diplomsko delo
Nina Oven (Author), Jernej Ogorevc (Mentor)

Abstract

Za razvoj učinkovitih zdravljenj nevrodegenerativnih bolezni, je ključno razumevanje nastanka in razvoja bolezni. Za tovrstne raziskave se uveljavljajo modeli na osnovi induciranih pluripotentnih matičnih celic – iPSC, s katerimi poskušamo posnemati razvoj bolezni in vitro. Iz bolnikovih somatskih celic pridobimo iPSC, ki jih nato diferenciramo v nevrone ter uporabimo kot celični model za preučevanje bolezni. Tovrstni celični modeli so primerni za odkrivanje mutacij, ki so vzrok bolezni ali vplivajo na njen potek. Pri Alzheimerjevi bolezni so zaenkrat z boleznijo povezali predvsem mutacije v genih PSEN1 in PSEN2, pri Parkinsonovi bolezni pa SNCA, LRRK2, PINK1 in Parkin. Da bi modeli čim bolj verodostojno posnemali razvoj bolezni, se uveljavljajo 3D celični modeli, vplive okolja in staranja pa poskušamo posnemati predvsem z izpostavljanjem celic reaktivnim kisikovim radikalom. Sicer pa posnemanje vplivov okolja in staranja na celičnih modelih ostaja eden od glavnih izzivov tovrstnih raziskav.

Keywords

inducirane pluripotentne matične celice;nevrodegenerativne bolezni;modeliranje bolezni;celične kulture;Parkinsonova bolezen;Alzheimerjeva bolezen;

Data

Language: Slovenian
Year of publishing:
Typology: 2.11 - Undergraduate Thesis
Organization: UL BF - Biotechnical Faculty
Publisher: [N. Oven]
UDC: 606:616.8:602.9:591.81(043.2)
COBISS: 207148035 Link will open in a new window
Views: 107
Downloads: 15
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Other data

Secondary language: English
Secondary title: Use of iPSC for modelling neurodegenerative diseases
Secondary abstract: To develop effective treatments for neurodegenerative diseases, it is crucial to understand the onset and progression of the diseases. Research models used are often based on induced pluripotent stem cells (iPSCs) and are widely used to mimic disease development in vitro. iPSCs are derived from patients' somatic cells and then differentiated into neurons to serve as a cellular models for studying the disease. These cellular models are suitable for identifying mutations that either cause the disease or influence its course. In Alzheimer's disease, mutations in the PSEN1 and PSEN2 genes have been associated with the disease, while in Parkinson's disease, mutations in SNCA, LRRK2, PINK1, and Parkin have been proposed as the most promising candidate genes. To mimic disease progression, 3D cellular models are being adopted, while environmental influences and aging are simulated primarily using reactive oxygen species. However, the challenge of replicating aging and environmental effects in cultures has yet to be fully addressed.
Secondary keywords: eng;induced pluripotent stem cells;neurodegenerative diseases;modelling diseases;cell cultures;Parkinson's disease;Alzheimer's disease;
Type (COBISS): Bachelor thesis/paper
Study programme: 0
Embargo end date (OpenAIRE): 1970-01-01
Thesis comment: Univ. v Ljubljani, Biotehniška fak., Študij biotehnologije
Pages: 1 spletni vir (1 datoteka PDF (VI, 19 str.))
ID: 24956218