1651
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Kornienko AE, Guenzl PM, Barlow DP, Pauler FM. Gene regulation by the act of long non-coding RNA transcription. BMC Biol 2013; 11:59. [PMID: 23721193 PMCID: PMC3668284 DOI: 10.1186/1741-7007-11-59] [Citation(s) in RCA: 561] [Impact Index Per Article: 46.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2013] [Accepted: 05/15/2013] [Indexed: 12/20/2022] Open
Abstract
Long non-protein-coding RNAs (lncRNAs) are proposed to be the largest transcript class in the mouse and human transcriptomes. Two important questions are whether all lncRNAs are functional and how they could exert a function. Several lncRNAs have been shown to function through their product, but this is not the only possible mode of action. In this review we focus on a role for the process of lncRNA transcription, independent of the lncRNA product, in regulating protein-coding-gene activity in cis. We discuss examples where lncRNA transcription leads to gene silencing or activation, and describe strategies to determine if the lncRNA product or its transcription causes the regulatory effect.
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Affiliation(s)
- Aleksandra E Kornienko
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Lazarettgasse 14, AKH-BT25,3, 1090, Vienna, Austria
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1652
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Sharma V, Misteli T. Non-coding RNAs in DNA damage and repair. FEBS Lett 2013; 587:1832-9. [PMID: 23684639 DOI: 10.1016/j.febslet.2013.05.006] [Citation(s) in RCA: 69] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2013] [Revised: 05/03/2013] [Accepted: 05/06/2013] [Indexed: 02/07/2023]
Abstract
Non-coding RNAs (ncRNAs) are increasingly recognized as central players in diverse biological processes. Upon DNA damage, the DNA damage response (DDR) elicits a complex signaling cascade, which includes the induction of multiple ncRNA species. Recent studies indicate that DNA-damage induced ncRNAs contribute to regulation of cell cycle, apoptosis and DNA repair, and thus play a key role in maintaining genome stability. This review summarizes the emerging role of ncRNAs in DNA damage and repair.
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Affiliation(s)
- Vivek Sharma
- National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
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1653
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Ghosal S, Das S, Chakrabarti J. Long noncoding RNAs: new players in the molecular mechanism for maintenance and differentiation of pluripotent stem cells. Stem Cells Dev 2013; 22:2240-53. [PMID: 23528033 DOI: 10.1089/scd.2013.0014] [Citation(s) in RCA: 87] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Maintenance of the pluripotent state or differentiation of the pluripotent state into any germ layer depends on the factors that orchestrate expression of thousands of genes through epigenetic, transcriptional, and post-transcriptional regulation. Long noncoding RNAs (lncRNAs) are implicated in the complex molecular circuitry in the developmental processes. The ENCODE project has opened up new avenues for studying these lncRNA transcripts with the availability of new datasets for lncRNA annotation and regulation. Expression studies identified hundreds of long noncoding RNAs differentially expressed in the pluripotent state, and many of these lncRNAs are found to control the pluripotency and stemness in embryonic and induced pluripotent stem cells or, in the reverse way, promote differentiation of pluripotent cells. They are generally transcriptionally activated or repressed by pluripotency-associated transcription factors and function as molecular mediators of gene expression that determine the pluripotent state of the cell. They can act as molecular scaffolds or guides for the chromatin-modifying complexes to direct them to bind into specific genomic loci to impart a repressive or activating effect on gene expression, or they can transcriptionally or post-transcriptionally regulate gene expression by diverse molecular mechanisms. This review focuses on recent findings on the regulatory role of lncRNAs in two main aspects of pluripotency, namely, self renewal and differentiation into any lineage, and elucidates the underlying molecular mechanisms that are being uncovered lately.
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Affiliation(s)
- Suman Ghosal
- Indian Association for the Cultivation of Science, Kolkata, India
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1654
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Overexpression of long noncoding RNA PCAT-1 is a novel biomarker of poor prognosis in patients with colorectal cancer. Med Oncol 2013; 30:588. [PMID: 23640607 DOI: 10.1007/s12032-013-0588-6] [Citation(s) in RCA: 159] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2013] [Accepted: 04/14/2013] [Indexed: 12/16/2022]
Abstract
Long noncoding RNAs (lncRNA) are emerging as key molecules in human cancer. Prostate cancer-associated ncRNA transcripts 1 (PCAT-1), a lncRNA, has been recently revealed involving in human prostate cancer progression. However, whether PCAT-1 could serve as novel biomarker to predict prognosis in colorectal cancer (CRC) or not is unknown. We therefore carried out the present study to explore the correlation between PCAT-1 expression and the progression of CRC. In this study, the expression of PCAT-1 in 108 cases of CRC tissues and matched 81 adjacent normal tissues were determined by quantitative real-time PCR. Furthermore, the copy number variation of PCAT-1 was also measured in 17 tumor tissues and matched normal tissues. Our results showed that PCAT-1 expression in CRC tissues was significantly upregulated compared with the matched normal tissues (p < 0.001) and the overexpression of PCAT-1(upregulated by more than 50 %) was found in 64 % (62/81) of CRC. Moreover, PCAT-1 gene copy number variation explains only a few percent of observed overexpression. In addition, there was a significant association between PCAT-1 expression and distant metastasis (p = 0.04), but not other clinical characteristics. More important, CRC patients with PCAT-1 higher expression have shown significantly poorer overall survival than those with lower PCAT-1 expression (p < 0.001). Also, multivariable Cox regression analysis identified PCAT-1 overexpression as an independent prognostic factor for CRC (p = 0.007, HR = 3.12 95 %CI = 1.355-7.185). In conclusion, our results suggest that high expression of PCAT-1 is involved in CRC progression and could be a novel biomarker of poor prognosis in patient with colorectal cancer.
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1655
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Huang JF, Guo YJ, Zhao CX, Yuan SX, Wang Y, Tang GN, Zhou WP, Sun SH. Hepatitis B virus X protein (HBx)-related long noncoding RNA (lncRNA) down-regulated expression by HBx (Dreh) inhibits hepatocellular carcinoma metastasis by targeting the intermediate filament protein vimentin. Hepatology 2013; 57:1882-92. [PMID: 23239537 DOI: 10.1002/hep.26195] [Citation(s) in RCA: 275] [Impact Index Per Article: 22.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2012] [Accepted: 12/01/2012] [Indexed: 12/11/2022]
Abstract
UNLABELLED The hepatitis B virus X protein (HBx) has been implicated as an oncogene in both epigenetic modifications and genetic regulation during hepatocarcinogenesis, but the underlying mechanisms are not entirely clear. Long noncoding RNAs (lncRNAs), which regulate gene expression with little or no protein-coding capacity, are involved in diverse biological processes and in carcinogenesis. We asked whether HBx could promote hepatocellular carcinoma (HCC) by regulating the expression of lncRNAs. In this study we investigated the alteration in expression of lncRNAs induced by HBx using microarrays and real-time quantitative polymerase chain reaction (PCR). Our results indicate that HBx transgenic mice have a specific profile of liver lncRNAs compared with wildtype mice. We identified an lncRNA, down-regulated expression by HBx (termed lncRNA-Dreh), which can inhibit HCC growth and metastasis in vitro and in vivo, act as a tumor suppressor in the development of hepatitis B virus (HBV)-HCC. LncRNA-Dreh could combine with the intermediate filament protein vimentin and repress its expression, and thus further change the normal cytoskeleton structure to inhibit tumor metastasis. We also identified a human ortholog RNA of Dreh (hDREH) and found that its expression level was frequently down-regulated in HBV-related HCC tissues in comparison with the adjacent noncancerous hepatic tissues, and its decrement significantly correlated with poor survival of HCC patients. CONCLUSION These findings support a role of lncRNA-Dreh in tumor suppression and survival prediction in HCC patients. This discovery contributes to a better understanding of the importance of the deregulated lncRNAs by HBx in HCC and provides a rationale for the potential development of lncRNA-based targeted approaches for the treatment of HBV-related HCC.
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Affiliation(s)
- Jin-feng Huang
- The Department of Medical Genetics, Second Military Medical University, Shanghai, China
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1656
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Expression pattern of small nucleolar RNA host genes and long non-coding RNA in X-rays-treated lymphoblastoid cells. Int J Mol Sci 2013; 14:9099-110. [PMID: 23698766 PMCID: PMC3676775 DOI: 10.3390/ijms14059099] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2013] [Revised: 04/19/2013] [Accepted: 04/22/2013] [Indexed: 01/02/2023] Open
Abstract
A wide variety of biological effects are induced in cells that are exposed to ionizing radiation. The expression changes of coding mRNA and non-coding micro-RNA have been implicated in irradiated cells. The involvement of other classes of non-coding RNAs (ncRNA), such as small nucleolar RNAs (snoRNAs), long ncRNAs (lncRNAs), and PIWI-interacting RNAs (piRNAs) in cells recovering from radiation-induced damage has not been examined. Thus, we investigated whether these ncRNA were undergoing changes in cells exposed to ionizing radiation. The modulation of ncRNAs expression was determined in human TK6 (p53 positive) and WTK1 (p53 negative) cells. The snoRNA host genes SNHG1, SNHG6, and SNHG11 were induced in TK6 cells. In WTK1 cells, SNHG1 was induced but SNHG6, and SNHG11 were repressed. SNHG7 was repressed in TK6 cells and was upregulated in WTK1 cells. The lncRNA MALAT1 and SOX2OT were induced in both TK6 and WTK1 cells and SRA1 was induced in TK6 cells only. Interestingly, the MIAT and PIWIL1 were not expressed in TK6 cells before or after the ionizing radiation treatment. The MIAT and PIWIL1 were upregulated in WTK1 cells. This data provides evidence that altered ncRNA expression is a part of the complex stress response operating in radiation-treated cells and this response depends on functional p53.
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Abstract
In this issue of Molecular Cell, Yin et al. (2012) identify a class of long noncoding RNAs (lncRNAs) and propose a new mechanism as to how they contribute to the pathogenesis of Prader-Willi syndrome.
