Title |
Integrating Pathways of Parkinson's Disease in a Molecular Interaction Map
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Published in |
Molecular Neurobiology, July 2013
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DOI | 10.1007/s12035-013-8489-4 |
Pubmed ID | |
Authors |
Kazuhiro A. Fujita, Marek Ostaszewski, Yukiko Matsuoka, Samik Ghosh, Enrico Glaab, Christophe Trefois, Isaac Crespo, Thanneer M. Perumal, Wiktor Jurkowski, Paul M. A. Antony, Nico Diederich, Manuel Buttini, Akihiko Kodama, Venkata P. Satagopam, Serge Eifes, Antonio del Sol, Reinhard Schneider, Hiroaki Kitano, Rudi Balling |
Abstract |
Parkinson's disease (PD) is a major neurodegenerative chronic disease, most likely caused by a complex interplay of genetic and environmental factors. Information on various aspects of PD pathogenesis is rapidly increasing and needs to be efficiently organized, so that the resulting data is available for exploration and analysis. Here we introduce a computationally tractable, comprehensive molecular interaction map of PD. This map integrates pathways implicated in PD pathogenesis such as synaptic and mitochondrial dysfunction, impaired protein degradation, alpha-synuclein pathobiology and neuroinflammation. We also present bioinformatics tools for the analysis, enrichment and annotation of the map, allowing the research community to open new avenues in PD research. The PD map is accessible at http://minerva.uni.lu/pd_map . |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 30% |
Spain | 2 | 20% |
Netherlands | 2 | 20% |
Japan | 1 | 10% |
Unknown | 2 | 20% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 60% |
Scientists | 4 | 40% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Luxembourg | 5 | 1% |
Spain | 3 | <1% |
United Kingdom | 3 | <1% |
Germany | 2 | <1% |
Australia | 1 | <1% |
Brazil | 1 | <1% |
Colombia | 1 | <1% |
Italy | 1 | <1% |
United States | 1 | <1% |
Other | 1 | <1% |
Unknown | 316 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 66 | 20% |
Researcher | 52 | 16% |
Student > Master | 43 | 13% |
Student > Bachelor | 42 | 13% |
Other | 19 | 6% |
Other | 53 | 16% |
Unknown | 60 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 74 | 22% |
Biochemistry, Genetics and Molecular Biology | 59 | 18% |
Medicine and Dentistry | 35 | 10% |
Neuroscience | 26 | 8% |
Computer Science | 20 | 6% |
Other | 51 | 15% |
Unknown | 70 | 21% |