Krach F, Bogiongko ME, Winner B (2020)
Publication Language: English
Publication Type: Journal article, Review article
Publication year: 2020
Book Volume: 106
Article Number: 103501
DOI: 10.1016/j.mcn.2020.103501
Parkinson's disease (PD) is a neurodegenerative disorder characterized by the loss of dopaminergic neurons in the midbrain. In recent years, researchers have started studying PD using induced pluripotent stem cell (iPSC) models of the disease. Surprisingly, few studies have combined iPSC-technology with the so-called powerful ‘omics’ approaches. Here, we review the current state of omics applications used in combination with iPSC-derived models to study PD. Our focus is on studies investigating transcriptional changes and publications using proteomics applications. Lastly, we discuss current caveats in the field and identify potential future directions to obtain novel insights into PD pathology.
APA:
Krach, F., Bogiongko, M.E., & Winner, B. (2020). Decoding Parkinson's disease – iPSC-derived models in the OMICs era. Molecular and Cellular Neuroscience, 106. https://doi.org/10.1016/j.mcn.2020.103501
MLA:
Krach, Florian, Marios Evangelos Bogiongko, and Beate Winner. "Decoding Parkinson's disease – iPSC-derived models in the OMICs era." Molecular and Cellular Neuroscience 106 (2020).
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