The Research Data Repository, Exam Papers Collections (UK, China and Malaysia Campuses), and uNow Collection will be unavailable for a period on the afternoon of 3/12/2020 starting from 12pm. Researcher working on data deposits at this time are advised to save their progress and avoid starting any large file uploads.
Now showing items 1-6 of 6
Vaccine NMA data & syntax
(The University of Nottingham, 2020-01-17)
Psychological and behavioural factors influence the effectiveness of vaccines. This has led to interest in the potential for non-pharmacological treatments, which modify these factors, to enhance vaccine effectiveness. We ...
(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 ...
Immune Modulation by Design: Using Topography to Control Human Monocyte Attachment and Macrophage Differentiation
(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 ...
Fungal biofilm formation on potential anti-attachment materials
(The University of Nottingham, 2020-06-02)
(Meth)acrylate polymers showing the lowest fungal attachment (from a preceding microarray-spot screen) were assayed by scale-up to coat the 6.4-mm diameter wells of 96-well plates. Polymers showing surface cracking were ...
Validating a predictive structure–property relationship by discovery of novel polymers which reduce bacterial biofilm formation
(The University of Nottingham, 2020-06-26)
Dataset contains raw and processed data used for the creation of figures in publication entitled 'Validating a Predictive Structure – Property Relationship by Discovery of Novel Polymers which Reduce Bacterial Biofilm Formation'
Single cell tracking on polymer microarray reveals the impact of surface chemistry on Pseudomonas aeruginosa twitching speed and biofilm development
(The University of Nottingham, 2020-09-01)
Dataset contains raw and processed data used for the creation of figures in publication entitled 'Single cell tracking on polymer microarray reveals the impact of surface chemistry on Pseudomonas aeruginosa twitching speed ...