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http://dx.doi.org/10.25673/124838| Title: | miR-127-3p as a potential regulator of human coronary artery smooth muscle cell processes and their molecular pathways in vascular remodelling |
| Author(s): | Daniel, Fiene |
| Referee(s): | Sedding, Daniel Hüttelmaier, Stefan Fiedler, Jan |
| Granting Institution: | Martin-Luther-Universität Halle-Wittenberg |
| Issue Date: | 2026 |
| Extent: | 1 Online-Ressource (65, XXIV Seiten) |
| Type: | Hochschulschrift |
| Type: | PhDThesis |
| Exam Date: | 2026-03-10 |
| Language: | English |
| URN: | urn:nbn:de:gbv:3:4-1981185920-1267728 |
| Abstract: | Pathological vascular remodelling arises from abnormal behaviour of SMCs, with miRs acting as key modulators. This thesis identifies a previously uncharacterized, context-dependent role for miR-127-3p in vascular remodelling. miR-127-3p is dynamically regulated in mouse models of atherosclerosis and restenosis and displays conservation across species. In human coronary artery SMCs (HCASMCs), miR-127-3p is present in the non-senescent (non-sen) and replicative-senescent (rep-sen) states. Gain-of-function experiments show that miR-127-3p suppresses proliferation in both contexts, while exerting opposite effects on migration: it reduces migration in non-sen cells but enhances it in rep-sen cells. Targets of miR-127-3p were identified. The miR consistently downregulates mTOR, while AXL is selectively upregulated in non-sen cells. Although miR-127-3p does not alter senescence itself, it promotes the production of ROS and pro-inflammatory signalling pathways in non-sen cells. These results position miR-127-3p as a regulator of HCASMCs that links growth control, migration, and inflammation in vascular remodelling. |
| URI: | https://opendata.uni-halle.de//handle/1981185920/126772 http://dx.doi.org/10.25673/124838 |
| Open Access: | Open access publication |
| License: | (CC BY 4.0) Creative Commons Attribution 4.0 |
| Appears in Collections: | Interne-Einreichungen |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Dissertation_MLU_2026_DanielFiene.pdf | 3.26 MB | Adobe PDF | ![]() View/Open |
Open access publication
