Abstract
Microarrays are a powerful laboratory tool for the simultaneous assessment of the activity of thousands genes. Remarkable advances in biological sample collection, preparation and automation of hybridization have enabled the application of microarray technology to large, population-based studies. Now, microarrays have the potential to serve as screening tools for the detection of altered gene expression activity that might contribute to diseases in human populations. Reproducible and reliable microarray results depend on multiple factors. In this chapter, biological sample parameters are introduced that should be considered for any microarray experiment. Then, the microarray technology that we have successfully applied to limited biological sample from all our molecular epidemiology studies is detailed. This reproducible and reliable approach for using microarrays should be applicable to any biological questions asked.
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References
Dimulescu, I., Unger, E. R., Lee, D. R., Reeves, W. C., and Vernon, S. D. (1998) Characterization of RNA in cytologic samples preserved in a methanol-based collection solution. Mol. Diagn. 3, 67–71.
Habis, A. H., Vernon, S. D., Lee, D. R., Verma, M., and Unger, E. R. (2004) Molecular quality of exfoliated cervical cells: implications for molecular epidemiology and biomarker discovery. Cancer Epidemiol. Biomarkers Prev. 13, 492–496.
Vernon, S. D., Unger, E. R., Dimulescu, I., Rajeevan, M., and Reeves, W. C. (2002) Utility of the blood for gene expression profiling and biomarker discovery in chronic fatigue syndrome. Dis. Markers 18, 193–199.
Whitney, A. R., Diehn, M., Popper, S. J., et al. (2003) Individuality and variation in gene expression patterns in human blood. Proc. Natl. Acad. Sci. USA 100, 1896–1901.
Baechler, E. C., Batliwalla, F. M., Karypis, G., et al. (2004) Expression levels for many genes in human peripheral blood cells are highly sensitive to ex vivo incubation. Genes Immun. 5, 347–353.
Ojaniemi, H., Evengard, B., Lee, D., Unger, E., and Vernon, S. (2003) Impact of RNA extraction from limited samples on microarray results. Biotechniques 35, 968–973.
Bao, P., Frutos, A. G., Greef, C., et al. (2002) High-sensitivity detection of DNA hybridization on microarrays using resonance light scattering. Anal. Chem. 74, 1792–1797.
Whistler, T., Jones, J. F., Unger, E. R., and Vernon, S. D. (2005) Exercise responsive genes measured in peripheral blood of women with chronic fatigue syndrome and matched control subjects. BMC Physiol. 5, 5.
Whistler, T., Unger, E. R., Nisenbaum, R., and Vernon, S. D. (2003) Integration of gene expression, clinical, and epidemiologic data to characterize chronic fatigue syndrome. J. Transl. Med. 1, 10.
Brazma, A., Hingamp, P., Quackenbush, J., et al. (2001) Minimum information about a microarray experiment (MIAME)-toward standards for microarray data. Nat. Genet. 29, 365–371.
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© 2007 Humana Press Inc., Totowa, NJ
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Vernon, S.D., Whistler, T. (2007). Microarray Technology for Use in Molecular Epidemiology. In: Rampal, J.B. (eds) Microarrays. Methods in Molecular Biology, vol 382. Humana Press. https://doi.org/10.1007/978-1-59745-304-2_7
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DOI: https://doi.org/10.1007/978-1-59745-304-2_7
Publisher Name: Humana Press
Print ISBN: 978-1-58829-944-4
Online ISBN: 978-1-59745-304-2
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