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      Pseudogenes regulate parental gene expression via ceRNA network

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          Abstract

          The concept of competitive endogenous RNA (ce RNA) was first proposed by Salmena and colleagues. Evidence suggests that pseudogene RNAs can act as a ‘sponge’ through competitive binding of common mi RNA, releasing or attenuating repression through sequestering mi RNAs away from parental mRNA. In theory, ce RNAs refer to all transcripts such as mRNA, tRNA, rRNA, long non‐coding RNA, pseudogene RNA and circular RNA, because all of them may become the targets of mi RNA depending on spatiotemporal situation. As binding of mi RNA to the target RNA is not 100% complementary, it is possible that one mi RNA can bind to multiple target RNAs and vice versa. All RNAs crosstalk through competitively binding to mi RNA via mi RNA response elements ( MREs) contained within the RNA sequences, thus forming a complex regulatory network. The ratio of a subset of mi RNAs to the corresponding number of MREs determines repression strength on a given mRNA translation or stability. An increase in pseudogene RNA level can sequester mi RNA and release repression on the parental gene, leading to an increase in parental gene expression. A massive number of transcripts constitute a complicated network that regulates each other through this proposed mechanism, though some regulatory significance may be mild or even undetectable. It is possible that the regulation of gene and pseudogene expression occurring in this manor involves all RNAs bearing common MREs. In this review, we will primarily discuss how pseudogene transcripts regulate expression of parental genes via ce RNA network and biological significance of regulation.

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          Most cited references47

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          A coding-independent function of gene and pseudogene mRNAs regulates tumour biology

          The canonical role of messenger RNA (mRNA) is to deliver protein-coding information to sites of protein synthesis. However, given that microRNAs bind to RNAs, we hypothesized that RNAs possess a biological role in cancer cells that relies upon their ability to compete for microRNA binding and is independent of their protein-coding function. As a paradigm for the protein-coding-independent role of RNAs, we describe the functional relationship between the mRNAs produced by the PTEN tumour suppressor gene and its pseudogene (PTENP1) and the critical consequences of this interaction. We find that PTENP1 is biologically active as determined by its ability to regulate cellular levels of PTEN, and that it can exert a growth-suppressive role. We also show that PTENP1 locus is selectively lost in human cancer. We extend our analysis to other cancer-related genes that possess pseudogenes, such as oncogenic KRAS. Further, we demonstrate that the transcripts of protein coding genes such as PTEN are also biologically active. Together, these findings attribute a novel biological role to expressed pseudogenes, as they can regulate coding gene expression, and reveal a non-coding function for mRNAs.
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            A pseudogene long noncoding RNA network regulates PTEN transcription and translation in human cells

            PTEN is a tumor suppressor gene that has been shown to be under the regulatory control of a PTEN pseudogene expressed noncoding RNA, PTENpg1. Here, we characterize a previously unidentified PTENpg1 encoded antisense RNA (asRNA), which regulates PTEN transcription and PTEN mRNA stability. We find two PTENpg1 asRNA isoforms, alpha and beta. The alpha isoform functions in trans, localizes to the PTEN promoter, and epigenetically modulates PTEN transcription by the recruitment of DNMT3a and EZH2. In contrast, the beta isoform interacts with PTENpg1 through an RNA:RNA pairing interaction, which affects PTEN protein output via changes of PTENpg1 stability and microRNA sponge activity. Disruption of this asRNA-regulated network induces cell cycle arrest and sensitizes cells to doxorubicin, suggesting a biological function for the respective PTENpg1 expressed asRNAs.
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              High-throughput assessment of microRNA activity and function using microRNA sensor and decoy libraries

              We introduce two large-scale resources for functional analysis of microRNA—a decoy/sponge library for inhibiting microRNA function and a sensor library for monitoring microRNA activity. To take advantage of the sensor library, we developed a high-throughput assay called Sensor-seq, which permits the activity of hundreds of microRNAs to be quantified simultaneously. Using this approach, we show that only the most abundant microRNAs within a cell mediate significant target suppression. Over 60% of detected microRNAs had no discernible activity, indicating that the functional ‘miRNome’ of a cell is considerably smaller than currently inferred from profiling studies. Moreover, some highly expressed microRNAs exhibit relatively weak activity, which in some cases correlated with a high target-to-microRNA ratio or increased nuclear localization of the microRNA. Finally, we show that the microRNA decoy library can be used for pooled loss-of-function studies. These tools provide valuable resources for studying microRNA biology and for microRNA-based therapeutics.
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                Author and article information

                Contributors
                jishaoping@hotmail.com
                Journal
                J Cell Mol Med
                J. Cell. Mol. Med
                10.1111/(ISSN)1582-4934
                JCMM
                Journal of Cellular and Molecular Medicine
                John Wiley and Sons Inc. (Hoboken )
                1582-1838
                1582-4934
                25 August 2016
                January 2017
                : 21
                : 1 ( doiID: 10.1111/jcmm.2017.21.issue-1 )
                : 185-192
                Affiliations
                [ 1 ] Department of Biochemistry and Molecular Biology Medical SchoolHenan University Henan ProvinceChina
                [ 2 ] College of Pharmacy and NutritionUniversity of Saskatchewan Saskatchewan SKCanada
                Author notes
                [*] [* ] Correspondence to: Shaoping Ji.

                E‐mail: jishaoping@ 123456hotmail.com

                Article
                JCMM12952
                10.1111/jcmm.12952
                5192809
                27561207
                861dacd0-168c-4fb4-9b6d-d74782164373
                © 2016 The Authors. Journal of Cellular and Molecular Medicine published by John Wiley & Sons Ltd and Foundation for Cellular and Molecular Medicine.

                This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 16 March 2016
                : 14 July 2016
                Page count
                Figures: 3, Tables: 0, Pages: 8, Words: 6737
                Funding
                Funded by: National Natural Science Foundation of China
                Award ID: 31371386
                Funded by: Program for Excellent Talents in Henan Province
                Award ID: 124200510010
                Categories
                Review
                Reviews
                Custom metadata
                2.0
                jcmm12952
                January 2017
                Converter:WILEY_ML3GV2_TO_NLMPMC version:5.0.0 mode:remove_FC converted:27.12.2016

                Molecular medicine
                gene expression,pseudogene,microrna,cerna
                Molecular medicine
                gene expression, pseudogene, microrna, cerna

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