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
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
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):
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SDG 3 Good Health and Well-being -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 10 Reduced Inequalities
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Collaborations and top research areas from the last five years
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Enhancement of gemcitabine toxicity and specificity through PI3K/Akt/Nrf2 pathway inhibition in pancreatic cancerProvisionally accepted
Chen, Y.-S., O'Hagan, S. & Day, P., 5 Jan 2026, (Accepted/In press) In: Frontiers in Pharmacology.Research output: Contribution to journal › Article › peer-review
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Tunable Release of Ions from Graphene Oxide Laminates for Sustained Antibacterial Activity in a Biomimetic Environment (Small 28/2025)
Suran, S., Kamyar, N., Huang, K., Foroutan, F., Balakrishna Pillai, P., Liu, X., Vaughan, J., Wilson, D., Day, P. J. & Nair, R. R., 1 Jul 2025, In: Small. 21, 28Research output: Contribution to journal › Article › peer-review
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Interconnections between the gut microbiome and Alzheimer’s disease: 2 mechanisms and therapeutic potential
Sait, A. & Day, P., 7 Aug 2024, In: International Journal of Molecular Sciences. 25, 16, 8619.Research output: Contribution to journal › Article › peer-review
Open Access -
Tunable release of ions from graphene oxide laminates for sustained antibacterial activity in a biomimetic environment
Suran, S., Kamyar, N., Huang, K., Foroutan, F., Balakrishna Pillai, P., Liu, X., Vaughan, J., Wilson, D., Day, P. & Nair, R. R., 30 Apr 2024, In: Small.Research output: Contribution to journal › Article › peer-review
Open Access -
Brain Tissue Lipidomics of Primary Progressive Multiple Sclerosis, Phenotypically Normal White Matter, and Controls
Cheung, W., Chen, Y.-S., Day, P. & Rehman, S., 18 Oct 2023.Research output: Contribution to conference › Abstract › peer-review
Datasets
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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
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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