Abstract
MicroRNAs (miRNAs) play important roles in a variety of human diseases, including breast cancer. A number of miRNAs are up- and down-regulated in breast cancer. However, little is known about miRNA similarity and similarity network in breast cancer. Here, a collection of 272 breast cancer-associated miRNA precursors (pre-miRNAs) were utilized to calculate similarities of sequences, target genes, pathways and functions and construct a combined similarity network. Well-characterized miRNAs and their similarity network were highlighted. Interestingly, miRNA sequence-dependent similarity networks were not identified in spite of sequence–target gene association. Similarity networks with minimum and maximum number of miRNAs originate from pathway and mature sequence, respectively. The breast cancer-associated miRNAs were divided into seven functional classes (classes I–VII) followed by disease enrichment analysis and novel miRNA-based disease similarities were found. The finding would provide insight into miRNA similarity, similarity network and disease heterogeneity in breast cancer.
Highlights
MicroRNAs are endogenous non-coding RNAs with ∼22 nucleotides in length and inhibit target genes at the post-transcriptional level
A combined similarity network was constructed based on mature sequences, target genes, pathways and functions and enabled a classification of breast cancer-associated miRNAs
MiRNA similarity network is useful for functional annotation of novel miRNA, miRNA–disease association and classification in a unique disease
Summary
MicroRNAs (miRNAs) are endogenous non-coding RNAs with ∼22 nucleotides in length and inhibit target genes at the post-transcriptional level. Many human miRNAs have been recognized as gene regulators in physiological and pathophysiological conditions. MiRNAs have a pleiotropic effect and synergistically inhibit their target genes. MiRNA synergistic networks have been constructed based on target genes, GO, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway, PPI network and transcriptional regulation [9,10,11,12]. These methods and networks could shed light on function and synergism of miRNAs
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
