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https://doi.org/10.1186/s13045-015-0129-1
Title: | Competing endogenous RNA networks: Tying the essential knots for cancer biology and therapeutics | Authors: | Sanchez-Mejias, A Tay, Y |
Keywords: | B Raf kinase competing endogenous rna long untranslated RNA messenger RNA microRNA microRNA 1 microRNA 101 microRNA 122 microRNA 182 mitogen activated protein kinase RNA small untranslated RNA transcription factor unclassified drug untranslated RNA RNA binding affinity biological model breast cancer cancer growth cancer research cancer therapy cellular distribution chromosome rearrangement colorectal cancer endometrium cancer gene control gene expression gene regulatory network glioblastoma human human development liver cancer lymphoma mathematical model melanoma molecular dynamics molecular interaction nonhuman prostate cancer regulatory mechanism Review somatic mutation stomach cancer upregulation animal gene expression regulation genetics neoplasm Animals Gene Expression Regulation, Neoplastic Gene Regulatory Networks Humans Neoplasms RNA |
Issue Date: | 2015 | Citation: | Sanchez-Mejias, A, Tay, Y (2015). Competing endogenous RNA networks: Tying the essential knots for cancer biology and therapeutics. Journal of Hematology and Oncology 8 (1) : 30. ScholarBank@NUS Repository. https://doi.org/10.1186/s13045-015-0129-1 | Abstract: | A recently discovered dimension of post-transcriptional gene regulation involves co-regulatory crosstalk between RNA transcripts, which compete for common pools of microRNA (miRNA) molecules. These competing endogenous RNAs (ceRNAs), or natural miRNA sponges, have an active role in regulating miRNA availability within the cell and form intertwined regulatory networks. Recent reports have implicated diverse RNA species including protein-coding messenger RNAs and non-coding RNAs as ceRNAs in human development and diseases including human cancer. In this review, we discuss the most recent discoveries that implicate natural miRNA decoys in human cancer biology, as well as exciting advances in the study of ceRNA networks and dynamics. The structure and topology of intricate genome-scale ceRNA networks can be predicted computationally, and their dynamic response to fluctuations in ceRNA and miRNA levels can be studied via mathematical modeling. Additionally, the development of new methods to quantitatively determine absolute expression levels of miRNA and ceRNA molecules have expanded the capacity to accurately study the efficiency of ceRNA crosstalk in diverse biological models. These major milestones are of critical importance to identify key components of ceRNA regulatory networks that could aid the development of new approaches to cancer diagnostics and oligonucleotide-based therapeutics. © 2015 Sanchez-Mejias and Tay; licensee BioMed Central. | Source Title: | Journal of Hematology and Oncology | URI: | https://scholarbank.nus.edu.sg/handle/10635/174139 | ISSN: | 17568722 | DOI: | 10.1186/s13045-015-0129-1 |
Appears in Collections: | Elements Staff Publications |
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