nnel of the universal reference pool. Global normalization methods could not be applied, since the dynamic range differed substantially between samples and the reference. Additionally, synthetic spike-in control oligonucleotides MiRNA Expression and Function in Pediatric AML Results miRNAs function as biomarker in pediatric AML We analyzed miRNA expression profiles of 102 pediatric AML patients in order to identify Odanacatib chemical information differentially expressed miRNAs discriminating between different pediatric AML subtypes. We used a previously described and validated miRNA microarray platform. Unsupervised clustering divided patient samples into four major groups using solely miRNA expression data. Pediatric AML samples carrying translocation t and t were completely separated from each other on the basis of their miRNA expression profiles, despite the great heterogeneity of all leukemia samples. In contrast, six adult AML patient samples with translocation t and t grouped together in a single cluster within Cluster 2 indicating a difference in their miRNA profiles, but mainly for the t group. The MLL-rearranged samples were distributed in Cluster 1 and 3 together with inv. Independently, the nearest shrunken centroid method using the predictive analysis of microarray algorithm on the whole dataset identified class predictors for t, t and MLL rearranged 20666436 AML patient sample, but not for the other cytogenetic subtypes. We identified a total of 15 miRNAs being significantly differentially expressed between MLL-rearranged and all other samples using the Mann-Whitney-U test. Among them, the previously identified miR-196b was expressed in 25 out of 33 MLL-rearranged patient samples with median expression strength of,30 pmol/mg total RNA, while this miRNA was expressed in only 12 out of 69 non-MLL-rearranged samples albeit at slightly higher expression levels. Since we obtained 31 samples from blasts of peripheral blood specimen we analyzed the influence of blast origin on sample clustering. However, blast origin from either primary bone marrow or primary peripheral blood has no influence on clustering, possibly due to high blast content of the peripheral blood 22754608 samples. Since translocation t and t were most distinct from each other in unsupervised hierarchical clustering, we identified differentially expressed miRNAs between these two groups and in comparison to all others. miR-27a, -126, -150 and miR-223 were significantly higher expressed in t-positive pediatric AML samples in comparison to t-positive samples. Conversely, miR-21, previously termed onco-mirdue to frequent deregulation in several solid cancers, was significantly lower expressed in t-positive samples in comparison to t and all other cytogenetic subtypes. miR-100 was 10-fold more abundant in t-positive leukemia than in any other cytogenetic subtype. Other differentially regulated 
miRNAs are given in addition to the supervised prediction of MLL- rearranged patient samples based on the differential expression of just a few miRNAs. Global identification of miRNA and miRNA-targets in AML cell line models reveal varying binding preferences for different Argonaute proteins As miRNAs execute their regulatory function in the RNAinduced silencing complex containing one of the four human Argonaute proteins as core component, we biochemically isolated the Argonaute targeting complex and identified Ago-associated miRNAs and mRNAs. We chose the KASUMI-1 and NB4 cell lines because they also carry the translocations
