Microarrays in brain research: The good, the bad and the ugly

Nature Reviews Neuroscience

Volumn 2, Issue 6, 2001, Pages 444-447

  Mirnics, Károly ^a  

^a UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANIMAL; DNA MICROARRAY; FACTUAL DATABASE; GENE EXPRESSION; HEALTH CARE ORGANIZATION; HUMAN; INFORMATION PROCESSING; METHODOLOGY; NEUROSCIENCE; PHYSIOLOGY; REPRODUCIBILITY; REVIEW; STANDARD; UNITED STATES;

ANIMALS; AUTOMATIC DATA PROCESSING; DATABASES, FACTUAL; GENE EXPRESSION; HUMANS; NATIONAL INSTITUTES OF HEALTH (U.S.); NEUROSCIENCES; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; REPRODUCIBILITY OF RESULTS; RESEARCH DESIGN; UNITED STATES;

EID: 0035380762     PISSN: 1471003X     EISSN: 14710048     Source Type: Journal    
DOI: 10.1038/35077587     Document Type: Article

References (32)

1. Luo, Z. & Geschwind, D. H. Microarray applications in neuroscience. Neurobioi. Dis. 8, 183-193 (2001).
2. Geschwind, D. H. Mice, microarrays, and the genetic diversity of the brain. Proc. NatlAcad. Sci. USA 97, 10676-10678 (2000).
3. Mirnics, K. et al. in Methods in Neurogenetics (eds Chin, H. & Moldin, S.) (CRC Press LLC, in the press).
4. Mirnics, K. et al. Molecular characterization of schizophrenia viewed by microarray analysis of gene expression in prefrontal cortex. Neuron 28, 53-67 (2000).
5. Woo, T. U. et al. A subclass of prefrontal y-aminobutyric acid axon terminals are selectively altered in schizophrenia. Proc. Natl Acad. Sci. USA 95, 5341-5346 (1998).
6. Volk, D. W. et al. Decreased glutamic acid decarboxylase 67 messenger RNA expression in a subset of prefrontal cortical y-aminobutyric acid neurons in subjects with schizophrenia. Arch. Gen. Psychiatry 57, 237-245 (2000).
7. Collinge, J. & Curtis, D. Decreased hippocampal expression of a glutamate receptor gene in schizophrenia. Br. J. Psychiatry 159, 857-859 (1991).
8. Lewohl, J. M. et al. Gene expression in human alcoholism: microarray analysis of frontal cortex. Alcohol Clin. Exp. Res. 24, 1873-1882 (2000).
9. Geschwind, D. H. et al. A genetic analysis of neural progenitor differentiation. Neuron 29, 325-339 (2001).
10. Mirnics, K. et al. Disease-specific changes in regulator of G-protein signaling 4 (RGS4) expression in schizophrenia. Mol. Psychiatry6, 293-301 (2001).
11. Livesey, F. J. et al. Microarray analysis of the transcriptional network controlled by the photoreceptor homeobox gene Crx. Curr. Biol. 10, 301-310 (2000).
12. Luo, L. et al. Gene-expression profiles of laser-captured adjacent neuronal sub-types. Nature Med. 5, 117-122 (1999).
13. Thibault, C. et al. Expression profiling of neural cells reveals specific patterns of ethanol-responsive gene expression. Mol. Pharmacol. 58, 1593-1600 (2000).
14. Sandberg, R. et al. Regional and strain-specific gene expression mapping in the adult mouse brain. Proc. Natl Acad. Sci. USA 97, 11038-11043 (2000).
15. Ginsberg, S. D. et al. Expression profile of transcripts in Alzheimer's disease tangle-bearing CA1 neurons. Ann. Neurol. 48, 77-87 (2000).
16. Ginsberg, S. D. et al. Predominance of neuronal mRNAs in individual Alzheimer's disease senile plaques. Ann. Neurol. 45, 174-181 (1999).
17. Whitney, L. W. et al. Analysis of gene expression in mutiple sclerosis lesions using cDNA microarrays. Ann. Neurol. 46, 425-428 (1999).
18. Vawter, M. et al. Application of cDNA microarrays to examine gene expression differences in schizophrenia. Brain Res. Bull. (in the press).
19. Hakak, Y. et al. Genome-wide expression analysis reveals dysregulation of myelination-related genes in chronic schizophrenia. Proc. Natl Acad. Sci. USA 98, 4746-4751 (2001).
20. Barlow, C. & Lockhart, D. J. in Methods in Neurogenetics (eds Chin, H. & Moldin, S.) (CRC Press LLC, in the press).
21. Lee, M. L. et al. Importance of replication in microarray gene expression studies: statistical methods and evidence from repetitive cDNA hybridizations. Proc. Natl Acad. Sci. USA 97, 9834-9839 (2000).
22. Eisen, M. B. et al. Cluster analysis and display of genome-wide expression patterns. Proc. Natl Acad. Sci. USA 95, 14863-14868 (1998)
23. Hastie, T. et al. Supervised harvesting of expression trees. Genome Biol. 2, 0003. 0001-0003. 0012 (2001).
24. Hastie, T. et al. 'Gene shaving' as a method for identifying distinct sets of genes with similar expression patterns. Genome Biol. 1, 0003. 0001-0003. 0021 (2000).
25. Toronen, P. et al. Analysis of gene expression data using self-organizing maps. FEBS Lett. 451, 142-146 (1999).
26. Tamayo, P. et al. Interpreting patterns of gene expression with self-organizing maps: methods and application to hematopoietic differentiation. Proc. Natl Acad. Sci. USA 96, 2907-2912 (1999).
27. Brown, M. P. et al. Knowledge-based analysis of microarray gene expression data by using support vector machines. Proc. Natl Acad. Sci. USA 97, 262-267 (2000).
28. Raychaudhuri, S. et al. Basic microassay analysis: grouping and feature reduction. Trends Biotechnol. 19, 189-193 (2001).
29. Mirnics, K. et al. Analysis of complex brain disorders with microarrays: schizophrenia as a disease of the synapse. Trends Neurosci. (in the press).
30. Wheeler, D. L. et al. Database resources of the National Center for Biotechnology Information. Nucleic Acids Res. 29, 11-16 (2001).
31. Sherlock, G. et al. The Stanford microarray database. Nucleic Acids Res. 29, 152-155 (2001).
32. Alizadeh, A. A. et al. Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling. Nature 403, 503-511 (2000).