Chapter title |
Microarray Analysis of Hypertension
|
---|---|
Chapter number | 3 |
Book title |
Hypertension
|
Published in |
Methods in molecular biology, January 2017
|
DOI | 10.1007/978-1-4939-6625-7_3 |
Pubmed ID | |
Book ISBNs |
978-1-4939-6623-3, 978-1-4939-6625-7
|
Authors |
Henry L. Keen Ph.D., Curt D. Sigmund Ph.D., Henry L. Keen, Curt D. Sigmund |
Editors |
Rhian M. Touyz, Ernesto L. Schiffrin |
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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Geographical breakdown
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Unknown | 4 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 1 | 25% |
Professor > Associate Professor | 1 | 25% |
Unknown | 2 | 50% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 1 | 25% |
Computer Science | 1 | 25% |
Unknown | 2 | 50% |