Research output per year
Research output per year
Personal profile
Overview
Reader in Synthetic Biology and Quantitative Genomics, Division of Evolution and Genomic Sciences, Faculty of Biology, Medicine and Health at Manchester University. Principle Investigator at the Manchester Institute of Biotechnology. Philip is also Business Engagement Lead for the Division of Evolution and Genomic Sciences, Postgraduate Research Tutor and Biomed Sciences Academic Tutor and Academic Advisor.
Research interests
Philip Day is Reader in Quantitative Analytical Genomics at Manchester University, Director of the Quantitative Molecular Medicine Group and Principle Investigator at the Manchester Institute of Biotechnology, and a member of the Centre for Epidemiology and CIGMR, at the Medical Faculty. He currently is developing synthetic biology and chemical biology approaches to directed evolution of novel proteins and aptamers for biomedical applications. These are used in combination with expertise for building integrated pathogenesis models of CML. Other closely related studies concern the enhanced uptake of anti-cancer drugs through membrane associated transporters, and Philip maintains an academic interest in the biological significance of heterogeneity.
Methodological knowledge
qPCR
molecular biology
Assay development
sample preparation and handling
Single cell analysis, homogeneous sample handling
Aptamer development
Systems biology/medicine
Chemical biology
Synthetic biology
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
External positions
Thought, Leadership & Innovation Fellow, TLI Foundation, VA, USA
1 Jun 2022 → …
Honorary Professor, University of Cape Town
1 Jan 2021 → …
Honorary Professor, UC Berkeley
1 Apr 2019 → …
Visiting Professor, UCI, Biomedical Engineering
2013 → 2017
Areas of expertise
- QD Chemistry
- RZ Other systems of medicine
- TP Chemical technology
Research Beacons, Institutes and Platforms
- Advanced materials
- Cancer
- Biotechnology
- Digital Futures
- Dementia@Manchester
- Manchester Precision Medicine Institute
- Christabel Pankhurst Institute
- Manchester Institute of Biotechnology
Fingerprint
Dive into the research topics where Philip Day is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
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Directed evolution of an efficient and thermostable PET depolymerase
Bell, E. L., Smithson, R., Kilbride, S., Foster, J., Hardy, F. J., Ramachandran, S., Tedstone, A. A., Haigh, S. J., Garforth, A. A., Day, P. J. R., Levy, C., Shaver, M. P. & Green, A. P., 11 Aug 2022, In: Nature Catalysis.Research output: Contribution to journal › Article › peer-review
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Viral Involvement in Alzheimer’s Disease
Sait, A., Angeli, C., Doig, A. J. & Day, P. J. R., 9 Mar 2021, In: ACS Chemical Neuroscience.Research output: Contribution to journal › Article › peer-review
Open Access -
MicroRNA and mRNA profiling in the idiopathic inflammatory myopathies
Parkes, J., Thoma, A., Lightfoot, A. P., Day, P., Chinoy, H. & Lamb, J., 19 Mar 2020, (Accepted/In press) In: BMC Rheumatology.Research output: Contribution to journal › Article › peer-review
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Ultrasensitive and rapid detection of malaria using graphene-enhanced surface plasmon resonance
Wu, F., Singh, J., Thomas, P. A., Ge, Q., Kravets, V. G., Day, P. J. & Grigorenko, A. N., 1 Oct 2020, In: 2D Materials. 7, 4Research output: Contribution to journal › Article › peer-review
Open Access -
A brain-permeable inhibitor of the neurodegenerative disease target kynurenine 3-monooxygenase prevents accumulation of neurotoxic metabolites
Zhang, S., Sakuma, M., Deora, G. S., Levy, C., Klausing, A., Breda, C., Read, K. D., Ross, B. P., Wright Muelas, M., Day, P., O'Hagan, S., Kell, D., Schwarcz, R., Leys, D., Heyes, D., Giorgini, F. & Scrutton, N., 2019, In: Communications Biology.Research output: Contribution to journal › Article › peer-review
Open Access
Datasets
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Systematic protein-protein interaction and pathway analyses in the idiopathic inflammatory myopathies
Parkes, J. (Contributor), Rothwell, S. (Contributor), Day, P. (Contributor), McHugh, N. J. (Contributor), Betteridge, Z. E. (Contributor), Cooper, R. G. (Contributor), Ollier, W. (Contributor), Chinoy, H. (Contributor) & Lamb, J. (Contributor), figshare , 7 Jul 2016
DOI: 10.6084/m9.figshare.c.3609506.v1, https://figshare.com/collections/Systematic_protein-protein_interaction_and_pathway_analyses_in_the_idiopathic_inflammatory_myopathies/3609506/1
Dataset
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Supplementary material from "Computing exponentially faster: implementing a non-deterministic universal Turing machine using DNA"
Currin, A. (Contributor), Korovin, K. (Contributor), Ababi, M. (Contributor), Roper, K. (Contributor), Kell, D. (Contributor), Day, P. (Contributor) & King, R. (Contributor), figshare , 15 Feb 2017
DOI: 10.6084/m9.figshare.c.3691882.v1, https://figshare.com/collections/Supplementary_material_from_Computing_exponentially_faster_implementing_a_non-deterministic_universal_Turing_machine_using_DNA_/3691882/1
Dataset