Abstract
Competing endogenous RNAs (ceRNAs) are kinds of RNAs that regulate each other at post-transcription level through competing for miRNA regulators. CeRNA-ceRNA networks provide another type of function for protein-coding mRNAs, which link non-coding RNAs such as miRNA, long non-coding RNA, pseudogenes and circular RNAs. In this chapter, we will introduce the definition of ceRNAs, mainly provide the computational method to predict ceRNA interactions in general condition and complex diseases. In addition, we also illustrated several computational methods that are commonly used to identify the perturbed ceRNA networks in human diseases compared to normal conditions. Finally, we also summarized the principles of methods that integrated ceRNA theory to identify human disease biomarkers. Understanding of RNA-RNA crosstalk will provide significant insights into gene regulatory network that has been implicated in human development and/or diseases.
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Li, Y., Huo, C., Lin, X., Xu, J. (2018). Computational Identification of Cross-Talking ceRNAs. In: Li, X., Xu, J., Xiao, Y., Ning, S., Zhang, Y. (eds) Non-coding RNAs in Complex Diseases. Advances in Experimental Medicine and Biology, vol 1094. Springer, Singapore. https://doi.org/10.1007/978-981-13-0719-5_10
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DOI: https://doi.org/10.1007/978-981-13-0719-5_10
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