Metabolomics Analyses from Tissues in Parkinson’s Disease
| Autor: | Jade Woods, Aline de Lima Leite, Martha D. Morton, Eric D. Dodds, Eli Riekeberg, Darrell D. Marshall, Fatema Bhinderwala, Rodrigo Franco, Jordan Rose, Robert Powers, Shulei Lei |
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| Rok vydání: | 2019 |
| Předmět: |
0301 basic medicine
Parkinson's disease Primary Cell Culture Disease Computational biology Article Chemometrics Mice 03 medical and health sciences 0302 clinical medicine Metabolomics Cell Line Tumor Metabolome Animals Humans Medicine Neurons Carbon Isotopes Nitrogen Isotopes business.industry Brain Parkinson Disease Omics medicine.disease Rats Disease Models Animal 030104 developmental biology Astrocytes Potential biomarkers Disease Progression Identification (biology) business Biomarkers 030217 neurology & neurosurgery |
| Zdroj: | Methods in Molecular Biology ISBN: 9781493994878 |
| DOI: | 10.1007/978-1-4939-9488-5_19 |
| Popis: | Metabolomics has been successfully applied to study neurological and neurodegenerative disorders including Parkinson’s disease for: 1) the identification of potential biomarkers of onset and disease progression; 2) the identification of novel mechanisms of disease progression; and 3) the assessment of treatment prognosis and outcome. Reproducible and efficient extraction of metabolites is imperative to the success of any metabolomics investigation. Unlike other OMICS techniques, the composition of the metabolome can be negatively impacted by the preparation, processing and the handling of these samples. The proper choice of data collection, preprocessing and processing protocols are similarly important to the design of an effective metabolomics experiment. Likewise, the correct application of univariate and multivariate statistical methods are essential for providing biologically-relevant insights. In this chapter, we have outlined a detailed metabolomics workflow that addresses all of these issues. A step-by-step protocol from the preparation of neuronal cells and metabolomic tissue samples to their metabolic analyses using nuclear magnetic resonance, mass spectrometry, and chemometrics is presented. |
| Databáze: | OpenAIRE |
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