Abstract
Parkinson disease is the second most common neurodegenerative disorder. Therefore, it is worthwhile to search for important molecular markers and pathways that hold great promise for further treatment of patients with Parkinson’s disease. DNA-microarray-based technologies allow simultaneous analysis of expression of thousands of genes. Here, we performed a comprehensive gene level assessment of Parkinson’s disease using 16 colorectal cancer samples and nine normal samples. The results show that SLC6A3, SLC18A2, and EN1, etc., are related to Parkinson’s disease. Besides, we further mined the underlying molecular mechanism within these different genes. The results indicate that tyrosine metabolism pathway and Parkinson's disease pathway were two significant pathways, with hope to provide insights into the development of novel therapeutic targets and pathways. Key words: Microarrays, graph-cluster, Parkinson’s disease, gene ontology (GO), pathway.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
