Technology Insight: querying the genome with microarrays—progress and hope for neurological disease
Abstract
The ability to perform large-scale analysis of the genome at the level of gene sequence, gene copy number and messenger RNA transcript expression characterizes the post-genomic era. In the past decade, the microarray-based approach has emerged as one of the major tools in this area of genome biology, contributing to advances in the understanding of Mendelian and complex neurological disorders. Despite technical issues regarding design, data analysis and validation that have to be addressed in the planning and interpretation of a microarray study, microarray-based approaches for studying transcript expression, single-nucleotide-polymorphism genotyping and gene resequencing are becoming more widely adopted. Genomic microarrays are providing an unprecedented opportunity to dissect the genetic risk for complex neurological disorders. Numerous clinical and preclinical applications are likely to dominate the ambitious microarray agenda within the next decade.
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Regional and cellular heterogeneity pose obstacles for transcriptomic studies in the CNS.
“Regional and cellular heterogeneity pose obstacles for transcriptomic studies in the central nervous system (CNS)100,200”
From Systems biology and gene networks in neurodevelopmental and neurodegenerative disorders (2015) · cites this paper as [200]
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Lewandowski, N. M., Ju, S., Verbitsky, M., Ross, B., Geddie, M. L., Rockenstein, E. M., Adame, A., Muhammad, A., Vonsattel, J. P., Ringe, D., et al. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1011751107 · Cited by 156 · see citing works
Wierenga, K. J., Jiang, Z., Yang, A., Mulvihill, J. J., & Tsinoremas, N. F. (2012) · Genetics in Medicine · doi:10.1038/gim.2012.136 · Cited by 90 · see citing works
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Novel candidate blood‐based transcriptional biomarkers of machado‐joseph disease
Raposo, M., Bettencourt, C., Maciel, P., Gao, F., Ramos, A., Kazachkova, N., Vasconcelos, J., Kay, T. T., Rodrigues, A. J., Bettencourt, B. F., et al. (2015) · Movement Disorders · doi:10.1002/mds.26238 · Cited by 30 · see citing works
Self-citationPreimplantation genetic diagnosis for inherited neurological disorders
Tur-Kaspa, I., Jeelani, R., & Doraiswamy, P. M. (2014) · Nature Reviews Neurology · doi:10.1038/nrneurol.2014.84 · Cited by 20 · see citing works
Fogel, B. L., & Geschwind, D. H. (2012) · Elsevier eBooks · doi:10.1016/b978-1-4377-0434-1.00040-2 · Cited by 14 · see citing works
Self-citationMicroarrays and the microscope: balancing throughput with resolution
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Self-citationFunctional genomics of the brain: uncovering networks in the CNS using a systems approach
Konopka, G. (2010) · WIREs Systems Biology and Medicine · doi:10.1002/wsbm.139 · Cited by 12 · see citing works
New concepts for electrical detection of biomolecules
Quesada, R. (2007) · Dipòsit Digital de Documents de la UAB (Universitat Autònoma de Barcelona)
Genetic and environmental contributions to eigengene expressionPreprint
Gillespie, N. A., Bell, T. R., Hearn, G. C., Hess, J., Tsuang, M. T., Lyons, M. J., Franz, C. E., Kremen, W. S., & Glatt, S. J. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.05.13.593914
Gillespie, N. A., Bell, T. R., Hearn, G. C., Hess, J., Tsuang, M. T., Lyons, M. J., Franz, C. E., Kremen, W. S., & Glatt, S. J. (2024) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.33003
- Authors
- Coppola, G., & Geschwind, D. H.
- Affiliations
- University of California, Los Angeles (US)
- Corresponding author
- Geschwind, Daniel H
- Venue
- Nature Clinical Practice Neurology
- Published
- 2006-03
- Volume
- 2
- Issue
- 3
- Pages
- 147-158
- ISSN
- 1745-834X (ISSN-L)
- 1745-8358
- OpenAlex
- W2053917570
- Cited by
- 12
- References
- 96
- Citations by year
- 2024: 2 · 2015: 2 · 2014: 1 · 2012: 2
- FWCI
- 0.08
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Clinical Practice Neurology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene expression and cancer classification
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomic variations and chromosomal abnormalities
- Keywords
- genomic microarrays, neurological disorders, gene copy number variation, SNP genotyping, monogenic disorders, genetic risk, patient classification
- MeSH terms
- Humans, Nervous System Diseases, Genome, Human, Oligonucleotide Array Sequence Analysis
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