رسالة جامعية
Studying Models of the Amyloid Cascade Hypothesis Using Single-Molecule Imaging ...
| العنوان: | Studying Models of the Amyloid Cascade Hypothesis Using Single-Molecule Imaging ... |
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| المؤلفون: | Fertan, Emre |
| بيانات النشر: | Apollo - University of Cambridge Repository |
| سنة النشر: | 2023 |
| المجموعة: | DataCite Metadata Store (German National Library of Science and Technology) |
| مصطلحات موضوعية: | Alzheimer's disease, Amyloid cascade hypothesis, Beta-amyloid, Disease models, Single-molecule detection, Soluble aggregates, Super-resolution imaging |
| الوصف: | Observation of beta-amyloid (Aβ) plaques in the brains of Alzheimer’s disease (AD) patients led to the development of the amyloid cascade hypothesis (ACH), which postulates the accumulation of Aβ as the initiator of AD. Aβ can be found in multiple forms in the AD brain; while the insoluble plaques are the most studied species, the smaller, soluble aggregates may be more toxic, leading to neuroinflammation, oxidative stress, and tau phosphorylation. However, their small size and low abundance makes it challenging to study the soluble Aβ aggregates. Our group has been developing single-molecule and super- resolution microscopy techniques to characterise these aggregates. While these methods were previously applied to human samples, they have not been used to study disease models. Cellular and animal models have numerous advantages over human samples, primarily less intra-group variation and the ability to manipulate individual pathways. Thus, these models enable researchers to gain insight over disease ... |
| نوع الوثيقة: | doctoral or postdoctoral thesis thesis |
| اللغة: | English |
| DOI: | 10.17863/cam.108416 |
| الإتاحة: | https://doi.org/10.17863/cam.108416Test https://www.repository.cam.ac.uk/handle/1810/368077Test |
| حقوق: | open.access ; All Rights Reserved ; https://www.rioxx.net/licenses/all-rights-reservedTest/ ; http://purl.org/coar/access_right/c_abf2Test |
| رقم الانضمام: | edsbas.CA8283A7 |
| قاعدة البيانات: | BASE |
| DOI: | 10.17863/cam.108416 |
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