Abstract
Integrated analysis of miRNA expression and genomic changes in human breast tumors allows the classification of tumor subtypes.
Highlights
MicroRNAs, a class of short non-coding RNAs found in many plants and animals, often act post-transcriptionally to inhibit gene expression
We demonstrate that bead-based flow cytometric miRNA expression profiling might be a suitable platform to classify breast cancer into prognostic molecular subtypes
There are 133 miRNAs expressed in normal human breast and primary human breast cancer To generate a comprehensive set of miRNA expression profiles for primary human breast cancer we selected 99 primary human tumors, 5 normal breast samples and 33 breast cancer cell lines for miRNA expression profiling
Summary
MicroRNAs (miRNAs), a class of short non-coding RNAs found in many plants and animals, often act post-transcriptionally to inhibit gene expression. MiRNAs are approximately 22-nucleotide non-coding RNAs that are thought to regulate gene expression through sequence-specific base-pairing with target mRNAs [6]. Pre-miRNAs are exported from the nucleus by Exportin-5 [24], processed by the RNase III enzyme Dicer, and incorporated into an Argonaute-containing RNA-induced silencing complex (RISC) [25]. MiRNAs pair to the messages of protein-coding genes, usually through imperfect base-pairing with the 3'-untranslated region (3'UTR), thereby specifying the post-transcriptional repression of these target mRNAs [6,26]. Binding of the silencing complex causes translational repression [27,28,29] and/or mRNA destabilization, which is sometimes through direct mRNA cleavage [30,31] but usually through other mechanisms [32,33,34,35,36]
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