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Optimizing microarray in experimental hypertension

dc.contributor.authorShannon, M Frances
dc.contributor.authorMcKenzie, Katja
dc.contributor.authorEdgley, Amanda
dc.contributor.authorRao, Sudha
dc.contributor.authorPeng, Kaimen
dc.contributor.authorShweta, Amany
dc.contributor.authorSchyvens, Chris
dc.contributor.authorAnderson, Warwick P
dc.contributor.authorWilson, Susan
dc.contributor.authorPittelkow, Yvonne
dc.contributor.authorOhms, Stephen J
dc.contributor.authorWhitworth, Judith
dc.date.accessioned2015-12-13T22:27:29Z
dc.date.issued2005
dc.date.updated2015-12-11T08:32:21Z
dc.description.abstractBackground. Genetic noise between outbred animals can potentially be a major confounder in the use of microarray technology for gene expression profiling. The study of paired organs from the same animal offers an alternative approach (e.g., for studies of the kidney in experimental hypertension). The present study was undertaken to determine the level of genetic noise between outbred adult Sprague-Dawley (SD) rats, and to determine the effects of unilateral nephrectomy on changes in gene expression as a basis for the design of microarray studies in experimental hypertension. Methods. Male SD rats (approximately 130 g) were acclimatized before measurement of tail-cuff systolic blood pressure (SBP) for 6 control days and 4 days of saline treatment. Left kidney nephrectomy was performed, and the tissue snap-frozen in liquid nitrogen for subsequent RNA extraction. Two weeks later, SBP was measured over 4 control and 8 saline treatment days, and the remaining right kidney removed and frozen. Total RNA purification, preparation of cRNA, hybridization, and scanning of the Rat U34A Affymetrix arrays were performed, and data analyzed using MASS software Affymetrix Suite (v5), Bioconductor, as well as statistical methods motivated by relevant simulations. Results. Gene expression profiles in the left control kidney were extremely consistent across animals. The expression profiles of pairs of kidneys from the same animal were, however, more similar than those of kidneys from different animals. Nephrectomy had little effect on the gene expression profiles in the time frame examined. Conclusion. Despite the outbred nature of the rats used in this study, they are useful for gene expression profiling comparisons. The use of paired organs from an individual animal ensures even further genetic identity, allowing determination of genes modified by the treatment of interest.
dc.identifier.issn0085-2538
dc.identifier.urihttp://hdl.handle.net/1885/73966
dc.publisherBlackwell Publishing Ltd
dc.sourceKidney International
dc.subjectKeywords: RNA; animal model; animal tissue; article; controlled study; DNA microarray; gene expression; gene expression profiling; genetic analysis; genetic variability; hypertension; male; nephrectomy; nonhuman; priority journal; rat; systolic blood pressure; tech Biplot; Experimental hypertension; Gene expression; Microarray; Nephrectomy; Rat
dc.titleOptimizing microarray in experimental hypertension
dc.typeJournal article
local.bibliographicCitation.lastpage370
local.bibliographicCitation.startpage364
local.contributor.affiliationShannon, M Frances, College of Medicine, Biology and Environment, ANU
local.contributor.affiliationMcKenzie, Katja, College of Medicine, Biology and Environment, ANU
local.contributor.affiliationEdgley, Amanda, Monash University
local.contributor.affiliationRao, Sudha, College of Medicine, Biology and Environment, ANU
local.contributor.affiliationPeng, Kaimen, College of Medicine, Biology and Environment, ANU
local.contributor.affiliationShweta, Amany, Monash University
local.contributor.affiliationSchyvens, Chris, College of Medicine, Biology and Environment, ANU
local.contributor.affiliationAnderson, Warwick P, Monash University
local.contributor.affiliationWilson, Susan, College of Physical and Mathematical Sciences, ANU
local.contributor.affiliationPittelkow, Yvonne, College of Physical and Mathematical Sciences, ANU
local.contributor.affiliationOhms, Stephen J, College of Medicine, Biology and Environment, ANU
local.contributor.affiliationWhitworth, Judith, College of Medicine, Biology and Environment, ANU
local.contributor.authoruidShannon, M Frances, u9806896
local.contributor.authoruidMcKenzie, Katja, u8904955
local.contributor.authoruidRao, Sudha, u9911429
local.contributor.authoruidPeng, Kaimen, u4047938
local.contributor.authoruidSchyvens, Chris, u9913967
local.contributor.authoruidWilson, Susan, u7401449
local.contributor.authoruidPittelkow, Yvonne, u7500275
local.contributor.authoruidOhms, Stephen J, u9715196
local.contributor.authoruidWhitworth, Judith, u9910403
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor111601 - Cell Physiology
local.identifier.ariespublicationMigratedxPub3910
local.identifier.citationvolume67
local.identifier.doi10.1111/j.1523-1755.2005.00090.x
local.identifier.scopusID2-s2.0-19944407562
local.type.statusPublished Version

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