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Quantitative Analysis of Climbing Defects in a Drosophila Model of Neurodegenerative Disorders
Published on: June 13, 2015
eVGeMdb: a manually curated database for experimentally validated genetic modifiers of neurodegenerative disorders
Subashani Singh1, Pratibha Singh1, M P Varada1
1Department of Biotechnology, Indian Institute of Technology Hyderabad, Kandi, Telangana 502284, India.
Researchers created eVGeMdb, a database of genetic modifiers for neurodegenerative disorders (NDs). This resource consolidates fragmented knowledge, aiding the study of disease mechanisms and potential therapeutic targets.
Area of Science:
- Genetics
- Neuroscience
- Bioinformatics
Background:
- Genetic modifiers influence disease onset and progression by interacting with primary disease genes.
- Knowledge of genetic modifiers for neurodegenerative disorders (NDs) is currently fragmented across various experimental models.
Purpose of the Study:
- To develop eVGeMdb, a comprehensive, manually curated database of experimentally validated genetic modifiers for major NDs.
- To integrate modifier data from diverse model systems for cross-disease and model-specific comparisons.
Main Methods:
- Manual curation of genetic modifier data from scientific literature.
- Integration of information from model systems including *Drosophila melanogaster*, *Caenorhabditis elegans*, *Saccharomyces cerevisiae*, cellular models, and mice.
- Annotation of entries with experimental context, functional information, human orthologs, and network/pathway links.
Main Results:
- eVGeMdb is a comprehensive database with over 17,000 entries of genetic modifiers for NDs.
- The database includes modifiers for Amyotrophic Lateral Sclerosis, Alzheimer's disease, Parkinson's disease, Huntington's disease, and others.
- The resource facilitates identification of universal and disease-specific modifiers.
Conclusions:
- eVGeMdb provides a centralized, accessible platform for neurodegenerative disorder genetic modifier research.
- The database supports hypothesis generation, experimental validation, and investigation of disease pathophysiology.
- This resource aids researchers in understanding the complex genetic landscape of neurodegenerative disorders.
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