Cyhoeddiadau
2022
2021
2019
2018
2016
2015
- Khalid, U., Jenkins, R. H., Simpson, K., Ablorsu, E., Bowen, T., Fraser, D. J. and Chavez, R. 2015. Urinary microrna expression predicts delayed graft function in kidney transplantation [Abstract]. Transplant International 28(S4), pp. 367-367. (10.1111/tri.12702)
- Simpson, K., Jones, R. E., Grimstead, J. W., Hills, R. K., Pepper, C. J. and Baird, D. M. 2015. Telomere fusion threshold identifies a poor prognostic subset of breast cancer patients. Molecular Oncology 9(6), pp. 1186-1193. (10.1016/j.molonc.2015.02.003)
2013
Articles
- Zeni, L. et al. 2022. Exploration of a panel of urine biomarkers of kidney disease in two paediatric cohorts with Type 1 diabetes mellitus of differing duration. Diabetology and Metabolic Syndrome 14(1), article number: 71. (10.1186/s13098-022-00839-4)
- Smith, D. A. et al. 2021. Detection of urinary microRNA biomarkers using diazo sulfonamide-modified screen printed carbon electrodes. RSC Advances 11(31), pp. 18832-18839. (10.1039/D0RA09874D)
- Khalid, U. et al. 2019. A urinary microRNA panel that is an early predictive biomarker of delayed graft function following kidney transplant. Scientific Reports 9, article number: 3584. (10.1038/s41598-019-38642-3)
- Beltrami, C. et al. 2018. Association of elevated urinary miR-126, miR-155, and miR-29b with diabetic kidney disease. American Journal of Pathology 188(9), pp. 1982-1992. (10.1016/j.ajpath.2018.06.006)
- Simpson, K., Wonnacott, A., Fraser, D. J. and Bowen, T. 2016. MicroRNAs in diabetic nephropathy: from biomarkers to therapy. Current Diabetes Reports 16(3), article number: 35. (10.1007/s11892-016-0724-8)
- Khalid, U., Jenkins, R. H., Simpson, K., Ablorsu, E., Bowen, T., Fraser, D. J. and Chavez, R. 2015. Urinary microrna expression predicts delayed graft function in kidney transplantation [Abstract]. Transplant International 28(S4), pp. 367-367. (10.1111/tri.12702)
- Simpson, K., Jones, R. E., Grimstead, J. W., Hills, R. K., Pepper, C. J. and Baird, D. M. 2015. Telomere fusion threshold identifies a poor prognostic subset of breast cancer patients. Molecular Oncology 9(6), pp. 1186-1193. (10.1016/j.molonc.2015.02.003)
Thesis
Supervision
Past projects
