Hornburg, Daniel (2015): Development and application of quantitative proteomics strategies to analyze molecular mechanisms of neurodegeneration. Dissertation, LMU München: Faculty of Chemistry and Pharmacy |
Preview |
PDF
Hornburg_Daniel.pdf 16MB |
Abstract
Neurodegenerative disorders such as Alzheimer’s disease, Huntington’s disease, Parkinson’s disease, Amyotrophic Lateral Sclerosis or Prion diseases are chronic, incurable and often fatal. A cardinal feature of all neurodegenerative disorders is the accumulation of misfolded and aggregated proteins. Depending on the disease, these aggregated proteins are cell type specific and have distinct cellular localizations, compositions and structures. Despite intensive research, the contribution of protein misfolding and aggregation to the cell type specific toxicity is not completely understood. In recent years, quantitative proteomics has matured into an exceptionally powerful technology providing accurate quantitative information on almost all cellular proteins as well as protein interactions, modifications, and subcellular localizations, which cannot be addressed by other omics technologies. The aim of this thesis is to investigate key features of neurodegeneration such as misfolded proteins and toxic protein aggregates with cutting edge proteomics, presenting a technological “proof of concept” and novel insights into the (patho)physiology of neurodegeneration.
Item Type: | Theses (Dissertation, LMU Munich) |
---|---|
Keywords: | Neurodegenerative disorders quantitative proteomics Amyotrophic Lateral Sclerosis Alzheimer’s disease |
Subjects: | 500 Natural sciences and mathematics 500 Natural sciences and mathematics > 540 Chemistry and allied sciences |
Faculties: | Faculty of Chemistry and Pharmacy |
Language: | English |
Date of oral examination: | 6. August 2015 |
1. Referee: | Mann, Matthias |
MD5 Checksum of the PDF-file: | 9be6c57ad34819e2ee5e9f6e5365acc2 |
Signature of the printed copy: | 0001/UMC 23294 |
ID Code: | 18717 |
Deposited On: | 21. Oct 2015 13:45 |
Last Modified: | 23. Oct 2020 21:34 |