Browse > Article

Radioactive cDNA microarray in Neurospsychiatry  

Choe, Jae-Gol (Department of Nuclear Medicine, Korea University Medical School)
Shin, Kyung-Ho (Department of Pharmacology, Korea University Medical School)
Lee, Min-Soo (Department of Psychiatrics, Korea University Medical School)
Kim, Meyoung-Kon (Department of Biochemistry and Molecular Biology, Korea University Medical School)
Publication Information
The Korean Journal of Nuclear Medicine / v.37, no.1, 2003 , pp. 43-52 More about this Journal
Abstract
Microarray technology allows the simultaneous analysis of gene expression patterns of thousands of genes, in a systematic fashion, under a similar set of experimental conditions, thus making the data highly comparable. In some cases arrays are used simply as a primary screen loading to downstream molecular characterization of individual gene candidates. In other cases, the goal of expression profiling is to begin to identify complex regulatory networks underlying developmental processes and disease states. Microarrays were originally used with ceil lines or other simple model systems. More recently, microarrays have been used in the analysis of more complex biological tissues including neural systems and the brain. The application of cDNA arrays in neuropsychiatry has lagged behind other fields for a number of reasons. These include a requirement for a large amount of input probe RNA In fluorescent-glass based array systems and the cellular complexity introduced by multicellular brain and neural tissues. An additional factor that impacts the general use of microarrays in neuropsychiatry is the lack of availability of sequenced clone sets from model systems. While human cDNA clones have been widely available, high qualify rat, mouse, and drosophilae, among others are just becoming widely available. A final factor in the application of cDNA microarrays in neuropsychiatry is cost of commercial arrays. As academic microarray facilitates become more commonplace custom made arrays will become more widely available at a lower cost allowing more widespread applications. in summary, microarray technology is rapidly having an impact on many areas of biomedical research. Radioisotope-nylon based microarrays offer alternatives that may in some cases be more sensitive, flexible, inexpensive, and universal as compared to other array formats, such as fluorescent-glass arrays. In some situations of limited RNA or exotic species, radioactive membrane microarrays may be the most practical experimental approach in studying psychiatric and neurodegenerative disorders, and other complex questions in the brain.
Keywords
Citations & Related Records
연도 인용수 순위
  • Reference
1 Schena M, Shalon D, Davis RW, Brown PO. Quantitative monitoring of gene expression patterns with a complementary DNA microarray. Science 1995;270:467-70
2 Whitney LW, Becker KG, Tresser NJ, Caballero-Ramos CI, Munson PJ, Prabhu VV, Trent JM, McFarland HF, Biddison WE. Analysis of gene expression in mutiple sclerosis lesions using cDNA microarrays. Ann Neural 1999;46:425-8
3 Khan J, Simon R, Bittner M, Chen Y, Leighton SB, Pohida T, Smith PD, Jing Y, Gooden GC, Trent JM, Meltzer PS. Gene expression profiling of aveolar rhabdomyosarcoma with cDNA microarrays. Cancer Res 1998;58(22):5009-5013
4 Luo L, Salunga RC, Guo H, Bittner A, Joy KC, Galindo JE, Xiao H, Rogers KE, Wan JS, Jackson MR, Erlander MG. Gene expression profiles of laser-captured adjacent neuroal subtypes. Nat Med 1999;5(1):117-22
5 Wawter NP, Barrett T, Cheadle C, Sokolov Bp, Wood WH, Donovan OM, Webster M, Freed WJ, Becker KG. Application of cDNA microarrays to examine gene expression differences in schizophrenia. Brain Research Bulletin [In press] 2000
6 DeRisi J, Penland L, Brown PO, Bittner ML, Meltzer PS, Ray M, Chen Y, Su YA, Trent JM. Use of a cDNA microarray to analyse gene expression patterns in human cancer. Nat Genet 1996;14:457-60
7 Zhao N, Hashida H, Takahashi N, Misumi Y, Sakaki Y. High-density cDNA filter analysis : a novel approach for large-scale, quantitative analysis of gene expression. Gene 1995;156(2):207-13
8 Duggan DJ, Bittner M, Chen Y, Meltzer P, Trent JM. Expression profiling using cDNA microarrays. Nat Genet Jan 1999;21(lsuppl):10-14
9 Guiford JP, Fruchter B. Fundamental statistics in psychology and education. 1973;Fifth edition. McGraw-Hill: New York
10 Colantuoni C, Purcell AE, Bouton CM, Pevsner J. High throughput analysis of gene expression in the human brain. J Neurosci Res 2000;59: 1-10
11 Tanaka TS, Jaradat SA, Lim MK, Kargul GJ, Wang X, Grahovac MJ, Pantano S, Sano Y, Piao Y, Nagaraja R, Doi H, Wood WH, 3rd, Becker KG, Ko MS. Genome-wide expression profiling of mid-gestation placenta and embryo using a 15,000 mouse developmental cDNA microarray. Proc Natl Acad Sci USA 2000;97:9127-32
12 Bertucci F, Bernard K, Loriod B, Chang YC, Granjeaud S, Birnbaum D, Nguyen C, Peck K, Jordan BR. Sensitivity issues in DNA array-based expression measurements and performance of nylon microarrays for small samples. Hum Mol Genet 1999;8:1715-22
13 Schuchhardt J, Beule D, Malik A, Wolski E, Eickhoff H, Lehrach H, Herzel H. Normalization strategies for cDNA microarrays. Nucleic Acids Res 2000;28:E47
14 Sargent TO, Dawid IB. Differential gene expression in the gastrula of xenopus laevis. Science 1983;222(4620): 135-9