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Affiliation(s)
- Kathleen L McCann
- Department of Genetics, Yale University School of Medicine, New Haven, CT 06520, USA
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1658
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Chen G, Wang C, Shi L, Qu X, Chen J, Yang J, Shi C, Chen L, Zhou P, Ning B, Tong W, Shi T. Incorporating the human gene annotations in different databases significantly improved transcriptomic and genetic analyses. RNA (NEW YORK, N.Y.) 2013; 19:479-89. [PMID: 23431329 PMCID: PMC3677258 DOI: 10.1261/rna.037473.112] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/23/2012] [Accepted: 01/14/2013] [Indexed: 05/18/2023]
Abstract
Human gene annotation is crucial for conducting transcriptomic and genetic studies; however, the impacts of human gene annotations in diverse databases on related studies have been less evaluated. To enable full use of various human annotation resources and better understand the human transcriptome, here we systematically compare the human annotations present in RefSeq, Ensembl (GENCODE), and AceView on diverse transcriptomic and genetic analyses. We found that the human gene annotations in the three databases are far from complete. Although Ensembl and AceView annotated more genes than RefSeq, more than 15,800 genes from Ensembl (or AceView) are within the intergenic and intronic regions of AceView (or Ensembl) annotation. The human transcriptome annotations in RefSeq, Ensembl, and AceView had distinct effects on short-read mapping, gene and isoform expression profiling, and differential expression calling. Furthermore, our findings indicate that the integrated annotation of these databases can obtain a more complete gene set and significantly enhance those transcriptomic analyses. We also observed that many more known SNPs were located within genes annotated in Ensembl and AceView than in RefSeq. In particular, 1033 of 3041 trait/disease-associated SNPs involved in about 200 human traits/diseases that were previously reported to be in RefSeq intergenic regions could be relocated within Ensembl and AceView genes. Our findings illustrate that a more complete transcriptome generated by incorporating human gene annotations in diverse databases can strikingly improve the overall results of transcriptomic and genetic studies.
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Affiliation(s)
- Geng Chen
- Center for Bioinformatics and Computational Biology, Shanghai Key Laboratory of Regulatory Biology, the Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai 200241, China
| | - Charles Wang
- Functional Genomics Core, Beckman Research Institute, City of Hope Comprehensive Cancer Center, Duarte, California 91010, USA
| | - Leming Shi
- National Center for Toxicological Research, US Food and Drug Administration, Jefferson, Arkansas 72079, USA
| | - Xiongfei Qu
- Center for Bioinformatics and Computational Biology, Shanghai Key Laboratory of Regulatory Biology, the Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai 200241, China
| | - Jiwei Chen
- Center for Bioinformatics and Computational Biology, Shanghai Key Laboratory of Regulatory Biology, the Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai 200241, China
| | - Jianmin Yang
- Center for Bioinformatics and Computational Biology, Shanghai Key Laboratory of Regulatory Biology, the Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai 200241, China
| | - Caiping Shi
- Center for Bioinformatics and Computational Biology, Shanghai Key Laboratory of Regulatory Biology, the Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai 200241, China
| | - Long Chen
- Center for Bioinformatics and Computational Biology, Shanghai Key Laboratory of Regulatory Biology, the Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai 200241, China
| | - Peiying Zhou
- Center for Bioinformatics and Computational Biology, Shanghai Key Laboratory of Regulatory Biology, the Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai 200241, China
| | - Baitang Ning
- National Center for Toxicological Research, US Food and Drug Administration, Jefferson, Arkansas 72079, USA
| | - Weida Tong
- National Center for Toxicological Research, US Food and Drug Administration, Jefferson, Arkansas 72079, USA
| | - Tieliu Shi
- Center for Bioinformatics and Computational Biology, Shanghai Key Laboratory of Regulatory Biology, the Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai 200241, China
- Corresponding authorE-mail
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1659
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Kumar S, Maiti S. Effect of different arginine methylations on the thermodynamics of Tat peptide binding to HIV-1 TAR RNA. Biochimie 2013; 95:1422-31. [PMID: 23541506 DOI: 10.1016/j.biochi.2013.03.008] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2013] [Accepted: 03/18/2013] [Indexed: 11/18/2022]
Abstract
RNA-binding proteins are an important class of mediators that regulate cell function and differentiation. Methylation of arginine, a post-translational modification (PTM) found in these proteins, can modulate their function. Arginine can be monomethylated or dimethylated, depending on the type of methyl transferases involved. This paper describes a comparative study of the thermodynamics of unmodified and modified Tat peptide interaction with TAR RNA, where the peptide is methylated at epsilon (ɛ) and eta (η) nitrogen atoms of guanidinium group of arginine side chain at position 52 or 53. The results indicate that monomethylation of arginine at epsilon (ɛ) nitrogen atom enhances binding affinity, owing to a more favourable enthalpy component which overrides the less favourable entropy change. In contrast, monomethylation of arginine residue at η nitrogen results in reduced binding affinity originating exclusively from a less favourable enthalpy change leaving entropic component unaffected. However, in case of simultaneous methylation at ɛ and η positions, the binding parameters remain almost unaffected, when compared to the unmodified peptide. In case of symmetric dimethylation at η position the observed enthalpy change of the binding was found to be smaller than the values obtained for the unmodified peptide. Asymmetric dimethylation at η position showed the most reduced binding affinities owing to less favourable enthalpy changes. These results provide insights that enable elucidation of the biological outcome of arginine methylation as PTMs that regulate protein function, and will contribute to our understanding of how these PTMs are established in vitro and in vivo.
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Affiliation(s)
- Santosh Kumar
- Proteomics and Structural Biology Unit, Institute of Genomics and Integrative Biology, CSIR, Mall Road, Delhi 110 007, India
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1660
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Long noncoding RNA MALAT1 controls cell cycle progression by regulating the expression of oncogenic transcription factor B-MYB. PLoS Genet 2013; 9:e1003368. [PMID: 23555285 PMCID: PMC3605280 DOI: 10.1371/journal.pgen.1003368] [Citation(s) in RCA: 601] [Impact Index Per Article: 50.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2012] [Accepted: 01/21/2013] [Indexed: 02/07/2023] Open
Abstract
The long noncoding MALAT1 RNA is upregulated in cancer tissues and its elevated expression is associated with hyper-proliferation, but the underlying mechanism is poorly understood. We demonstrate that MALAT1 levels are regulated during normal cell cycle progression. Genome-wide transcriptome analyses in normal human diploid fibroblasts reveal that MALAT1 modulates the expression of cell cycle genes and is required for G1/S and mitotic progression. Depletion of MALAT1 leads to activation of p53 and its target genes. The cell cycle defects observed in MALAT1-depleted cells are sensitive to p53 levels, indicating that p53 is a major downstream mediator of MALAT1 activity. Furthermore, MALAT1-depleted cells display reduced expression of B-MYB (Mybl2), an oncogenic transcription factor involved in G2/M progression, due to altered binding of splicing factors on B-MYB pre-mRNA and aberrant alternative splicing. In human cells, MALAT1 promotes cellular proliferation by modulating the expression and/or pre-mRNA processing of cell cycle–regulated transcription factors. These findings provide mechanistic insights on the role of MALAT1 in regulating cellular proliferation. The mammalian genome encodes large number of long non protein-coding RNAs (lncRNAs). These lncRNAs are suggested to regulate key biological processes (including cellular proliferation and differentiation), and aberrant expression of these is associated with cancer. However, only a few of these lncRNAs have been functionally validated in biological or disease processes. MALAT1, an abundant nuclear-retained lncRNA, is overexpressed in several cancers, and its elevated expression has been associated with hyper-proliferation and metastasis. However, the underlying mechanism behind this deregulation and its association with cancer is poorly understood. Here, we establish the role of MALAT1 in the cell cycle pathway and propose the molecular mechanism of its function during normal cell cycle progression. MALAT1 RNA levels are differentially regulated and critical for normal cell cycle progression. Depletion of MALAT1 results in cell cycle arrest with significantly reduced cellular proliferation, simultaneously leading to activation of p53 and its target genes. Further, the accurate levels of MALAT1 in the cell are extremely crucial for expression and activity of the oncogenic transcription factor B-MYB, which is involved in G2/M progression. Our data indicates that the cancer-associated MALAT1 RNA regulates cellular proliferation by modulating the expression and/or pre-mRNA processing of cell cycle–regulated transcription factors.
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1661
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Kaur P, Liu F, Tan JR, Lim KY, Sepramaniam S, Karolina DS, Armugam A, Jeyaseelan K. Non-Coding RNAs as Potential Neuroprotectants against Ischemic Brain Injury. Brain Sci 2013; 3:360-95. [PMID: 24961318 PMCID: PMC4061830 DOI: 10.3390/brainsci3010360] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2012] [Revised: 02/19/2013] [Accepted: 03/06/2013] [Indexed: 01/24/2023] Open
Abstract
Over the past decade, scientific discoveries have highlighted new roles for a unique class of non-coding RNAs. Transcribed from the genome, these non-coding RNAs have been implicated in determining the biological complexity seen in mammals by acting as transcriptional and translational regulators. Non-coding RNAs, which can be sub-classified into long non-coding RNAs, microRNAs, PIWI-interacting RNAs and several others, are widely expressed in the nervous system with roles in neurogenesis, development and maintenance of the neuronal phenotype. Perturbations of these non-coding transcripts have been observed in ischemic preconditioning as well as ischemic brain injury with characterization of the mechanisms by which they confer toxicity. Their dysregulation may also confer pathogenic conditions in neurovascular diseases. A better understanding of their expression patterns and functions has uncovered the potential use of these riboregulators as neuroprotectants to antagonize the detrimental molecular events taking place upon ischemic-reperfusion injury. In this review, we discuss the various roles of non-coding RNAs in brain development and their mechanisms of gene regulation in relation to ischemic brain injury. We will also address the future directions and open questions for identifying promising non-coding RNAs that could eventually serve as potential neuroprotectants against ischemic brain injury.
