Neuroscience in the era of functional genomics and systems biology
Open accessAbstract
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.
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Even though it is omic, it is less unbiased than methods that survey the genome more agnostically.
“So although it is “ –-omic” in nature [71], it is not quite as unbiased as methods that survey the genome more agnostically.”
From Genetics of autism spectrum disorders (2011) · cites this paper as [71]
Only a few elements of integrating these levels of understanding have been achieved so far, and only preliminarily.
“Components of this have been achieved in a preliminary manner for only a few elements, but to understand ASD from a systems level mechanistic perspective, we will need to integrate all of these levels of understanding [71].”
From Genetics of autism spectrum disorders (2011) · cites this paper as [71]
Methods are now available to measure large-scale molecular, cellular, and circuit-level phenotypes, with additional methods in development.
“Methods have recently become available that permit the measurement of large-scale molecular4,5, cellular6 and circuit-level3 phenotypes, and additional methods are currently in development7.”
From Systems biology and gene networks in neurodevelopmental and neurodegenerative disorders (2015) · cites this paper as [4]
Many biological networks have a hierarchical structure in which nodes can be organized into a relatively small collection of highly interconnected modules.
“Many biological networks have a hierarchical structure such that their nodes can be organized into a relatively small collection of highly interconnected modules4,28,29”
From Systems biology and gene networks in neurodevelopmental and neurodegenerative disorders (2015) · cites this paper as [4]
Network methods relate genes to each other using measured or predicted relationships and provide an organizing framework that places each gene in its molecular system.
“Network methods (BOX 2) relate genes to each other using the measured or predicted relationships between them4 and provide an essential organizing framework that places each gene in the context of its molecular system.”
From Systems biology and gene networks in neurodevelopmental and neurodegenerative disorders (2015) · cites this paper as [4]
Transcriptomic and other molecular systems measurements can be correlated with systems neuroscience phenotypes, such as MRI and functional MRI, or behavioural phenotypes to identify non-invasive indicators of disease state.
“Transcriptomic and other molecular systems measurements can also be correlated with systems neuroscience phenotypes, such as MRI and functional MRI measurements, or behavioural phenotypes to identify non-invasive indicators of disease state4 (FIG. 1a).”
From Systems biology and gene networks in neurodevelopmental and neurodegenerative disorders (2015) · cites this paper as [4]
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References 82 · Cited by 213
- Authors
- Geschwind, D. H., & Konopka, G.
- Affiliations
- University of California, Los Angeles (US)
- ORCID
- Geschwind, Daniel H.
- Venue
- Nature
- Published
- 2009-10
- Volume
- 461
- Issue
- 7266
- Pages
- 908-915
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC3645852
- OpenAlex
- W2006387633
- Cited by
- 213
- References
- 82
- Citations by year
- 2026: 4 · 2025: 7 · 2024: 7 · 2023: 6 · 2022: 6 · 2021: 8 · 2020: 13 · 2019: 12 · 2018: 12 · 2017: 11 · 2016: 13 · 2015: 15 · 2014: 12 · 2013: 15 · 2012: 28
- FWCI
- 1.78
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion, public-domain)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- National Institute of Mental Health (R37MH60233-06A1, K99MH090238, R37MH060233)
- National Institute of Neurological Disorders and Stroke (U24NS052108)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
- Keywords
- functional genomics, systems biology, network analysis, data integration, data mining, neuronal heterogeneity, neurodegenerative diseases, molecular pathways, nervous system function
- MeSH terms
- Animals, Humans, Nervous System, Neurosciences, Synapses, Proteome, Gene Expression Profiling, Genomics, Systems Biology
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