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dc.contributor.authorAlexander, Morgan
dc.contributor.otherVassey, Matthew
dc.contributor.otherFigueredo, Grazziela
dc.contributor.otherScurr, David
dc.contributor.otherAlexander, Morgan R
dc.contributor.otherWilliams, Paul
dc.contributor.otherLuckett, Jeni C
dc.contributor.otherGhaemmaghami, Amir
dc.contributor.otherWinkler, David A
dc.contributor.otherde Boer, Jan
dc.contributor.otherBeijer, Nick R. M.
dc.contributor.otherVasilevich, Aliaksei S.
dc.contributor.otherVermeulen, Steven
dc.contributor.otherCarlier, Aurelie
dc.date.accessioned2020-05-05T08:10:27Z
dc.date.available2020-05-05T08:10:27Z
dc.date.issued2020-05-05
dc.identifier.urihttps://rdmc.nottingham.ac.uk/handle/internal/8310
dc.description.abstractMaterial topography is known to influence macrophage attachment and phenotype, providing opportunities for the rational design of ‘immune-instructive’ topographies to modulate macrophage function and thus foreign body responses to biomaterials. However, no generalisable understanding of the inter-relationship between topography and cell response exists. We therefore utilise a high throughput screening approach to investigate the relationship between topography and human monocyte-derived macrophage attachment and phenotype, using a diverse library of 2176 micropatterns generated by an algorithm. We use machine learning to successfully build a model that correlates cell attachment and phenotype with a selection of descriptors, illustrating that materials can potentially be designed to induce pro-inflammatory, anti-inflammatory or regulatory immune responses, for future application in the fight against foreign body rejection of medical devices.en_UK
dc.language.isoenen_UK
dc.publisherThe University of Nottinghamen_UK
dc.rightsCC-BY*
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/*
dc.subject.lcshMacrophagesen_UK
dc.subject.lcshImmune response -- regulationen_UK
dc.subject.lcshBiomedical materialsen_UK
dc.subject.meshBiocompatible Materialsen_UK
dc.subject.meshImmunomodulationen_UK
dc.subject.meshImmunologic Factorsen_UK
dc.subject.meshMacrophagesen_UK
dc.titleImmune Modulation by Design: Using Topography to Control Human Monocyte Attachment and Macrophage Differentiationen_UK
dc.identifier.doihttp://doi.org/10.17639/nott.7050
dc.subject.freebiomaterials, high-throughput screening, immune-modulation, topographyen_UK
dc.subject.jacsBiological Sciencesen_UK
dc.subject.lcQ Science::QR Microbiologyen_UK
dc.date.collection2018-2019en_UK
uon.divisionUniversity of Nottingham, UK Campus::Faculty of Science::School of Pharmacyen_UK
uon.funder.controlledEngineering & Physical Sciences Research Councilen_UK
uon.datatypeExcel spreadsheets, GraphPad prism files, jpeg images, Notepad (readme) filesen_UK
uon.grantEP/N006615/1en_UK
uon.collectionmethodMicroscopy, XPS, Tof-SIMS, ELISA, immunofluorescent stainingen_UK
uon.institutes-centresUniversity of Nottingham, UK Campusen_UK
uon.preservation.rarelyaccessedtrue
dc.relation.doi10.1002/advs.201903392en_UK


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Except where otherwise noted, this item's license is described as Creative Commons by Attribution