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Affiliation(s)
- Prameet Kaur
- Department of Biochemistry and Neuroscience Research Centre, Centre for Translational Medicine, Yong Loo Lin School of Medicine, National University of Singapore, 14 Medical Drive, Singapore 117599, Singapore.
| | - Fujia Liu
- Department of Biochemistry and Neuroscience Research Centre, Centre for Translational Medicine, Yong Loo Lin School of Medicine, National University of Singapore, 14 Medical Drive, Singapore 117599, Singapore.
| | - Jun Rong Tan
- Department of Biochemistry and Neuroscience Research Centre, Centre for Translational Medicine, Yong Loo Lin School of Medicine, National University of Singapore, 14 Medical Drive, Singapore 117599, Singapore.
| | - Kai Ying Lim
- Department of Biochemistry and Neuroscience Research Centre, Centre for Translational Medicine, Yong Loo Lin School of Medicine, National University of Singapore, 14 Medical Drive, Singapore 117599, Singapore.
| | - Sugunavathi Sepramaniam
- Department of Biochemistry and Neuroscience Research Centre, Centre for Translational Medicine, Yong Loo Lin School of Medicine, National University of Singapore, 14 Medical Drive, Singapore 117599, Singapore.
| | - Dwi Setyowati Karolina
- Department of Biochemistry and Neuroscience Research Centre, Centre for Translational Medicine, Yong Loo Lin School of Medicine, National University of Singapore, 14 Medical Drive, Singapore 117599, Singapore.
| | - Arunmozhiarasi Armugam
- Department of Biochemistry and Neuroscience Research Centre, Centre for Translational Medicine, Yong Loo Lin School of Medicine, National University of Singapore, 14 Medical Drive, Singapore 117599, Singapore.
| | - Kandiah Jeyaseelan
- Department of Biochemistry and Neuroscience Research Centre, Centre for Translational Medicine, Yong Loo Lin School of Medicine, National University of Singapore, 14 Medical Drive, Singapore 117599, Singapore.
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1662
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Myhre S, Lingjærde OC, Hennessy BT, Aure MR, Carey MS, Alsner J, Tramm T, Overgaard J, Mills GB, Børresen-Dale AL, Sørlie T. Influence of DNA copy number and mRNA levels on the expression of breast cancer related proteins. Mol Oncol 2013; 7:704-18. [PMID: 23562353 DOI: 10.1016/j.molonc.2013.02.018] [Citation(s) in RCA: 61] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2012] [Revised: 02/11/2013] [Accepted: 02/25/2013] [Indexed: 11/26/2022] Open
Abstract
For a panel of cancer related proteins, the aim was to shed light on which molecular level the expression of each protein was mainly regulated in breast tumors, and to investigate whether differences in regulation were reflected in different molecular subtypes. DNA, mRNA and protein lysates from 251 breast tumor specimens were analyzed using appropriate microarray technologies. Data from all three levels were available for 52 proteins selected for their known involvement in cancer, primarily through the PI3K/Akt pathway. For every protein, in cis Spearman rank correlations between the three molecular levels were calculated across all samples and within each intrinsic gene expression subtype, enabling 63 comparisons altogether due to multiple gene probes matching to single proteins. Subtype-specific relationships between the three molecular levels were studied by calculating the variance of subtype-specific correlation and differences between overall and average subtype-specific correlation. The findings were validated in an external dataset comprising 703 breast tumor specimens. The proteins were sorted into four groups based on the calculated rank correlation values between the three molecular levels. Group A consisted of eight proteins with significant correlation between DNA copy number levels and mRNA expression, and between mRNA expression and protein expression (Bonferroni adjusted p < 0.05). Group B consisted of 14 proteins with significant correlation between mRNA expression and protein expression. Group C consisted of 15 proteins with significant correlation between copy number levels and mRNA expression. For the remaining 25 proteins (group D), no significant correlations was observed. Stratification of tumors according to intrinsic subtype enabled identification of positive correlations between copy number levels, mRNA and protein expression that were undetectable when considering the entire sample set. Protein pairings that either demonstrated high variance in correlation values between subtypes, or between subtypes and the total dataset were studied in particular. The protein expression of cleaved caspase 7 was most highly expressed, and correlated highest to CASP7 gene expression within the basal-like subtype, accompanied by the lowest amounts of hsa-miR-29c. Luminal A-like subtype demonstrated highest amounts of hsa-miR-29c (a miRNA with a putative target sequence in CASP7 mRNA), low expression of cleaved caspase 7 and low correlation to CASP7 gene expression. Such pattern might be an indication of hsa-miR-29c miRNA functioning as a repressor of translation of CASP7 within the luminal-A subtype. Across the entire cohort no correlation was found between CCNB1 copy number and gene expression. However, within most gene intrinsic subtypes, mRNA and protein expression of cyclin B1 was found positively correlated to copy number data, suggesting that copy number can affect the overall expression of this protein. Aberrations of cyclin B1 copy number also identified patients with reduced overall survival within each subtype. Based on correlation between the three molecular levels, genes and their products could be sorted into four groups for which the expression was likely to be regulated at different molecular levels. Further stratification suggested subtype-specific regulation that was not evident across the entire sample set.
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Affiliation(s)
- Simen Myhre
- Department of Genetics, Institute for Cancer Research, Oslo University Hospital, The Norwegian Radium Hospital, N-0310 Oslo, Norway.
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1663
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Systematic study of human long intergenic non-coding RNAs and their impact on cancer. SCIENCE CHINA-LIFE SCIENCES 2013; 56:324-34. [PMID: 23504273 DOI: 10.1007/s11427-013-4460-x] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/18/2012] [Accepted: 12/03/2012] [Indexed: 10/27/2022]
Abstract
The functional impact of several long intergenic non-coding RNAs (lincRNAs) has been characterized in previous studies. However, it is difficult to identify lincRNAs on a large-scale and to ascertain their functions or predict their structures in laboratory experiments because of the diversity, lack of knowledge and specificity of expression of lincRNAs. Furthermore, although there are a few well-characterized examples of lincRNAs associated with cancers, these are just the tip of the iceberg owing to the complexity of cancer. Here, by combining RNA-Seq data from several kinds of human cell lines with chromatin-state maps and human expressed sequence tags, we successfully identified more than 3000 human lincRNAs, most of which were new ones. Subsequently, we predicted the functions of 105 lincRNAs based on a coding-non-coding gene co-expression network. Finally, we propose a genetic mediator and key regulator model to unveil the subtle relationships between lincRNAs and lung cancer. Twelve lincRNAs may be principal players in lung tumorigenesis. The present study combines large-scale identification and functional prediction of human lincRNAs, and is a pioneering work in characterizing cancer-associated lincRNAs by bioinformatics.
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1664
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Abstract
SUMMARY Plant long non-coding RNA database (PLncDB) attempts to provide the following functions related to long non-coding RNAs (lncRNAs): (i) Genomic information for a large number of lncRNAs collected from various resources; (ii) an online genome browser for plant lncRNAs based on a platform similar to that of the UCSC Genome Browser; (iii) Integration of transcriptome datasets derived from various samples including different tissues, developmental stages, mutants and stress treatments; and (iv) A list of epigenetic modification datasets and small RNA datasets. Currently, our PLncDB provides a comprehensive genomic view of Arabidopsis lncRNAs for the plant research community. This database will be regularly updated with new plant genome when available so as to greatly facilitate future investigations on plant lncRNAs. AVAILABILITY PLncDB is freely accessible at http://chualab.rockefeller.edu/gbrowse2/homepage.html and all results can be downloaded for free at the website.
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Affiliation(s)
- Jingjing Jin
- Laboratory of Plant Molecular Biology, Rockefeller University, New York, NY 10065, USA
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1665
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Luo M, Li Z, Wang W, Zeng Y, Liu Z, Qiu J. Upregulated H19 contributes to bladder cancer cell proliferation by regulating ID2 expression. FEBS J 2013; 280:1709-16. [PMID: 23399020 DOI: 10.1111/febs.12185] [Citation(s) in RCA: 118] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2012] [Revised: 01/20/2013] [Accepted: 01/25/2013] [Indexed: 12/19/2022]
Abstract
Long noncoding RNAs have been shown to have important regulatory roles in cancer biology, and long noncoding RNA 19 (H19) is essential for human tumor growth. However, little is known about how abnormal expression of H19 contributes to bladder cancer cell proliferation. In this study, we first evaluated the expression of H19 in bladder cancer tissues by real-time PCR, and defined the biological functions. We found that H19 expression levels were remarkably increased in bladder cancer tissues as compared with adjacent normal control tissue, and forced expression of H19 promoted bladder cancer cell proliferation in vitro. Inhibitor of DNA binding/differentiation 2 (ID2) expression levels were upregulated in bladder cancer tissues and in bladder cancer cells. A significant positive correlation was observed between H19 levels and ID2 levels in vivo. We further demonstrated that overexpression of H19 resulted in a significant increase in the expression of ID2, whereas H19 knockdown decreased ID2 expression in vitro. Gain-of-function and loss-of-function studies demonstrated that upregulated H19 increased bladder cancer cell proliferation by increasing ID2 expression. In conclusion, upregulated H19 increases bladder cancer growth by regulating ID2 expression, and thus may be helpful in the development of effective treatment strategies for bladder cancer.
