.authorMcNamara, Hayley
dc.contributor.authorCockburn, Ian
dc.contributor.authorGanusov, Vitaly
dc.coverage.spatialFlorida, Gainesville
dc.date.accessioned2024-07-16T06:23:52Z
dc.date.available2024-07-16T06:23:52Z
dc.date.createdAugust 1 - 4, 2021
dc.date.issued2021
dc.date.updated2024-01-07T07:15:34Z
dc.description.abstractFor years we have investigated whether vaccine-induced CD8 T cells in the liver hunt Plasmodium sporozoites (malaria) or if the T cells find infected hepatocytes randomly. Using previous T cell position data collected with intravital microscopy, we performed numerous analyses, giving two main conclusions. Firstly, using a new metric for detecting attraction using the Von Mises-Fisher distribution in 3D and statistical analyses, we concluded that cells move randomly until a cluster of cells forms around a parasite; then some cells begin to move with bias. Secondly, using simulations where we control the amount of attraction and otherwise replicated the movement of real cells, we concluded that cells are able to move with enough attraction to find parasites, but not enough to have statistically detectable attraction in experimental data. We have thus constructed methods to test how cells move and moreover determined the strength and the limitations of our metrics. New opportunities arose in the past year as we received new position data, which has some critical differences from the older data. The new data has more frequent imaging of every 12--20 seconds (old data: 90--120 seconds) and shorter experiments of 30 minutes in total length (old data: 120 minutes). The different experiment parameters also affect some properties of the recorded data, including the calculated speeds (whose calculations in the old data we showed to be artificially low due to mathematical properties). We repeated our work using the new data. Repeating the statistical analyses, we found that cells still move randomly until a cluster of cells forms around a parasite, then begin to move with bias. Repeating the simulations, now using parameters replicating the movement of new cells, we found that cells still are able to move with enough attraction to find parasites, but not enough to have statistically detectable attraction using current methodology. In summary, despite differing parameters such as imaging frequencies and experiment durations, we make the same conclusions about T cell movement. This serves as both a biological result and a commentary on the potential effects of differing experimental parameters.
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.isbn9781450384506
dc.identifier.urihttps://hdl.handle.net/1885/733713961
dc.language.isoen_AUen_AU
dc.publisherAssociation for Computing Machinery (ACM)
dc.relation.ispartofseries12th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics
dc.rights© 2021 Copyright is held by the owner/author(s).
dc.sourceBCB '21: Proceedings of the 12th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics
dc.titleDo microscopy imaging frequency and experiment duration impact the analysis of T cell movement?
dc.typeConference paper
local.bibliographicCitation.lastpage1
local.bibliographicCitation.startpage1
local.contributor.affiliationZenkov, Viktor, University of Tennessee
local.contributor.affiliationO'Connor, James, College of Health and Medicine, ANU
local.contributor.affiliationMcNamara, Hayley, College of Health and Medicine, ANU
local.contributor.affiliationCockburn, Ian, College of Health and Medicine, ANU
local.contributor.affiliationGanusov, Vitaly, University of Tennessee
local.contributor.authoruidO'Connor, James, u5700810
local.contributor.authoruidMcNamara, Hayley, u5013216
local.contributor.authoruidCockburn, Ian, u5289297
local.description.embargo2099-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor320404 - Cellular immunology
local.identifier.ariespublicationa383154xPUB24585
local.identifier.doi10.1145/3459930.3469492
local.identifier.thomsonID000722623700006
local.publisher.urlhttps://dl.acm.org/
local.type.statusPublished Version

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