Figure 1
From: Genome-wide gene-expression patterns of donor kidney biopsies distinguish primary allograft function
Hierarchical clustering of LIV-PF, CAD-PGF and CAD-ARF. Hierarchical clustering of the full 32-sample data set (a). Live donor kidneys clearly separate from the cadaveric donor renal samples. After adjustment for multiple comparisons, 132 genes could be identified as being significantly differentially expressed between these groups. The cadaveric samples did not clearly separate into CAD-PF and CAD-ARF groups. Especially CAD-PF #6–12, indicated by the gray underscore, clustered into the ARF group. Of note, left and right kidney from the same cadaveric donor are #CAD-ARF1 and CAD-PF5; CAD-PF8 and 9; CAD-PF 11 and 12, indicated by the gray rectangular background. Hierarchical clustering of the processed data set holding 24 samples (b). After maxT correction for multiple comparisons, 48 genes remained significantly differentially regulated between the CAD-PF and CAD-ARF groups. Genetic profiling correctly predicted early allograft function in all 12 LIV-PF kidneys, five of 12 CAD-PF kidneys and seven of eight CAD-ARF kidneys (exception CAD-ARF1). If ARF was defined less stringent, for example, no optimal function within the first 3 days, additional four CAD-PF would become CAD-ARF kidneys and thus would have been correctly ranked.