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Affiliation(s)
- Ming Luo
- Department of Urology, Affiliated Tenth People's Hospital, Tongji University, Shanghai, China
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1666
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Xue Y, Wang M, Kang M, Wang Q, Wu B, Chu H, Zhong D, Qin C, Yin C, Zhang Z, Wu D. Association between lncrna PCGEM1 polymorphisms and prostate cancer risk. Prostate Cancer Prostatic Dis 2013; 16:139-44, S1. [PMID: 23459097 DOI: 10.1038/pcan.2013.6] [Citation(s) in RCA: 59] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
BACKGROUND Prostate cancer (PCa) gene expression marker 1 (PCGEM1), a long noncoding RNA, has drawn increasing attention for its important role in PCa. However, the association between genetic variations in the PCGEM1 gene and risk of PCa has not been investigated yet. METHODS We investigated the effect of two tagging single-nucleotide polymorphism (tSNPs; rs6434568 and rs16834898) in PCGEM1 gene on PCa risk in the Chinese men. Odds ratios (ORs) with 95% confidence intervals (CIs) were used to assess the association. RESULTS We found a significantly decreased risk of PCa for rs6434568 AC and AC/AA genotype (adjusted OR=0.76, 95% CI=0.60-0.97 for AC; adjusted OR=0.76, 95% CI=0.61-0.96 for AC/AA), as well as rs16834898 AC and AC/CC genotype (adjusted OR=0.76, 95% CI=0.59-0.97 for AC; adjusted OR=0.79, 95% CI=0.62-0.99 for AC/CC), compared with the CC and AA genotypes, respectively. When we evaluated these two tSNPs together based on the risk alleles (that is, rs6434568 C and rs16834898 A), we found that the combined genotypes with four risk alleles were associated with an increased risk of PCa compared with those carrying 0-3 risk alleles (1.53, 1.19-1.97), and this increased risk was more pronounced among subjects of≤70 years (1.80, 1.24-2.62), Gleason score≥7 (1.68, 1.28-2.22) and PSA level≥20 (1.64, 1.24-2.18). CONCLUSIONS Our results indicated that PCGEM1 polymorphisms may contribute to PCa risk in Chinese men. Additional functional analyses are required to detect the detailed mechanism underlying the observed association.
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Affiliation(s)
- Y Xue
- State Key Laboratory of Reproductive Medicine, Institute of Toxicology, Nanjing Medical University, Nanjing, China
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1667
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Abstract
In this review, we focus on the roles of long noncoding RNAs (lncRNAs), including cellular and viral lncRNAs, in virus replication in infected cells. We survey the interactions and functions of several cellular lncRNAs such as XIST, HOTAIR, NEAT1, BIC, and several virus-encoded lncRNAs.
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Affiliation(s)
- Quan Zhang
- Molecular Virology Section, Laboratory of Molecular Microbiology, National Institutes of Allergy and Infectious Diseases, the National Institutes of Health, Bethesda, Maryland 20892-0460, USA
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1668
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Kim T, Reitmair A. Non-Coding RNAs: Functional Aspects and Diagnostic Utility in Oncology. Int J Mol Sci 2013; 14:4934-68. [PMID: 23455466 PMCID: PMC3634484 DOI: 10.3390/ijms14034934] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2012] [Revised: 02/09/2013] [Accepted: 02/18/2013] [Indexed: 02/06/2023] Open
Abstract
Noncoding RNAs (ncRNAs) have been found to have roles in a large variety of biological processes. Recent studies indicate that ncRNAs are far more abundant and important than initially imagined, holding great promise for use in diagnostic, prognostic, and therapeutic applications. Within ncRNAs, microRNAs (miRNAs) are the most widely studied and characterized. They have been implicated in initiation and progression of a variety of human malignancies, including major pathologies such as cancers, arthritis, neurodegenerative disorders, and cardiovascular diseases. Their surprising stability in serum and other bodily fluids led to their rapid ascent as a novel class of biomarkers. For example, several properties of stable miRNAs, and perhaps other classes of ncRNAs, make them good candidate biomarkers for early cancer detection and for determining which preneoplastic lesions are likely to progress to cancer. Of particular interest is the identification of biomarker signatures, which may include traditional protein-based biomarkers, to improve risk assessment, detection, and prognosis. Here, we offer a comprehensive review of the ncRNA biomarker literature and discuss state-of-the-art technologies for their detection. Furthermore, we address the challenges present in miRNA detection and quantification, and outline future perspectives for development of next-generation biodetection assays employing multicolor alternating-laser excitation (ALEX) fluorescence spectroscopy.
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Affiliation(s)
- Taiho Kim
- Nesher Technologies, Inc., 2100 W. 3rd St. Los Angeles, CA 90057, USA.
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1669
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Long non-coding RNA in cancer. Int J Mol Sci 2013; 14:4655-69. [PMID: 23443164 PMCID: PMC3634483 DOI: 10.3390/ijms14034655] [Citation(s) in RCA: 289] [Impact Index Per Article: 24.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2012] [Revised: 01/03/2013] [Accepted: 01/31/2013] [Indexed: 12/31/2022] Open
Abstract
Long non-coding RNAs (lncRNAs) are pervasively transcribed in the genome and are emerging as new players in tumorigenesis due to their various functions in transcriptional, posttranscriptional and epigenetic mechanisms of gene regulation. LncRNAs are deregulated in a number of cancers, demonstrating both oncogenic and tumor suppressive roles, thus suggesting their aberrant expression may be a substantial contributor in cancer development. In this review, we will summarize their emerging role in human cancer and discuss their perspectives in diagnostics as potential biomarkers.
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1670
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Zhu L, Xu PC. Downregulated LncRNA-ANCR promotes osteoblast differentiation by targeting EZH2 and regulating Runx2 expression. Biochem Biophys Res Commun 2013; 432:612-7. [PMID: 23438432 DOI: 10.1016/j.bbrc.2013.02.036] [Citation(s) in RCA: 188] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2013] [Accepted: 02/12/2013] [Indexed: 01/28/2023]
Abstract
Long noncoding RNAs (lncRNAs) are key regulators of diverse biological processes such as transcriptional regulation, cell growth and differentiation. Previous studies have demonstrated that the lncRNA-ANCR (anti-differentiation ncRNA) is required to maintain the undifferentiated cell state within the epidermis. However, little is known about whether ANCR regulates osteoblast differentiation. In this study, we found that the ANCR expression level is significantly decreased during hFOB1.19 cell differentiation. ANCR-siRNA blocks the expression of endogenous ANCR, resulting in osteoblast differentiation, whereas ANCR overexpression is sufficient to inhibit osteoblast differentiation. We further demonstrated that ANCR is associated with enhancer of zeste homolog 2 (EZH2) and that this association results in the inhibition of both Runx2 expression and subsequent osteoblast differentiation. These data suggest that ANCR is an essential mediator of osteoblast differentiation, thus offering a new target for the development of therapeutic agents to treat bone diseases.
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Affiliation(s)
- Lin Zhu
- Department of Oral Medicine, Dental Clinic of Xuhui District, 685 Zhaojiabang Road, Shanghai 200032, People's Republic of China
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1671
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Recent Advances in Ribonucleic Acid Interference (RNAi). NATIONAL ACADEMY SCIENCE LETTERS 2013. [DOI: 10.1007/s40009-012-0102-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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1672
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Lipovich L, Tarca AL, Cai J, Jia H, Chugani HT, Sterner KN, Grossman LI, Uddin M, Hof PR, Sherwood CC, Kuzawa CW, Goodman M, Wildman DE. Developmental changes in the transcriptome of human cerebral cortex tissue: long noncoding RNA transcripts. ACTA ACUST UNITED AC 2013; 24:1451-9. [PMID: 23377288 DOI: 10.1093/cercor/bhs414] [Citation(s) in RCA: 53] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
The human neocortex is characterized by protracted developmental intervals of synaptogenesis and myelination, which allow for an extended period of learning. The molecular basis of these and other postnatal developmental changes in the human cerebral cortex remain incompletely understood. Recently, a new large class of mammalian genes, encoding nonmessenger, long nonprotein-coding ribonucleic acid (lncRNA) molecules has been discovered. Although their function remains uncertain, numerous lncRNAs have primate-specific sequences and/or show evidence of rapid, lineage-specific evolution, making them potentially relevant to the evolution of unique human neural properties. To examine the hypothesis that lncRNA expression varies with age, potentially paralleling known developmental trends in synaptogenesis, myelination, and energetics, we quantified levels of nearly 6000 lncRNAs in 36 surgically resected human neocortical samples (primarily derived from temporal cortex) spanning infancy to adulthood. Our analysis identified 8 lncRNA genes with distinct developmental expression patterns. These lncRNA genes contained anthropoid-specific exons, as well as splice sites and polyadenylation signals that resided in primate-specific sequences. To our knowledge, our study is the first to describe developmental expression profiles of lncRNA in surgically resected in vivo human brain tissue. Future analysis of the functional relevance of these transcripts to neural development and energy metabolism is warranted.
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1673
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Long noncoding RNA: an emerging paradigm of cancer research. Tumour Biol 2013; 34:613-20. [PMID: 23359273 DOI: 10.1007/s13277-013-0658-6] [Citation(s) in RCA: 315] [Impact Index Per Article: 26.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2012] [Accepted: 01/09/2013] [Indexed: 02/06/2023] Open
Abstract
Recent studies have demonstrated the importance of non-protein coding part of human genome in carcinogenesis and metastasis. Among numerous kinds of non-protein coding RNAs, long noncoding RNAs (lncRNAs) play a key regulatory role in cancer biology. LncRNAs are dysregulated in different kinds of cancer and the expression levels of certain lncRNAs are associated with recurrence, metastasis, and prognosis of cancer. It is also proved that overexpression of certain lncRNAs, behaving like oncogenes, can promote matrix invasion of cancer cells and tumor growth. In this review, we focus our attention on lncRNAs those have been validated in human cancer tissues to suggest reasonable strategies for future research. We introduce an update view of lncRNA, extract cancer-related lncRNAs from literature, and describe the known functions and possible underlying molecular mechanisms of some well investigated lncRNAs (MALAT1, HOX antisense intergenic RNA, and highly upregulated in hepatocellular cancer), as well as their current and potential future application in cancer diagnosis (PCA3) and treatment (H19).
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1674
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Luo M, Li Z, Wang W, Zeng Y, Liu Z, Qiu J. Long non-coding RNA H19 increases bladder cancer metastasis by associating with EZH2 and inhibiting E-cadherin expression. Cancer Lett 2013; 333:213-21. [PMID: 23354591 DOI: 10.1016/j.canlet.2013.01.033] [Citation(s) in RCA: 458] [Impact Index Per Article: 38.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2012] [Revised: 01/14/2013] [Accepted: 01/18/2013] [Indexed: 12/20/2022]
Abstract
lncRNA H19 is essential for human tumor growth. However, little is known about whether H19 regulates bladder cancer metastasis. Here we found that H19 levels are remarkably increased in bladder cancer tissues, and upregulated H19 promotes bladder cancer cell migration in vitro and in vivo. H19 is associated with enhancer of zeste homolog 2 (EZH2), and that this association results in Wnt/β-catenin activation and subsequent downregulation of E-cadherin. A significant negative correlation is also observed between H19 levels and E-cad levels in vivo. These data suggest that upregulated H19 enhances bladder cancer metastasis by associating with EZH2 and inhibiting E-cad expression.
