Abstract
Hypertension is a complex disorder in which multiple genes, pathways, and organ systems simultaneously interact to contribute to the final level of blood pressure. Fully elucidating these interactions is an important area of hypertension research and one in which high-throughput methods such as microarrays can play a key role. With recent advances in microarray technology, reliable and accurate quantification of all known mRNA transcripts in a sample is now routinely performed. In addition, with improved statistical methods and publicly available tools and resources, robust analysis of the large amount of data generated from microarray experiments is now achievable for all research laboratories as will be outlined in this review.
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Acknowledgment
This work was supported through research grants from the NIH to CDS (HL084207, HL048058, HL061446, HL062984, and NS024621). The authors also gratefully acknowledge the generous research support of the Roy J. Carver Trust.
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Keen, H.L., Sigmund, C.D. (2017). Microarray Analysis of Hypertension. In: Touyz, R., Schiffrin, E. (eds) Hypertension. Methods in Molecular Biology, vol 1527. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-6625-7_3
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DOI: https://doi.org/10.1007/978-1-4939-6625-7_3
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