Browsing University of Nottingham Research Data Management Service by Author "Alexander, Morgan R"
Now showing items 1-6 of 6
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Developing immune-regulatory materials using immobilized monosaccharides with immune-instructive properties
Alobaid, Meshal (The University of Nottingham, 2020-10-13)Dataset contains raw and processed data used for the creation of figures in publication "Developing immune-regulatory materials using immobilized monosaccharides with immune-instructive properties" -
Immune Modulation by Design: Using Topography to Control Human Monocyte Attachment and Macrophage Differentiation
Alexander, Morgan (The University of Nottingham, 2020-05-05)Material 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 ... -
Immune-instructive polymers
Ghaemmaghami, Amir (The University of Nottingham, 2020-05-01)We identify polymers which instruct different immunological responses by modulating macrophage attachment and polarisation to pro-inflammatory (M1-like) or anti-inflammatory (M2-like) phenotypes. These immune-instructive ... -
In situ protein identification, mapping and depth profiling using 3D OrbiSIMS
Kotowska, Anna M; Scurr, David J (The University of Nottingham, 2020-08-28)Label-free protein characterisation at surfaces requires digestion or matrix application prior to mass spectrometry. We report the assignment of undigested proteins at surfaces using secondary ion mass spectrometry (SIMS). ... -
A linear, binary classifier to predict bacterial biofilm formation on polyacrylates
Williams, Phil (The University of Nottingham, 2022-12-21)Research data and Python code to undertake machine learning to predict bacterial attachment to polyacrylates. -
Sequential 3D OrbiSIMS and LESA-MS/MS-based metabolomics for prediction of brain tumor relapse from sample-limited primary tissue archives
Meurs, Joris (The University of Nottingham, 2021-03-26)Raw and processed data used for the publication entitled "Predicting tumor relapse from serial in situ surface mass spectrometry metabolite profiles of pediatric brain tumor tissue microarrays"