Abstract
Microarrays offer a powerful approach to the analysis of gene expression that can be used for a wide variety of experimental purposes. However, there are several types of microarray platforms that are available. In addition, microarray experiments are expensive and generate complicated data sets that can be difficult to interpret. Success with microarray approaches requires a sound experimental design and a coordinated and appropriate use of statistical tools. Here, the advantages and pitfalls of utilizing microarrays are discussed, as are practical strategies to help novice users succeed with this method that can empower them with the ability to assay changes in gene expression at the whole genome level.
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Acknowledgments
S.A.N. is supported by grants from the USPHS/National Cancer Institute (#RO1 CA058443 and #R01 CA105257) and by institutional support from the University of New Mexico Health Sciences Center and is Director of the Keck-UNM Genomics Resource, a microarray and gene expression analysis facility supported by a grant from the W.M. Keck Foundation as well as the State of New Mexico and the UNM Cancer Research and Treatment Center. The author thanks Dr. Gavin G. Pickett for helpful discussions and comments on the manuscript.
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Ness, S.A. Microarray analysis: basic strategies for successful experiments. Mol Biotechnol 36, 205–219 (2007). https://doi.org/10.1007/s12033-007-0012-6
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DOI: https://doi.org/10.1007/s12033-007-0012-6