Microarrays in brain research: the good, the bad and the ugly
- 1 June 2001
- journal article
- review article
- Published by Springer Nature in Nature Reviews Neuroscience
- Vol. 2 (6) , 444-447
- https://doi.org/10.1038/35077587
Abstract
Making sense of microarray data is a complex process, in which the interpretation of findings will depend on the overall experimental design and judgement of the investigator performing the analysis. As a result, differences in tissue harvesting, microarray types, sample labelling and data analysis procedures make post hoc sharing of microarray data a great challenge. To ensure rapid and meaningful data exchange, we need to create some order out of the existing chaos. In these ground-breaking microarray standardization and data sharing efforts, NIH agencies should take a leading roleKeywords
This publication has 30 references indexed in Scilit:
- Application of cDNA microarrays to examine gene expression differences in schizophreniaBrain Research Bulletin, 2001
- Disease-specific changes in regulator of G-protein signaling 4 (RGS4) expression in schizophreniaMolecular Psychiatry, 2001
- Microarray Applications in NeuroscienceNeurobiology of Disease, 2001
- The Stanford Microarray DatabaseNucleic Acids Research, 2001
- Database resources of the National Center for Biotechnology InformationNucleic Acids Research, 2001
- Gene Expression in Human Alcoholism: Microarray Analysis of Frontal CortexAlcohol, Clinical and Experimental Research, 2000
- Importance of replication in microarray gene expression studies: Statistical methods and evidence from repetitive cDNA hybridizationsProceedings of the National Academy of Sciences, 2000
- Microarray analysis of the transcriptional network controlled by the photoreceptor homeobox gene CrxCurrent Biology, 2000
- Distinct types of diffuse large B-cell lymphoma identified by gene expression profilingNature, 2000
- Decreased Hippocampal Expression of a Glutamate Receptor Gene in SchizophreniaThe British Journal of Psychiatry, 1991