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Affiliation(s)
- Ming Luo
- Department of Urology, The Tenth People's Hospital Affiliated to Tongji University, Shanghai 200072, China
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1675
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Knauss JL, Sun T. Regulatory mechanisms of long noncoding RNAs in vertebrate central nervous system development and function. Neuroscience 2013; 235:200-14. [PMID: 23337534 DOI: 10.1016/j.neuroscience.2013.01.022] [Citation(s) in RCA: 119] [Impact Index Per Article: 9.9] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2012] [Revised: 12/28/2012] [Accepted: 01/09/2013] [Indexed: 01/22/2023]
Abstract
Long noncoding RNAs (lncRNAs) have emerged as an important class of molecules that regulate gene expression at epigenetic, transcriptional, and post-transcriptional levels through a wide array of mechanisms. This regulation is of particular importance in the central nervous system (CNS), where precise modulation of gene expression is required for proper neuronal and glial production, connection and function. There are relatively few functional studies that characterize lncRNA mechanisms, but possible functions can often be inferred based on existing examples and the lncRNA's relative genomic position. In this review, we will discuss mechanisms of lncRNAs as predicted by genomic contexts and the possible impact on CNS development, function, and disease pathogenesis. There is no doubt that investigation of the mechanistic role of lncRNAs will open a new and exciting direction in studying CNS development and function.
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Affiliation(s)
- J L Knauss
- Department of Cell and Developmental Biology, Weill Medical College of Cornell University, New York, NY, United States.
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1676
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Ying L, Huang Y, Chen H, Wang Y, Xia L, Chen Y, Liu Y, Qiu F. Downregulated MEG3 activates autophagy and increases cell proliferation in bladder cancer. MOLECULAR BIOSYSTEMS 2013; 9:407-11. [PMID: 23295831 DOI: 10.1039/c2mb25386k] [Citation(s) in RCA: 247] [Impact Index Per Article: 20.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Maternally Expressed Gene 3 (MEG3) is an imprinted gene that encodes a long non-coding RNA (lncRNA) associated with tumorigenesis. Autophagy is activated in cancer cells and contributes to tumor cell survival. However, little is known about whether MEG3 regulates bladder cancer development by controlling autophagy. In the study, we found that MEG3 levels were significantly reduced in bladder cancer tissues compared with normal controls, and autophagy activity was increased in bladder cancer tissues. A significant negative correlation was observed between MEG3 levels and LC3-II (autophagy marker) levels in vivo. We further demonstrated that MEG3 markedly suppressed autophagy activation, whereas MEG3 knockdown activated autophagy in human bladder cancer cell lines. Downregulated expression of MEG3 inhibited cell apoptosis, whereas autophagy inhibition increased MEG3-knockdown cell apoptosis. MEG3 knockdown also increased cell proliferation. More importantly, autophagy inhibition abrogated MEG3 knockdown-induced cell proliferation. These data demonstrated that downregulated MEG3 activates autophagy and increases cell proliferation in bladder cancer.
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Affiliation(s)
- Liang Ying
- Department of Urology, Renji Hospital, Shanghai Jiaotong University School of Medicine, 1630 Dong Fang Road, Shanghai, 200127, China
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1677
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Alvarez ML, Distefano JK. The role of non-coding RNAs in diabetic nephropathy: potential applications as biomarkers for disease development and progression. Diabetes Res Clin Pract 2013; 99:1-11. [PMID: 23102915 DOI: 10.1016/j.diabres.2012.10.010] [Citation(s) in RCA: 77] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2012] [Revised: 09/11/2012] [Accepted: 10/05/2012] [Indexed: 01/10/2023]
Abstract
Diabetic nephropathy, a progressive kidney disease that develops secondary to diabetes, is the major cause of chronic kidney disease in developed countries, and contributes significantly to increased morbidity and mortality among individuals with diabetes. Although the causes of diabetic nephropathy are not fully understood, recent studies demonstrate a role for epigenetic factors in the development of the disease. For example, non-coding RNA (ncRNA) molecules, including microRNAs (miRNAs), have been shown to be functionally important in modulating renal response to hyperglycemia and progression of diabetic nephropathy. Characterization of miRNA expression in diabetic nephropathy from studies of animal models of diabetes, and in vitro investigations using different types of kidney cells also support this role. The goal of this review, therefore, is to summarize the current state of knowledge of specific ncRNAs involved in the development of diabetic nephropathy, with a focus on the potential role of miRNAs to serve as sensitive, non-invasive biomarkers of kidney disease and progression. Non-coding RNAs are currently recognized as potentially important regulators of genes involved in processes related to the development of diabetic nephropathy, and as such, represent viable targets for both clinical diagnostic strategies and therapeutic intervention.
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Affiliation(s)
- M Lucrecia Alvarez
- Diabetes, Cardiovascular and Metabolic Diseases Division, Translational Genomics Research Institute (TGen), Phoenix, AZ 85004, United States
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1678
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Guo X, Gao L, Liao Q, Xiao H, Ma X, Yang X, Luo H, Zhao G, Bu D, Jiao F, Shao Q, Chen R, Zhao Y. Long non-coding RNAs function annotation: a global prediction method based on bi-colored networks. Nucleic Acids Res 2013; 41:e35. [PMID: 23132350 PMCID: PMC3554231 DOI: 10.1093/nar/gks967] [Citation(s) in RCA: 142] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2012] [Revised: 09/05/2012] [Accepted: 09/25/2012] [Indexed: 02/01/2023] Open
Abstract
More and more evidences demonstrate that the long non-coding RNAs (lncRNAs) play many key roles in diverse biological processes. There is a critical need to annotate the functions of increasing available lncRNAs. In this article, we try to apply a global network-based strategy to tackle this issue for the first time. We develop a bi-colored network based global function predictor, long non-coding RNA global function predictor ('lnc-GFP'), to predict probable functions for lncRNAs at large scale by integrating gene expression data and protein interaction data. The performance of lnc-GFP is evaluated on protein-coding and lncRNA genes. Cross-validation tests on protein-coding genes with known function annotations indicate that our method can achieve a precision up to 95%, with a suitable parameter setting. Among the 1713 lncRNAs in the bi-colored network, the 1625 (94.9%) lncRNAs in the maximum connected component are all functionally characterized. For the lncRNAs expressed in mouse embryo stem cells and neuronal cells, the inferred putative functions by our method highly match those in the known literature.
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Affiliation(s)
- Xingli Guo
- School of computer science and technology, XIDIAN
UNIVERSITY, 2 South Taibai Road, Xi’an Shaanxi, 710071, PR China,
Bioinformatics Research Group, Key Laboratory of Intelligent Information
Processing, Advanced Computer Research Center, Institute of Computing Technology, Chinese
Academy of Sciences, No.6 Kexueyuan South Road Zhongguancun, Haidian District, Beijing,
100190, PR China, School of Software Engineering, XIDIAN UNIVERSITY, 2 South
Taibai Road, Xi‘an Shaanxi, 710071, PR China, Institute of Biochemistry
and Molecular Biology, School of Medicine, Ningbo University, 818 Fenghua Road Ningbo
Zhejiang, 315211, PR China, University of Chinese Academy of Sciences, No.19A
Yuquan Road, Beijing, 100049, PR China, Department of Biochemistry and Molecular
Biology, Binzhou Medical College, 346 GuanHai Road, Yantai Shandong, 264003, PR China,
Department of Immunology, School of Medical Science and Laboratory Medicine,
Jiangsu University, 301 Xuefu Road, Zhenjiang Jiangsu, 212013, PR China and
Bioinformatics Laboratory and National Laboratory of Biomacromolecules,
Institute of Biophysics, Chinese Academy of Sciences, 15 Datun Road, Chaoyang District,
Beijing, 100101, PR China
| | - Lin Gao
- School of computer science and technology, XIDIAN
UNIVERSITY, 2 South Taibai Road, Xi’an Shaanxi, 710071, PR China,
Bioinformatics Research Group, Key Laboratory of Intelligent Information
Processing, Advanced Computer Research Center, Institute of Computing Technology, Chinese
Academy of Sciences, No.6 Kexueyuan South Road Zhongguancun, Haidian District, Beijing,
100190, PR China, School of Software Engineering, XIDIAN UNIVERSITY, 2 South
Taibai Road, Xi‘an Shaanxi, 710071, PR China, Institute of Biochemistry
and Molecular Biology, School of Medicine, Ningbo University, 818 Fenghua Road Ningbo
Zhejiang, 315211, PR China, University of Chinese Academy of Sciences, No.19A
Yuquan Road, Beijing, 100049, PR China, Department of Biochemistry and Molecular
Biology, Binzhou Medical College, 346 GuanHai Road, Yantai Shandong, 264003, PR China,
Department of Immunology, School of Medical Science and Laboratory Medicine,
Jiangsu University, 301 Xuefu Road, Zhenjiang Jiangsu, 212013, PR China and
Bioinformatics Laboratory and National Laboratory of Biomacromolecules,
Institute of Biophysics, Chinese Academy of Sciences, 15 Datun Road, Chaoyang District,
Beijing, 100101, PR China
| | - Qi Liao
- School of computer science and technology, XIDIAN
UNIVERSITY, 2 South Taibai Road, Xi’an Shaanxi, 710071, PR China,
Bioinformatics Research Group, Key Laboratory of Intelligent Information
Processing, Advanced Computer Research Center, Institute of Computing Technology, Chinese
Academy of Sciences, No.6 Kexueyuan South Road Zhongguancun, Haidian District, Beijing,
