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dc.contributor.authorMulvey, Claire M
dc.contributor.authorBreckels, Lisa M
dc.contributor.authorCrook, Oliver M
dc.contributor.authorSanders, David J
dc.contributor.authorRibeiro, Andre L R
dc.contributor.authorGeladaki, Aikaterini
dc.contributor.authorChristoforou, Andy
dc.contributor.authorBritovšek, Nina Kočevar
dc.contributor.authorHurrell, Tracey
dc.contributor.authorDeery, Michael J
dc.contributor.authorGatto, Laurent
dc.contributor.authorSmith, Andrew M
dc.contributor.authorLilley, Kathryn S
dc.date.accessioned2021-11-03T01:40:35Z
dc.date.available2021-11-03T01:40:35Z
dc.date.issued2021-10-01
dc.identifier.issn2041-1723
dc.identifier.otherPMC8486773
dc.identifier.other34599159
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/330216
dc.description.abstractProtein localisation and translocation between intracellular compartments underlie almost all physiological processes. The hyperLOPIT proteomics platform combines mass spectrometry with state-of-the-art machine learning to map the subcellular location of thousands of proteins simultaneously. We combine global proteome analysis with hyperLOPIT in a fully Bayesian framework to elucidate spatiotemporal proteomic changes during a lipopolysaccharide (LPS)-induced inflammatory response. We report a highly dynamic proteome in terms of both protein abundance and subcellular localisation, with alterations in the interferon response, endo-lysosomal system, plasma membrane reorganisation and cell migration. Proteins not previously associated with an LPS response were found to relocalise upon stimulation, the functional consequences of which are still unclear. By quantifying proteome-wide uncertainty through Bayesian modelling, a necessary role for protein relocalisation and the importance of taking a holistic overview of the LPS-driven immune response has been revealed. The data are showcased as an interactive application freely available for the scientific community.
dc.languageeng
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceessn: 2041-1723
dc.sourcenlmid: 101528555
dc.titleSpatiotemporal proteomic profiling of the pro-inflammatory response to lipopolysaccharide in the THP-1 human leukaemia cell line.
dc.typeArticle
dc.date.updated2021-11-03T01:40:33Z
prism.issueIdentifier1
prism.publicationNameNature communications
prism.volume12
dc.identifier.doi10.17863/CAM.77658
rioxxterms.versionofrecord10.1038/s41467-021-26000-9
rioxxterms.versionVoR
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by/4.0/
dc.contributor.orcidMulvey, Claire M [0000-0002-2989-2052]
dc.contributor.orcidBreckels, Lisa M [0000-0001-8918-7171]
dc.contributor.orcidCrook, Oliver M [0000-0001-5669-8506]
dc.contributor.orcidSanders, David J [0000-0001-8501-146X]
dc.contributor.orcidGeladaki, Aikaterini [0000-0002-0530-4252]
dc.contributor.orcidBritovšek, Nina Kočevar [0000-0002-0985-2707]
dc.contributor.orcidGatto, Laurent [0000-0002-1520-2268]
dc.contributor.orcidSmith, Andrew M [0000-0002-4691-5973]
dc.contributor.orcidLilley, Kathryn S [0000-0003-0594-6543]
pubs.funder-project-idWellcome Trust (108467/Z/15/Z, 110071/Z/15/Z, 099135/Z/12/Z)


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Attribution 4.0 International
Except where otherwise noted, this item's licence is described as Attribution 4.0 International