Abstract
In the post-genomic era, microarray technology will have a major impact on our understanding of complex gene expression patterns and circuit function in the brain. Due to the phenotypic and transcript complexity of the brain, transcriptome profiling data is multifaceted, and is best interpreted in the context of the cellular diversity of the studied brain region. In the near future, massive microarray datasets will be placed into a biological context. To separate biologically significant transcriptome differences from experimental noise, verification of microarray data and anatomical localization of expression changes to neuronal subpopulations will continue to be an integral part of microarray experiments.
Keywords: Microarrays
Current Genomics
Title: Microarrays in Brain Research: Data Quality and Limitations
Volume: 3 Issue: 1
Author(s): Karoly Mirnics
Affiliation:
Keywords: Microarrays
Abstract: In the post-genomic era, microarray technology will have a major impact on our understanding of complex gene expression patterns and circuit function in the brain. Due to the phenotypic and transcript complexity of the brain, transcriptome profiling data is multifaceted, and is best interpreted in the context of the cellular diversity of the studied brain region. In the near future, massive microarray datasets will be placed into a biological context. To separate biologically significant transcriptome differences from experimental noise, verification of microarray data and anatomical localization of expression changes to neuronal subpopulations will continue to be an integral part of microarray experiments.
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Cite this article as:
Mirnics Karoly, Microarrays in Brain Research: Data Quality and Limitations, Current Genomics 2002; 3 (1) . https://dx.doi.org/10.2174/1389202023350598
DOI https://dx.doi.org/10.2174/1389202023350598 |
Print ISSN 1389-2029 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5488 |
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