100190, PR China, School of Software Engineering, XIDIAN UNIVERSITY, 2 South
Taibai Road, Xi‘an Shaanxi, 710071, PR China, Institute of Biochemistry
and Molecular Biology, School of Medicine, Ningbo University, 818 Fenghua Road Ningbo
Zhejiang, 315211, PR China, University of Chinese Academy of Sciences, No.19A
Yuquan Road, Beijing, 100049, PR China, Department of Biochemistry and Molecular
Biology, Binzhou Medical College, 346 GuanHai Road, Yantai Shandong, 264003, PR China,
Department of Immunology, School of Medical Science and Laboratory Medicine,
Jiangsu University, 301 Xuefu Road, Zhenjiang Jiangsu, 212013, PR China and
Bioinformatics Laboratory and National Laboratory of Biomacromolecules,
Institute of Biophysics, Chinese Academy of Sciences, 15 Datun Road, Chaoyang District,
Beijing, 100101, PR China
| | - Hui Xiao
- School of computer science and technology, XIDIAN
UNIVERSITY, 2 South Taibai Road, Xi’an Shaanxi, 710071, PR China,
Bioinformatics Research Group, Key Laboratory of Intelligent Information
Processing, Advanced Computer Research Center, Institute of Computing Technology, Chinese
Academy of Sciences, No.6 Kexueyuan South Road Zhongguancun, Haidian District, Beijing,
100190, PR China, School of Software Engineering, XIDIAN UNIVERSITY, 2 South
Taibai Road, Xi‘an Shaanxi, 710071, PR China, Institute of Biochemistry
and Molecular Biology, School of Medicine, Ningbo University, 818 Fenghua Road Ningbo
Zhejiang, 315211, PR China, University of Chinese Academy of Sciences, No.19A
Yuquan Road, Beijing, 100049, PR China, Department of Biochemistry and Molecular
Biology, Binzhou Medical College, 346 GuanHai Road, Yantai Shandong, 264003, PR China,
Department of Immunology, School of Medical Science and Laboratory Medicine,
Jiangsu University, 301 Xuefu Road, Zhenjiang Jiangsu, 212013, PR China and
Bioinformatics Laboratory and National Laboratory of Biomacromolecules,
Institute of Biophysics, Chinese Academy of Sciences, 15 Datun Road, Chaoyang District,
Beijing, 100101, PR China
| | - Xiaoke Ma
- School of computer science and technology, XIDIAN
UNIVERSITY, 2 South Taibai Road, Xi’an Shaanxi, 710071, PR China,
Bioinformatics Research Group, Key Laboratory of Intelligent Information
Processing, Advanced Computer Research Center, Institute of Computing Technology, Chinese
Academy of Sciences, No.6 Kexueyuan South Road Zhongguancun, Haidian District, Beijing,
100190, PR China, School of Software Engineering, XIDIAN UNIVERSITY, 2 South
Taibai Road, Xi‘an Shaanxi, 710071, PR China, Institute of Biochemistry
and Molecular Biology, School of Medicine, Ningbo University, 818 Fenghua Road Ningbo
Zhejiang, 315211, PR China, University of Chinese Academy of Sciences, No.19A
Yuquan Road, Beijing, 100049, PR China, Department of Biochemistry and Molecular
Biology, Binzhou Medical College, 346 GuanHai Road, Yantai Shandong, 264003, PR China,
Department of Immunology, School of Medical Science and Laboratory Medicine,
Jiangsu University, 301 Xuefu Road, Zhenjiang Jiangsu, 212013, PR China and
Bioinformatics Laboratory and National Laboratory of Biomacromolecules,
Institute of Biophysics, Chinese Academy of Sciences, 15 Datun Road, Chaoyang District,
Beijing, 100101, PR China
| | - Xiaofei Yang
- School of computer science and technology, XIDIAN
UNIVERSITY, 2 South Taibai Road, Xi’an Shaanxi, 710071, PR China,
Bioinformatics Research Group, Key Laboratory of Intelligent Information
Processing, Advanced Computer Research Center, Institute of Computing Technology, Chinese
Academy of Sciences, No.6 Kexueyuan South Road Zhongguancun, Haidian District, Beijing,
100190, PR China, School of Software Engineering, XIDIAN UNIVERSITY, 2 South
Taibai Road, Xi‘an Shaanxi, 710071, PR China, Institute of Biochemistry
and Molecular Biology, School of Medicine, Ningbo University, 818 Fenghua Road Ningbo
Zhejiang, 315211, PR China, University of Chinese Academy of Sciences, No.19A
Yuquan Road, Beijing, 100049, PR China, Department of Biochemistry and Molecular
Biology, Binzhou Medical College, 346 GuanHai Road, Yantai Shandong, 264003, PR China,
Department of Immunology, School of Medical Science and Laboratory Medicine,
Jiangsu University, 301 Xuefu Road, Zhenjiang Jiangsu, 212013, PR China and
Bioinformatics Laboratory and National Laboratory of Biomacromolecules,
Institute of Biophysics, Chinese Academy of Sciences, 15 Datun Road, Chaoyang District,
Beijing, 100101, PR China
| | - Haitao Luo
- School of computer science and technology, XIDIAN
UNIVERSITY, 2 South Taibai Road, Xi’an Shaanxi, 710071, PR China,
Bioinformatics Research Group, Key Laboratory of Intelligent Information
Processing, Advanced Computer Research Center, Institute of Computing Technology, Chinese
Academy of Sciences, No.6 Kexueyuan South Road Zhongguancun, Haidian District, Beijing,
100190, PR China, School of Software Engineering, XIDIAN UNIVERSITY, 2 South
Taibai Road, Xi‘an Shaanxi, 710071, PR China, Institute of Biochemistry
and Molecular Biology, School of Medicine, Ningbo University, 818 Fenghua Road Ningbo
Zhejiang, 315211, PR China, University of Chinese Academy of Sciences, No.19A
Yuquan Road, Beijing, 100049, PR China, Department of Biochemistry and Molecular
Biology, Binzhou Medical College, 346 GuanHai Road, Yantai Shandong, 264003, PR China,
Department of Immunology, School of Medical Science and Laboratory Medicine,
Jiangsu University, 301 Xuefu Road, Zhenjiang Jiangsu, 212013, PR China and
Bioinformatics Laboratory and National Laboratory of Biomacromolecules,
Institute of Biophysics, Chinese Academy of Sciences, 15 Datun Road, Chaoyang District,
Beijing, 100101, PR China
| | - Guoguang Zhao
- School of computer science and technology, XIDIAN
UNIVERSITY, 2 South Taibai Road, Xi’an Shaanxi, 710071, PR China,
Bioinformatics Research Group, Key Laboratory of Intelligent Information
Processing, Advanced Computer Research Center, Institute of Computing Technology, Chinese
Academy of Sciences, No.6 Kexueyuan South Road Zhongguancun, Haidian District, Beijing,
100190, PR China, School of Software Engineering, XIDIAN UNIVERSITY, 2 South
Taibai Road, Xi‘an Shaanxi, 710071, PR China, Institute of Biochemistry
and Molecular Biology, School of Medicine, Ningbo University, 818 Fenghua Road Ningbo
Zhejiang, 315211, PR China, University of Chinese Academy of Sciences, No.19A
Yuquan Road, Beijing, 100049, PR China, Department of Biochemistry and Molecular
Biology, Binzhou Medical College, 346 GuanHai Road, Yantai Shandong, 264003, PR China,
Department of Immunology, School of Medical Science and Laboratory Medicine,
Jiangsu University, 301 Xuefu Road, Zhenjiang Jiangsu, 212013, PR China and
Bioinformatics Laboratory and National Laboratory of Biomacromolecules,
Institute of Biophysics, Chinese Academy of Sciences, 15 Datun Road, Chaoyang District,
Beijing, 100101, PR China
| | - Dechao Bu
- School of computer science and technology, XIDIAN
UNIVERSITY, 2 South Taibai Road, Xi’an Shaanxi, 710071, PR China,
Bioinformatics Research Group, Key Laboratory of Intelligent Information
Processing, Advanced Computer Research Center, Institute of Computing Technology, Chinese
Academy of Sciences, No.6 Kexueyuan South Road Zhongguancun, Haidian District, Beijing,
100190, PR China, School of Software Engineering, XIDIAN UNIVERSITY, 2 South
Taibai Road, Xi‘an Shaanxi, 710071, PR China, Institute of Biochemistry
and Molecular Biology, School of Medicine, Ningbo University, 818 Fenghua Road Ningbo
Zhejiang, 315211, PR China, University of Chinese Academy of Sciences, No.19A
Yuquan Road, Beijing, 100049, PR China, Department of Biochemistry and Molecular
Biology, Binzhou Medical College, 346 GuanHai Road, Yantai Shandong, 264003, PR China,
Department of Immunology, School of Medical Science and Laboratory Medicine,
Jiangsu University, 301 Xuefu Road, Zhenjiang Jiangsu, 212013, PR China and
Bioinformatics Laboratory and National Laboratory of Biomacromolecules,
Institute of Biophysics, Chinese Academy of Sciences, 15 Datun Road, Chaoyang District,
Beijing, 100101, PR China
| | - Fei Jiao
- School of computer science and technology, XIDIAN
UNIVERSITY, 2 South Taibai Road, Xi’an Shaanxi, 710071, PR China,
Bioinformatics Research Group, Key Laboratory of Intelligent Information
Processing, Advanced Computer Research Center, Institute of Computing Technology, Chinese
Academy of Sciences, No.6 Kexueyuan South Road Zhongguancun, Haidian District, Beijing,
100190, PR China, School of Software Engineering, XIDIAN UNIVERSITY, 2 South
Taibai Road, Xi‘an Shaanxi, 710071, PR China, Institute of Biochemistry
and Molecular Biology, School of Medicine, Ningbo University, 818 Fenghua Road Ningbo
Zhejiang, 315211, PR China, University of Chinese Academy of Sciences, No.19A
Yuquan Road, Beijing, 100049, PR China, Department of Biochemistry and Molecular
Biology, Binzhou Medical College, 346 GuanHai Road, Yantai Shandong, 264003, PR China,
Department of Immunology, School of Medical Science and Laboratory Medicine,
Jiangsu University, 301 Xuefu Road, Zhenjiang Jiangsu, 212013, PR China and
Bioinformatics Laboratory and National Laboratory of Biomacromolecules,
Institute of Biophysics, Chinese Academy of Sciences, 15 Datun Road, Chaoyang District,
Beijing, 100101, PR China
| | - Qixiang Shao
- School of computer science and technology, XIDIAN
UNIVERSITY, 2 South Taibai Road, Xi’an Shaanxi, 710071, PR China,
Bioinformatics Research Group, Key Laboratory of Intelligent Information
Processing, Advanced Computer Research Center, Institute of Computing Technology, Chinese
Academy of Sciences, No.6 Kexueyuan South Road Zhongguancun, Haidian District, Beijing,
100190, PR China, School of Software Engineering, XIDIAN UNIVERSITY, 2 South
Taibai Road, Xi‘an Shaanxi, 710071, PR China, Institute of Biochemistry
and Molecular Biology, School of Medicine, Ningbo University, 818 Fenghua Road Ningbo
Zhejiang, 315211, PR China, University of Chinese Academy of Sciences, No.19A
Yuquan Road, Beijing, 100049, PR China, Department of Biochemistry and Molecular
Biology, Binzhou Medical College, 346 GuanHai Road, Yantai Shandong, 264003, PR China,
Department of Immunology, School of Medical Science and Laboratory Medicine,
Jiangsu University, 301 Xuefu Road, Zhenjiang Jiangsu, 212013, PR China and
Bioinformatics Laboratory and National Laboratory of Biomacromolecules,
