GEOapplication/xmlftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE87nnn/GSE87301/primaryOK2000000GenomicsHomo sapiensExpression profiling by arrayhttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE87301GEOGSE0falseWhite Blood Cell Differentials Enrich Whole Blood Expression Data in the Context of Acute Cardiac Allograft RejectionAcute cardiac allograft rejection is a serious complication of heart transplantation. Investigating molecular processes in whole blood via microarrays is a promising avenue of research in transplantation, particularly due to the non-invasive nature of blood sampling. However, whole blood is a complex tissue and the consequent heterogeneity in composition amongst samples is ignored in traditional microarray analysis. This complicates the biological interpretation of microarray data. Here we have applied a statistical deconvolution approach, cell-specific significance analysis of microarrays (csSAM), to whole blood samples from subjects either undergoing acute heart allograft rejection (AR) or not (NR). We identified eight differentially expressed probe-sets significantly correlated to monocytes (mapping to 6 genes, all down-regulated in ARs versus NRs) at a false discovery rate (FDR) <= 15%. None of the genes identified are present in a biomarker panel of acute heart rejection previously published by our group and discovered in the same data.2016/09/24GSE87301GSM2327587GSM2327586GSM2327600GSM2327589GSM2327588GSM2327602GSM2327601GSM2327604GSM2327603GSM2327606GSM2327605GSM2327608GSM2327607GSM2327609GSM2327590GSM2327592GSM2327591GSM2327594GSM2327593GSM2327596GSM2327595GSM2327598GSM2327597GSM2327611GSM2327599GSM232761057087301Homo sapiens[22550401]