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Micro RNAs(mi RNAs) can be found in a wide range of tissues and body ?uids, and their speci?c signatures can be used to determine diseases or predict clinical courses. The mi RNA pro?les in biological samples(tissue, serum, peripheral blood mononuclear cells or other body ?uids) differ signi?cantly even in the same patient and therefore have their own speci?city for the presented condition. Complex pro?les of deregulated mi RNAs are of high interest, whereas the importance of non-expressed mi RNAs was ignored. Since mi RNAs regulate gene expression rather negatively,absent mi RNAs could indicate genes with unaltered expression that therefore are normally expressed in speci?c compartments or under speci?c disease situations. For the ?rst time,non-detectable mi RNAs in different tissues and body ?uids from patients with different diseases(cardiomyopathies, Alzheimer’s disease, bladder cancer, and ocular cancer) were analyzed and compared in this study. mi RNA expression data were generated by microarray or Taq Man PCR-based platforms. Lists of absent mi RNAs of primarily cardiac patients(myocardium, blood cells, and serum) were clustered and analyzed for potentially involved pathways using two prediction platforms, i.e., mi RNA enrichment analysis and annotation tool(mi EAA) and DIANA mi RPath.Extensive search in biomedical publication databases for the relevance of non-expressed mi RNAs in predicted pathways revealed no evidence for their involvement in heart-related pathways as indicated by software tools, con?rming proposed approach.
MicroRNAs (mi RNAs) can be found in a wide range of tissues and bodies? Uids, and their speci? C signatures can be used to determine diseases or predict clinical courses. The mi RNA pro? Les in biological samples , peripheral blood mononuclear cells or other body? uids) differ signi? cantly even in the same patient and therefore have their own speci? city for the presented condition. complex pro? les of deregulated miRNAs are of high interest, but the importance of Since mi RNAs regulate gene expression rather negatively, absent mi RNAs could indicate genes with unaltered expression that therefore are normally expressed in speci? c compartments or under speci? c disease situations. For the? rst time, non-detectable mi RNAs in different tissues and body? uids from patients with different diseases (cardiomyopathies, Alzheimer’s disease, bladder cancer, and ocular cancer) were analyzed and compared in this study. mi RNA expression data were generat ed by microarray or Taq Man PCR-based platforms. Lists of absent mi RNAs of primarily cardiac patients (myocardium, blood cells, and serum) were clustered and analyzed for potentially involved pathways using two prediction platforms, ie, mi RNA enrichment analysis and annotation tool (mi EAA) and DIANA mi RPath. Extensive search in biomedical publication databases for the relevance of non-expressed mi RNAs in predicted pathways revealed no evidence for their involvement in heart-related pathways as indicated by software tools, con? rming proposed approach .