Tzvetkov, Jordan ORCID: 0000-0002-0172-716X (2023) Integrating Spatial Omics to Map the Biomolecular Fingerprint of Osteoarthritis Onset in the Mouse Knee. PhD thesis, University of York.
Abstract
Osteoarthritis (OA) is a highly prevalent degenerative joint disease that causes pain and disability, resulting in a tremendous socioeconomic burden. Developing disease modifying treatments and early detection tools is a pressing need that remains unmet due to the challenging nature of working with joint tissues and the limited spatial context of previous molecular profiling technologies. This thesis addresses these challenges by adapting and integrating cutting-edge spatial molecular profiling omics technologies (MALDI-IMS and DSP) to study the molecular landscape of the healthy and osteoarthritic mouse knee. Chapter III outlines the development of a MALDI-IMS spatial omics analytical pipeline suitable for both paraffin-embedded and cryopreserved joint tissues. Presented are an array of technical considerations and adaptations carried out to optimise the data acquisition and analysis. In Chapter IV, the developed pipeline is applied to healthy and hypomineralised joint tissues in order to demonstrate its ability to detect biomarkers and track disease state. The healthy lipid signatures of marrow, cortical bone, articular cartilage, and the growth plate are established. A lipid atlas of over 120 lipids enriched in these tissues is generated. Abnormal PHOSPHO1-knockout growth plate tissues, characterised by reduced mineral deposition, are compared to healthy controls, uncovering over 600 lipid ions with differential growth plate zone-specific abundance. The presented results provide insights into the role of PHOSPHO1 in lipid homeostasis and the role of lipid biochemistry in the mineralisation process. In Chapter V, MALDI-IMS and DSP proteomics are integrated to uncover spatially-resolved biomarkers of OA onset and progression. A map of early OA molecular anatomy is presented, outlining significant alterations in apoptosis, autophagy, MAPK signalling, PI3K/AKT signalling, and immune cell signalling. For example, dysregulated autophagy and downregulation of MEK1 were early OA hallmarks in the articular cartilage. This resource requires further validation, but could aid the development of targeted tissue-specific disease-modifying therapeutics.
Metadata
Supervisors: | Genever, Paul |
---|---|
Related URLs: | |
Keywords: | osteoarthritis, mass spectrometry imaging, MALDI-IMS, digital spatial profiling, DSP, multiomics, proteomics, peptidomics, lipidomics, spatial omics, knee, joint, articular cartilage, bone, synovium, marrow, growth plate, cartilage, fat pad |
Awarding institution: | University of York |
Academic Units: | The University of York > Biology (York) |
Depositing User: | PhD Jordan Tzvetkov |
Date Deposited: | 02 Feb 2024 16:24 |
Last Modified: | 02 Feb 2024 16:24 |
Downloads
Examined Thesis (PDF)
Embargoed until: 2 February 2027
Please use the button below to request a copy.
Filename: Tzvetkov_201033706_CorrectedThesisClean.pdf
Description: final version of thesis
Supplementary Material
Embargoed until: 2 February 2027
Please use the button below to request a copy.
Filename: Tzvetkov_201033706_ThesisSupplementaryMaterials.zip
Description: supplementary tables referred to in the thesis
Export
Statistics
Please use the 'Request a copy' link(s) in the 'Downloads' section above to request this thesis. This will be sent directly to someone who may authorise access.
You can contact us about this thesis. If you need to make a general enquiry, please see the Contact us page.