Institute of Biophysics, Chinese Academy of Sciences, 15 Datun Road, Chaoyang District,
Beijing, 100101, PR China
| | - RunSheng Chen
- School of computer science and technology, XIDIAN
UNIVERSITY, 2 South Taibai Road, Xi’an Shaanxi, 710071, PR China,
Bioinformatics Research Group, Key Laboratory of Intelligent Information
Processing, Advanced Computer Research Center, Institute of Computing Technology, Chinese
Academy of Sciences, No.6 Kexueyuan South Road Zhongguancun, Haidian District, Beijing,
100190, PR China, School of Software Engineering, XIDIAN UNIVERSITY, 2 South
Taibai Road, Xi‘an Shaanxi, 710071, PR China, Institute of Biochemistry
and Molecular Biology, School of Medicine, Ningbo University, 818 Fenghua Road Ningbo
Zhejiang, 315211, PR China, University of Chinese Academy of Sciences, No.19A
Yuquan Road, Beijing, 100049, PR China, Department of Biochemistry and Molecular
Biology, Binzhou Medical College, 346 GuanHai Road, Yantai Shandong, 264003, PR China,
Department of Immunology, School of Medical Science and Laboratory Medicine,
Jiangsu University, 301 Xuefu Road, Zhenjiang Jiangsu, 212013, PR China and
Bioinformatics Laboratory and National Laboratory of Biomacromolecules,
Institute of Biophysics, Chinese Academy of Sciences, 15 Datun Road, Chaoyang District,
Beijing, 100101, PR China
| | - Yi Zhao
- School of computer science and technology, XIDIAN
UNIVERSITY, 2 South Taibai Road, Xi’an Shaanxi, 710071, PR China,
Bioinformatics Research Group, Key Laboratory of Intelligent Information
Processing, Advanced Computer Research Center, Institute of Computing Technology, Chinese
Academy of Sciences, No.6 Kexueyuan South Road Zhongguancun, Haidian District, Beijing,
100190, PR China, School of Software Engineering, XIDIAN UNIVERSITY, 2 South
Taibai Road, Xi‘an Shaanxi, 710071, PR China, Institute of Biochemistry
and Molecular Biology, School of Medicine, Ningbo University, 818 Fenghua Road Ningbo
Zhejiang, 315211, PR China, University of Chinese Academy of Sciences, No.19A
Yuquan Road, Beijing, 100049, PR China, Department of Biochemistry and Molecular
Biology, Binzhou Medical College, 346 GuanHai Road, Yantai Shandong, 264003, PR China,
Department of Immunology, School of Medical Science and Laboratory Medicine,
Jiangsu University, 301 Xuefu Road, Zhenjiang Jiangsu, 212013, PR China and
Bioinformatics Laboratory and National Laboratory of Biomacromolecules,
Institute of Biophysics, Chinese Academy of Sciences, 15 Datun Road, Chaoyang District,
Beijing, 100101, PR China
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1679
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Yu B, Zhou S, Hu W, Qian T, Gao R, Ding G, Ding F, Gu X. Altered long noncoding RNA expressions in dorsal root ganglion after rat sciatic nerve injury. Neurosci Lett 2012; 534:117-22. [PMID: 23274483 DOI: 10.1016/j.neulet.2012.12.014] [Citation(s) in RCA: 52] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2012] [Revised: 11/26/2012] [Accepted: 12/14/2012] [Indexed: 12/15/2022]
Abstract
Dorsal root ganglia (DRG) neurons spontaneously undergo robust neurite growth after axotomy. Long noncoding RNAs (lncRNAs) are an important class of pervasive genes involved in a variety of biological functions. However, the functions of lncRNAs in the regulation of responses of DRG neurons to injury stimuli remain untested. Here, lncRNA microarray analysis was performed to profile the lncRNAs in L4-L6 DRGs following rat sciatic nerve resection. The 105 lncRNAs were identified to be differentially expressed at 0, 1, 4, 7 d post injury. A coexpression network of 24 down-regulated lncRNAs and coding genes was constructed, and 115 targets of these 24 lncRNAs were found to be mainly involved in cell phenotype modulation, including glial cell migration, purinergic nucleotide receptor signaling pathway, vasodilation, regulation of multi-organism process, and neuropeptide signaling pathway, and also to be potentially associated with several key regeneration signaling pathways, including MAPK signaling pathway, and neuroactive ligand-receptor interaction. LncRNA BC089918 was selected from 24 down-regulated lncRNAs for validation by quantitative real-time polymerase chain reaction and in situ hybridization. And silencing of BC089918 with small interfering RNAs indicted that the lncRNA had a particular promoting effect on neurite outgrowth. Our data demonstrated a distinct involvement of lncRNAs in DRGs after nerve injury, thus contributing to illustration of molecular mechanisms responsible for nerve regeneration.
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Affiliation(s)
- Bin Yu
- Jiangsu Key Laboratory of Neuroregeneration, Nantong University, Nantong 226001, China
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1680
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Ma H, Hao Y, Dong X, Gong Q, Chen J, Zhang J, Tian W. Molecular mechanisms and function prediction of long noncoding RNA. ScientificWorldJournal 2012; 2012:541786. [PMID: 23319885 PMCID: PMC3540756 DOI: 10.1100/2012/541786] [Citation(s) in RCA: 91] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2012] [Accepted: 11/21/2012] [Indexed: 12/25/2022] Open
Abstract
The central dogma of gene expression considers RNA as the carrier of genetic information from DNA to protein. However, it has become more and more clear that RNA plays more important roles than simply being the information carrier. Recently, whole genome transcriptomic analyses have identified large numbers of dynamically expressed long noncoding RNAs (lncRNAs), many of which are involved in a variety of biological functions. Even so, the functions and molecular mechanisms of most lncRNAs still remain elusive. Therefore, it is necessary to develop computational methods to predict the function of lncRNAs in order to accelerate the study of lncRNAs. Here, we review the recent progress in the identification of lncRNAs, the molecular functions and mechanisms of lncRNAs, and the computational methods for predicting the function of lncRNAs.
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Affiliation(s)
- Handong Ma
- Institute of Biostatistics, School of Life Science, Fudan University, 220 Handan Road, Shanghai 2004333, China
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1681
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Affiliation(s)
- Wenwen Fang
- Department of Molecular Biology, Princeton University, Princeton, NJ, USA
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1682
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Abstract
Recent studies show that transcription of the mammalian genome is not only pervasive but also enormously complex. It is estimated that an average of 10 transcription units, the vast majority of which make long noncoding RNAs (lncRNAs), may overlap each traditional coding gene. These lncRNAs include not only antisense, intronic, and intergenic transcripts but also pseudogenes and retrotransposons. Do they universally have function, or are they merely transcriptional by-products of conventional coding genes? A glimpse into the molecular biology of multiple emerging lncRNA systems reveals the "Wild West" landscape of their functions and mechanisms and the key problems to solve in the years ahead toward understanding these intriguing macromolecules.
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Affiliation(s)
- Jeannie T Lee
- Howard Hughes Medical Institute, Department of Molecular Biology, Massachusetts General Hospital, and Department of Genetics, Harvard Medical School, Boston, MA 02138, USA.
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1683
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Gong Z, Zhang S, Zhang W, Huang H, Li Q, Deng H, Ma J, Zhou M, Xiang J, Wu M, Li X, Xiong W, Li X, Li Y, Zeng Z, Li G. Long non-coding RNAs in cancer. SCIENCE CHINA-LIFE SCIENCES 2012; 55:1120-4. [PMID: 23233227 DOI: 10.1007/s11427-012-4413-9] [Citation(s) in RCA: 63] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/28/2012] [Accepted: 11/10/2012] [Indexed: 12/28/2022]
Affiliation(s)
- Zhaojian Gong
- Hunan Key Laboratory of Nonresolving Inflammation and Cancer, Disease Genome Research Center, the Third Xiangya Hospital, Central South University, Changsha 410013, China
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1684
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Stabilization of human interferon-α1 mRNA by its antisense RNA. Cell Mol Life Sci 2012; 70:1451-67. [PMID: 23224365 PMCID: PMC3607724 DOI: 10.1007/s00018-012-1216-x] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2012] [Revised: 10/31/2012] [Accepted: 11/19/2012] [Indexed: 12/15/2022]
Abstract
Antisense transcription is a widespread phenomenon in the mammalian genome and is believed to play a role in regulating gene expression. However, the exact functional significance of antisense transcription is largely unknown. Here, we show that natural antisense (AS) RNA is an important modulator of interferon-α1 (IFN-α1) mRNA levels. A ~4-kb, spliced IFN-α1 AS RNA targets a single-stranded region within a conserved secondary structure element of the IFN-α1 mRNA, an element which was previously reported to function as the nuclear export element. Following infection of human Namalwa lymphocytes with Sendai virus or infection of guinea pig 104C1 fetal fibroblasts with influenza virus A/PR/8/34, expression of IFN-α1 AS RNA becomes elevated. This elevated expression results in increased IFN-α1 mRNA stability because of the cytoplasmic (but not nuclear) interaction of the AS RNA with the mRNA at the single-stranded region. This results in increased IFN-α protein production. The silencing of IFN-α1 AS RNA by sense oligonucleotides or over-expression of antisense oligoribonucleotides, which were both designed from the target region, confirmed the critical role of the AS RNA in the post-transcriptional regulation of IFN-α1 mRNA levels. This AS RNA stabilization effect is caused by the prevention of the microRNA (miRNA)-induced destabilization of IFN-α1 mRNA due to masking of the miR-1270 binding site. This discovery not only reveals a regulatory pathway for controlling IFN-α1 gene expression during the host innate immune response against virus infection but also suggests a reason for the large number of overlapping complementary transcripts with previously unknown function.
