Reference : The Parkinson’s Disease Map: a framework for integration, curation and exploration of...
Scientific congresses, symposiums and conference proceedings : Unpublished conference
Life sciences : Multidisciplinary, general & others
http://hdl.handle.net/10993/514
The Parkinson’s Disease Map: a framework for integration, curation and exploration of disease related pathways
English
Trefois, Christophe mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
12-Apr-2013
16
Yes
No
International
RedOx Biology Symposium
11-04-2013 to 12-04-2013
University of the Greater Region (UGR)
Kaiserslautern
Germany
[en] Parkinson’s disease ; Molecular neuropathology ; Knowledge repository ; Bioinformatics
[en] The pathogenesis of Parkinson's Disease (PD) is multi-factorial and age-related, implicating various genetic and environmental factors. It becomes increasingly important to develop new approaches to organize and explore the exploding knowledge of this field.
The published knowledge on pathways implicated in PD, such as synaptic and mitochondrial dysfunction, alpha-synuclein pathobiology, failure of protein degradation systems and neuroinflammation has been organized and represented using CellDesigner. This repository has been linked to a framework of bioinformatics tools including text mining, database annotation, large-scale data integration and network analysis. We present the PD map, a computer-based knowledge repository, which includes molecular mechanisms of PD in a visually structured and standardized way. A bioinformatics framework that facilitates in-depth knowledge exploration, extraction and curation supports the map. We discuss the insights gained from PD map-driven text mining of a corpus of over 50 thousands full text PD-related papers, integration and visualization of gene expression in post mortem brain tissue of PD patients with the map, as well as results of network analysis.
Conclusions: The knowledge repository of disease-related mechanisms provides a global insight into relationships between different pathways and allows considering a given pathology in a broad context. Enrichment with available text and bioinformatics databases as well as integration of experimental data supports better understanding of complex mechanisms of PD and formulation of novel research hypotheses.
LCSB
University of Luxembourg - UL
Researchers ; Professionals ; Students ; Others
http://hdl.handle.net/10993/514
Presented by Christophe Trefois

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