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Gay, D. M. et al. (2019) Loss of BCL9/9l suppresses Wnt driven tumourigenesis in models that recapitulate human cancer. Nature Communications, 10, 723. (doi:10.1038/s41467-019-08586-3) (PMID:30760720) (PMCID:PMC6374445)

Davies, V. , Harvey, W. T., Reeve, R. and Husmeier, D. (2019) Improving the identification of antigenic sites in the H1N1 Influenza virus through accounting for the experimental structure in a sparse hierarchical Bayesian model. Journal of the Royal Statistical Society: Series C (Applied Statistics), (doi:10.1111/rssc.12338) (Early Online Publication)

Peacock, T. P., Harvey, W. T., Sadeyen, J.-R., Reeve, R. and Iqbal, M. (2018) The molecular basis of antigenic variation among A(H9N2) avian influenza viruses. Emerging Microbes and Infections, 7, 176. (doi:10.1038/s41426-018-0178-y) (PMID:30401826) (PMCID:PMC6220119)

Gray, J. I., Westerhof, L. and Macleod, M. K.L. (2018) The roles of resident, central and effector memory CD4 T cells in protective immunity following infection or vaccination. Immunology, 154(4), pp. 574-581. (doi:10.1111/imm.12929) (PMID:29570776) (PMCID:PMC6050220)

Morgan, H. L., Butler, E., Ritchie, S., Herse, F., Dechend, R., Beattie, E., McBride, M. W. and Graham, D. (2018) Modeling superimposed preeclampsia using Ang II (Angiotensin II) infusion in pregnant stroke-prone spontaneously hypertensive rats. Hypertension, 72(1), pp. 208-218. (doi:10.1161/HYPERTENSIONAHA.118.10935) (PMID:29844145) (PMCID:PMC6012051)

Williams, C., Lewsey, J. D. , Briggs, A. H. and Mackay, D. F. (2017) Cost-effectiveness analysis in R using a multi-state modelling survival analysis framework: a tutorial. Medical Decision Making, 37(4), pp. 340-352. (doi:10.1177/0272989X16651869) (PMID:27281337) (PMCID:PMC5424858)

Williams, C., Lewsey, J. D. , Mackay, D. F. and Briggs, A. H. (2017) Estimation of survival probabilities for use in cost-effectiveness analysis: a comparison of a multi-state modelling survival analysis approach with partitioned survival and Markov decision-analytic modelling. Medical Decision Making, 37(4), pp. 427-439. (doi:10.1177/0272989X16670617) (PMID:27698003) (PMCID:PMC5424853)

Harvey, W. T., Benton, D. J., Gregory, V., Hall, J. P.J., Daniels, R. S., Bedford, T., Haydon, D. T. , Hay, A. J., McCauley, J. W. and Reeve, R. (2016) Identification of low- and high-impact hemagglutinin amino acid substitutions that drive antigenic drift of influenza A(H1N1) viruses. PLoS Pathogens, 12(4), e1005526. (doi:10.1371/journal.ppat.1005526) (PMID:27057693) (PMCID:PMC4825936)

Connolly, J. P.R. and Roe, A. J. (2016) When and where? Pathogenic Escherichia coli differentially sense host D-serine using a universal transporter system to monitor their environment. Microbial Cell, 3(4), pp. 181-184. (doi:10.15698/mic2016.04.494) (PMID:28357351) (PMCID:PMC5349093)

Small, H. Y., Morgan, H., Beattie, E., Griffin, S., Indahl, M., Delles, C. and Graham, D. (2016) Abnormal uterine artery remodelling in the stroke prone spontaneously hypertensive rat. Placenta, 37, pp. 34-44. (doi:10.1016/j.placenta.2015.10.022) (PMID:26612342) (PMCID:PMC4721537)

Connolly, J. P. R., Gabrielsen, M., Goldstone, R. J., Grinter, R., Wang, D., Cogdell, R. J. , Walker, D. , Smith, D. G. E. and Roe, A. J. (2016) A highly conserved bacterial d-serine uptake system links host metabolism and virulence. PLoS Pathogens, 12(1), e1005359. (doi:10.1371/journal.ppat.1005359) (PMID:26727373) (PMCID:PMC4699771)

Connolly, J. P.R., Goldstone, R. J., Burgess, K., Cogdell, R. J. , Beatson, S. A., Vollmer, W., Smith, D. G.E. and Roe, A. (2015) The host metabolite D-serine contributes to bacterial niche specificity through gene selection. ISME Journal, 9, pp. 1039-1051. (doi:10.1038/ismej.2014.242) (PMID:25526369) (PMCID:PMC4366372)

This list was generated on Tue Mar 26 08:50:31 2019 GMT.