Neuroscience in the era of functional genomics and systems biology
- 14 October 2009
- journal article
- review article
- Published by Springer Science and Business Media LLC in Nature
- Vol. 461 (7266), 908-915
- https://doi.org/10.1038/nature08537
Abstract
Advances in genetics and genomics have fuelled a revolution in discovery-based, or hypothesis-generating, research that provides a powerful complement to the more directly hypothesis-driven molecular, cellular and systems neuroscience. Genetic and functional genomic studies have already yielded important insights into neuronal diversity and function, as well as disease. One of the most exciting and challenging frontiers in neuroscience involves harnessing the power of large-scale genetic, genomic and phenotypic data sets, and the development of tools for data integration and mining. Methods for network analysis and systems biology offer the promise of integrating these multiple levels of data, connecting molecular pathways to nervous system function.Keywords
This publication has 82 references indexed in Scilit:
- Intra- and inter-individual genetic differences in gene expressionMammalian Genome, 2009
- Genetic-linkage mapping of complex hereditary disorders to a whole-genome molecular-interaction networkGenome Research, 2008
- Network activity-independent coordinated gene expression program for synapse assemblyProceedings of the National Academy of Sciences of the United States of America, 2007
- Celsius: a community resource for Affymetrix microarray dataGenome Biology, 2007
- ATAXIN-1 Interacts with the Repressor Capicua in Its Native Complex to Cause SCA1 NeuropathologyCell, 2006
- Genome-wide atlas of gene expression in the adult mouse brainNature, 2006
- A Protein–Protein Interaction Network for Human Inherited Ataxias and Disorders of Purkinje Cell DegenerationCell, 2006
- Neuronal Subtype-Specific Genes that Control Corticospinal Motor Neuron Development In VivoNeuron, 2005
- Systems Biology and New Technologies Enable Predictive and Preventative MedicineScience, 2004
- WebQTL: Web-Based Complex Trait AnalysisNeuroinformatics, 2003