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Absent MicroRNAs in Different Tissues of Patients with Acquired Cardiomyopathy.

Authors
  • Siegismund, Christine S1
  • Rohde, Maria1
  • Kühl, Uwe2
  • Escher, Felicitas2
  • Schultheiss, Heinz Peter1
  • Lassner, Dirk3
  • 1 Institute for Cardiac Diagnostics and Therapy (IKDT), 12203 Berlin, Germany. , (Germany)
  • 2 Institute for Cardiac Diagnostics and Therapy (IKDT), 12203 Berlin, Germany; Department of Cardiology, Campus Virchow, Charité - University Hospital Berlin, 13353 Berlin, Germany. , (Germany)
  • 3 Institute for Cardiac Diagnostics and Therapy (IKDT), 12203 Berlin, Germany. Electronic address: [email protected] , (Germany)
Type
Published Article
Journal
Genomics, proteomics & bioinformatics
Publication Date
Aug 01, 2016
Volume
14
Issue
4
Pages
224–234
Identifiers
DOI: 10.1016/j.gpb.2016.04.005
PMID: 27475403
Source
Medline
Keywords
License
Unknown

Abstract

MicroRNAs (miRNAs) can be found in a wide range of tissues and body fluids, and their specific signatures can be used to determine diseases or predict clinical courses. The miRNA profiles in biological samples (tissue, serum, peripheral blood mononuclear cells or other body fluids) differ significantly even in the same patient and therefore have their own specificity for the presented condition. Complex profiles of deregulated miRNAs are of high interest, whereas the importance of non-expressed miRNAs was ignored. Since miRNAs regulate gene expression rather negatively, absent miRNAs could indicate genes with unaltered expression that therefore are normally expressed in specific compartments or under specific disease situations. For the first time, non-detectable miRNAs in different tissues and body fluids from patients with different diseases (cardiomyopathies, Alzheimer's disease, bladder cancer, and ocular cancer) were analyzed and compared in this study. miRNA expression data were generated by microarray or TaqMan PCR-based platforms. Lists of absent miRNAs of primarily cardiac patients (myocardium, blood cells, and serum) were clustered and analyzed for potentially involved pathways using two prediction platforms, i.e., miRNA enrichment analysis and annotation tool (miEAA) and DIANA miRPath. Extensive search in biomedical publication databases for the relevance of non-expressed miRNAs in predicted pathways revealed no evidence for their involvement in heart-related pathways as indicated by software tools, confirming proposed approach.

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