Research output per year
Research output per year
Personal profile
Overview
Working under the supervision of Professor Alan Dickson, Dr Jean-Marc Schwartz and Professor Magnus Rattray as a Postdoctoral researcher. Using constraint-based, metabolic modelling for the optimisation of the Chinese Hamster Ovary (CHO) cell system, which is used for the production of monoclonal antibodies and recombinant proteins. Funded by the FUJIFILM Diosynth Biotechnologies (FDB) Prosperity Partnership collaboration, with the University of Manchester, University of Edinburgh and the University of York.
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):
Education/Academic qualification
Doctor of Philosophy, Constraint-based modelling to identify actionable targets within epithelial ovarian cancer, The University of Manchester
1 Oct 2020 → 31 Mar 2024
Award Date: 4 Jul 2024
Bachelor of Science, Medical Biochemistry, University of Birmingham
Sept 2016 → Jul 2019
Award Date: 11 Jul 2019
Master of Research, Biomedical Science and Translational Medicine, University of Liverpool
Sept 2019 → Sept 2020
Areas of expertise
- QH301 Biology
Fingerprint
Dive into the research topics where Kate Meeson 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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Constraint-based modelling predicts metabolic signatures of low and high-grade serous ovarian cancer
Meeson, K. E. & Schwartz, J.-M., 24 Aug 2024, In: npj Systems Biology and Applications.Research output: Contribution to journal › Article › peer-review
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Constraint-based modeling predicts metabolic signatures of low- and high-grade serous ovarian cancer
Meeson, K. E. & Schwartz, J.-M., 12 Mar 2023, bioRxiv, (bioRxiv).Research output: Preprint/Working paper › Preprint
Open Access
Activities
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Metabolic Pathway Analysis
Meeson, K. (Participant)
24 Jul 2023 → 27 Jul 2023Activity: Participating in or organising event(s) › Participating in a conference, workshop, exhibition, performance, inquiry, course etc › Research
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Constraint-based Modelling Predicts Metabolic Signatures of Low- and High-grade Serous Ovarian Cancer
Meeson, K. (Speaker)
24 Jul 2023Activity: Talk or presentation › Oral presentation › Research
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Multi-omics analysis of ovarian cancer
Meeson, K. (Speaker)
20 Sept 2022Activity: Talk or presentation › Oral presentation › Research
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International Study Group for Systems Biology 2022
Meeson, K. (Participant)
19 Sept 2022 → 23 Sept 2022Activity: Participating in or organising event(s) › Participating in a conference, workshop, exhibition, performance, inquiry, course etc › Research
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EIGEN-PGR Summer event
Meeson, K. (Speaker)
7 Jul 2022Activity: Talk or presentation › Oral presentation › Research
Thesis
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Multi-omics modelling to identify actionable targets in epithelial ovarian cancer
Meeson, K. (Author), Taylor, S. (Supervisor), Schwartz, J.-M. (Supervisor) & Townsend, P. (Supervisor), 31 Dec 2024Student thesis: Phd
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