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Laser Capture Microdissection, Amplified Antisense Rna, and Highdensity Microarrays: The New Frontier for Gene Expression Profiling From Limited Amounts of Tissue

Published online by Cambridge University Press:  02 July 2020

Roger D. Madison, Ph.D.
Roger D. Madison, Ph.D.*
Affiliation:
Division of Neurosurgery, Duke University Medical Center, and Veterans Affairs Medical Center, Durham, NC27710
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Extract

Because the genes in all somatic cells of an individual are identical, it is the differential expression of the proteins encoded by particular genes that determines a cell's phenotype. There is now increasing interest in relating the simultaneous expression patterns of multiple proteins to complex biological processes. The goal is to develop ‘expression profiles’ of the proteins that are active within a cell or tissue during a particular condition. The ultimate control of functional protein expression is quite complex and may involve transcriptional, combinatorial, and postranslational mechanisms, as well as differences in protein degradation rates that vary under different conditions. Although mRNA levels do not always predict functional protein levels, they are a useful first step in determining the expression profile.

The evolution of three key technologies offers the promise of obtaining quantitative analysis of gene expression from restricted amounts of nervous system tissue. Laser capture microdissection can accomplish harvesting of identified cell populations from histologically processed tissue.

Type
Recent Advances in Light Microscopy
Information
Microscopy and Microanalysis , Volume 6 , Issue S2: Proceedings: Microscopy & Microanalysis 2000, Microscopy Society of America 58th Annual Meeting, Microbeam Analysis Society 34th Annual Meeting, Microscopical Society of Canada/Societe de Microscopie de Canada 27th Annual Meeting, Philadelphia, Pennsylvania August 13-17, 2000 , August 2000 , pp. 840 - 841
Copyright
Copyright © Microscopy Society of America

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References

References:

1.Emmert-Buck, MR., Bonner, R.F., Smith, P.D., Chuaqui, R.F., Zhuang, Z., Goldstein, S.R., Weiss, R.A., and Liotta, L.A. (1996) Laser capture microdissection. Science 274 (5289):998–1001.Google Scholar
2.Fend, R, Emmert-Buck, M.R., Chuaqui, R., Cole, K., Lee, J., Liotta, L.A., and Raffeld, M. (1999) Immuno-LCM: Laser capture microdissection of immunostained frozen sections for mRNA analysis. Am.J.Pathol. 154 (l):61 66.CrossRefGoogle ScholarPubMed
3.Cole, K.A., Krizman, D.B., and Emmert-Buck, M.R. (1999) The genetics of cancer - a 3D model. Nature Genetics 21 (suppl.):38Al.CrossRefGoogle Scholar
4.Simone, N.L., Bonner, R.F., Gillespie, J.W., Emmert-Buck, M.R., and Liotta, L.A. (1998) Laser-capture microdissection: opening the microscopic frontier to molecular analysis. Trends Genet 14 (7):212–216.CrossRefGoogle ScholarPubMed
5.Bonner, R.F., Emmert-Buck, M.R., Cole, K., Pohida, T., Chuaqui, R., Goldstein, S., and Liotta, L.A. (1997) Laser capture microdissection: molecular analysis of tissue. Science 278 (5342): 1481–1483.CrossRefGoogle Scholar
6.Luo, L., Satunga, R.C., Guo, H., Bittner, A., Joy, K.C., Galindo, J. E ., Xiao, H., Rogers, K.E., Wan, J.S., Jackson, M.R., and Erlander, M.G. (1999) Gene expression profiles of laser-captured adjacent neuronal subtypes. Nat.Med. 5 (1): 117–122.CrossRefGoogle ScholarPubMed
7.Van Gelder, R.N., Zastrow, M.E., Yool, A., Dement, W.C., Barchas, J.D., and Eberwine, J.H. (1990) Amplified RNA synthesized from limited quantities of heterogenous cDNA. Proc.Natl.Acad.Sci.USA 87:1663–1667.CrossRefGoogle Scholar
8.Madison, R.D. and Robinson, G. A. (1998) λ-RNA Internal Standards Quantify Sensitivity and Amplification Efficiency of Mammalian Gene Expression Profiling. BioTechniques 25 (5):504–514.CrossRefGoogle ScholarPubMed
9.Lipshutz, R.J., Fodor, S.P.A., Gingeras, T.R., and Lockhart, D.J. (1999) High density synthetic oligonucleotide arrays. Nature Genetics 21 (suppl.): 20–24.Google Scholar
10.Wodicka, L., Dong, H., M., Mittmann, Ho, M.-H., and Lockhart, D.J. (1997) Genome-wide expression monitoring in Saceharomyces cerevisiae. Nature Biotech. 15:1359–1367.Google Scholar
11.Cho, R.J., Fromont-Racine, M., Wodicka, L., Feierbach, B., Starns, T., Legrain, P., Lockhart, D.J., and Davis, R.W. (1998) Parallel analysis of genetic selections using whole genome oligonucleotide arrays.Proceedings of the National Academy of Sciences, USA 95 (7)3152–3151.Google Scholar
12.Lockhart, D.J., Dong, H., Byrne, M.C., Follettie, M.T., Gallo, M.V., Chee, M.S., Mittmann, M., Kobayashi, M., Horton, H., and Brown, E.L. (19%) Expression monitoring by hybridization to high-density oligonucleotide arrays. Nature Biotech. 14 (13): 1675–1680.CrossRefGoogle Scholar
13. This work supported by NTH (NS22404-13), and the Veterans Affairs Administration. RDM is a Career Research Scientist within the VA Medical Research Service.Google Scholar