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Circulation Research. 2001;88:1226-1227
doi: 10.1161/hh1201.093165
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(Circulation Research. 2001;88:1226.)
© 2001 American Heart Association, Inc.


Editorial

Microarrays

Managing the Data Deluge

J. Sunil Rao, Meredith Bond

From the Departments of Biostatistics and Epidemiology (J.S.R.) and Physiology and Biophysics (M.B.), School of Medicine, Case Western Reserve University and the Department of Molecular Cardiology (M.B.), Lerner Research Institute, The Cleveland Clinic Foundation, Cleveland, Ohio.

Correspondence to Meredith Bond, PhD, Department of Molecular Cardiology/NB50, Lerner Research Institute, The Cleveland Clinic Foundation, 9500 Euclid Ave, Cleveland, OH 44195. E-mail bondm@ccf.org


Key Words: microarrays • statistical analysis • cDNA • cardiac remodeling

Over the last 10 to 20 years, the search for mechanisms responsible for cardiac remodeling during cardiac hypertrophy and failure has been hampered by the experimental tools available (primarily Western blot analysis and polymerase chain reaction). This is because these approaches only permit measurement of the expression levels of a few preselected genes at one time. However, there is increasing evidence that at the molecular level the changes that occur during development of heart failure represent a complex series of interrelated events.1 2 3 Thus, to identify the full scope and complexity of the subcellular changes that take place and thus make more rapid progress in identifying causes and cures of heart disease, we must depend on emerging high-throughput gene-profiling technologies. These newer approaches permit expression screening of very large numbers of genes simultaneously and then clustering of the results into functional gene families.4 5 As stated by Weinstein et al,6 "We will have to understand our favorite biological molecule in the context of many thousands of others ... a wide net must be cast to be sure that we have, in fact, found the important ones ..." (p. 627).

Both cDNA7 and oligonucleotide arrays8 permit an unbiased assessment (ie, no preselection required) of expression levels of thousands of full-length genes, cDNAs, or expressed sequence tags. In a relatively short period of time, high-density cDNA and oligonucleotide arrays have become almost household words in gene expression studies. Both off-the-shelf and customized arrays are increasingly finding their way into the tool chest of heart . . . [Full Text of this Article]




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