Please use this identifier to cite or link to this item: 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
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