Integrative Systems Biology Approaches to Identify and Prioritize Disease and Drug Candidate Genes
Although a number of computational approaches have been developed to integrate data from multiple sources for the purpose of predicting or prioritizing candidate disease genes, relatively few of them focus on identifying or ranking drug targets. To address this deficit, we have developed an approach to specifically identify and prioritize disease and drug candidate genes. In this chapter, we demonstrate the applicability of integrative systems-biology-based approaches to identify potential drug targets and candidate genes by employing information extracted from public databases. We illustrate the method in detail using examples of two neurodegenerative diseases (Alzheimer’s and Parkinson’s) and one neuropsychiatric disease (Schizophrenia).
- DEAE-Dextran Transfection of Mammalian Cultured Cells
- Peptide Microarrays for Profiling of Modification State-Specific Antibodies
- Nasal Delivery of siRNA
- Cloning DNA Binding Proteins from cDNA Expression Libraries Using Oligonucleotide Binding Site Probes
- PCR Amplification and Sequence Analysis of GC-Rich Sequences: Aristaless-Related Homeobox Example
- Measuring the Formation and Repair of UV Damage at the DNA Sequence Level by Ligation-Mediated PCR
- High-Content RNA Interference Assay: Analysis of Tau Hyperphosphorylation as a Generic Paradigm
- Formulation of Synthetic Gene Delivery Vectors for Transduction of the Airway Epithelium
- Gene Targeting Vector Design for Embryonic Stem Cell Modifications
- Application of PCR to Transgenic Plants