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1685
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Long non-coding RNAs and p53 regulation. Int J Mol Sci 2012; 13:16708-17. [PMID: 23222637 PMCID: PMC3546715 DOI: 10.3390/ijms131216708] [Citation(s) in RCA: 43] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2012] [Revised: 12/03/2012] [Accepted: 12/03/2012] [Indexed: 12/20/2022] Open
Abstract
The advent of novel and high-throughput sequencing (next generation) technologies allowed for the sequencing of the genome at an unprecedented depth. The majority of transcribed RNAs have been classified as non-coding RNAs. Among them, long non-coding RNAs (lncRNAs) are emerging as important regulators in many biological processes. Here, we discuss the role of those lncRNAs which are under the control of p53 or that are able to regulate its activity, due to the central role of p53 pathway in many conditions. We also briefly discussed the emerging need of having novel strategies and computational tools to completely unravel the multifaceted roles of lncRNAs and to pave the way to the development of novel diagnostic and therapeutic applications based on these peculiar molecules.
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1686
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Jia G, Fu Y, He C. Reversible RNA adenosine methylation in biological regulation. Trends Genet 2012; 29:108-15. [PMID: 23218460 DOI: 10.1016/j.tig.2012.11.003] [Citation(s) in RCA: 321] [Impact Index Per Article: 24.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2012] [Revised: 11/01/2012] [Accepted: 11/05/2012] [Indexed: 01/20/2023]
Abstract
N(6)-methyladenosine (m(6)A) is a ubiquitous modification in mRNA and other RNAs across most eukaryotes. For many years, however, the exact functions of m(6)A were not clearly understood. The discovery that the fat mass and obesity-associated protein (FTO) is an m(6)A demethylase indicates that this modification is reversible and dynamically regulated, suggesting that it has regulatory roles. In addition, it has been shown that m(6)A affects cell fate decisions in yeast and plant development. Recent affinity-based m(6)A profiling in mouse and human cells further showed that this modification is a widespread mark in coding and noncoding RNA (ncRNA) transcripts and is likely dynamically regulated throughout developmental processes. Therefore, reversible RNA methylation, analogous to reversible DNA and histone modifications, may affect gene expression and cell fate decisions by modulating multiple RNA-related cellular pathways, which potentially provides rapid responses to various cellular and environmental signals, including energy and nutrient availability in mammals.
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Affiliation(s)
- Guifang Jia
- Department of Chemistry and Institute for Biophysical Dynamics, The University of Chicago, 929 East 57th Street, Chicago, IL 60637, USA
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1687
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Chan WL, Chang YS, Yang WK, Huang HD, Chang JG. Very long non-coding RNA and human disease. Biomedicine (Taipei) 2012. [DOI: 10.1016/j.biomed.2012.10.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022] Open
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1688
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Ragusa M, Statello L, Maugeri M, Majorana A, Barbagallo D, Salito L, Sammito M, Santonocito M, Angelica R, Cavallaro A, Scalia M, Caltabiano R, Privitera G, Biondi A, Di Vita M, Cappellani A, Vasquez E, Lanzafame S, Tendi E, Celeste S, Di Pietro C, Basile F, Purrello M. Specific alterations of the microRNA transcriptome and global network structure in colorectal cancer after treatment with MAPK/ERK inhibitors. J Mol Med (Berl) 2012; 90:1421-1438. [PMID: 22660396 DOI: 10.1007/s00109-012-0918-8] [Citation(s) in RCA: 76] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2011] [Revised: 04/12/2012] [Accepted: 05/10/2012] [Indexed: 12/11/2022]
Abstract
The mitogen-activated protein kinase (MAPK)/extracellular signal-regulated kinase (ERK) pathway has a master control role in various cancer-related biological processes as cell growth, proliferation, differentiation, migration, and apoptosis. It also regulates many transcription factors that control microRNAs (miRNAs) and their biosynthetic machinery. To investigate on the still poorly characterised global involvement of miRNAs within the pathway, we profiled the expression of 745 miRNAs in three colorectal cancer (CRC) cell lines after blocking the pathway with three different inhibitors. This allowed the identification of two classes of post-treatment differentially expressed (DE) miRNAs: (1) common DE miRNAs in all CRC lines after treatment with a specific inhibitor (class A); (2) DE miRNAs in a single CRC line after treatment with all three inhibitors (class B). By determining the molecular targets, biological roles, network position of chosen miRNAs from class A (miR-372, miR-663b, miR-1226*) and class B (miR-92a-1*, miR-135b*, miR-720), we experimentally demonstrated that they are involved in cell proliferation, migration, apoptosis, and globally affect the regulation circuits centred on MAPK/ERK signaling. Interestingly, the levels of miR-92a-1*, miR-135b*, miR-372, miR-720 are significantly higher in biopsies from CRC patients than in normal controls; they also are significantly higher in CRC patients with mutated KRAS than in those with wild-type genotypes (Wilcoxon test, p < 0.05): the latter could be a downstream effect of ERK pathway overactivation, triggered by KRAS mutations. Finally, our functional data strongly suggest the following miRNA/target pairs: miR-92a-1*/PTEN-SOCS5; miR-135b*/LATS2; miR-372/TXNIP; miR-663b/CCND2. Altogether, these results contribute to deepen current knowledge on still uncharacterized features of MAPK/ERK pathway, pinpointing new oncomiRs in CRC and allowing their translation into clinical practice and CRC therapy.
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Affiliation(s)
- Marco Ragusa
- Dipartimento Gian Filippo Ingrassia, Unità di BioMedicina Molecolare Genomica e dei Sistemi Complessi, Genetica, Biologia Computazionale, Università di Catania, Via Santa Sofia 87, 95123 Catania, Italy.
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1689
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Yuan SX, Yang F, Yang Y, Tao QF, Zhang J, Huang G, Yang Y, Wang RY, Yang S, Huo XS, Zhang L, Wang F, Sun SH, Zhou WP. Long noncoding RNA associated with microvascular invasion in hepatocellular carcinoma promotes angiogenesis and serves as a predictor for hepatocellular carcinoma patients' poor recurrence-free survival after hepatectomy. Hepatology 2012; 56:2231-41. [PMID: 22706893 DOI: 10.1002/hep.25895] [Citation(s) in RCA: 324] [Impact Index Per Article: 24.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2012] [Accepted: 05/30/2012] [Indexed: 12/13/2022]
Abstract
UNLABELLED Survival of patients with hepatocellular carcinoma (HCC) remains poor, which is largely attributed to active angiogenesis. However, the mechanisms underlying angiogenesis in HCC remain to be discovered. In this study, we found that long noncoding RNA associated with microvascular invasion in HCC (lncRNA MVIH) (lncRNA associated with microvascular invasion in HCC) was generally overexpressed in HCC. In a cohort of 215 HCC patients, the overexpression of MVIH was associated with frequent microvascular invasion (P = 0.016) and a higher tumor node metastasis stage (P = 0.009) as well as decreased recurrence-free survival (RFS) (P < 0.001) and overall survival (P = 0.007). Moreover, the up-regulation of MVIH served as an independent risk factor to predict poor RFS. We also found that MVIH could promote tumor growth and intrahepatic metastasis by activating angiogenesis in mouse models. Subsequent investigations indicated that MVIH could activate tumor-inducing angiogenesis by inhibiting the secretion of phosphoglycerate kinase 1 (PGK1). Additionally, in 65 HCC samples, MVIH expression was inversely correlated with the serum level of PGK1 and positively correlated with the microvessel density. CONCLUSION Deregulation of lncRNA MVIH is a predictor for poor RFS of HCC patients after hepatectomy and could be utilized as a potential target for new adjuvant therapies against active angiogenesis.
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Affiliation(s)
- Sheng-Xian Yuan
- Third Department of Hepatic Surgery, Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, Shanghai, China
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1690
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Parkinson J, Wasmuth JD, Salinas G, Bizarro CV, Sanford C, Berriman M, Ferreira HB, Zaha A, Blaxter ML, Maizels RM, Fernández C. A transcriptomic analysis of Echinococcus granulosus larval stages: implications for parasite biology and host adaptation. PLoS Negl Trop Dis 2012; 6:e1897. [PMID: 23209850 PMCID: PMC3510090 DOI: 10.1371/journal.pntd.0001897] [Citation(s) in RCA: 55] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2012] [Accepted: 09/25/2012] [Indexed: 01/14/2023] Open
Abstract
Background The cestode Echinococcus granulosus - the agent of cystic echinococcosis, a zoonosis affecting humans and domestic animals worldwide - is an excellent model for the study of host-parasite cross-talk that interfaces with two mammalian hosts. To develop the molecular analysis of these interactions, we carried out an EST survey of E. granulosus larval stages. We report the salient features of this study with a focus on genes reflecting physiological adaptations of different parasite stages. Methodology/Principal Findings We generated ∼10,000 ESTs from two sets of full-length enriched libraries (derived from oligo-capped and trans-spliced cDNAs) prepared with three parasite materials: hydatid cyst wall, larval worms (protoscoleces), and pepsin/H+-activated protoscoleces. The ESTs were clustered into 2700 distinct gene products. In the context of the biology of E. granulosus, our analyses reveal: (i) a diverse group of abundant long non-protein coding transcripts showing homology to a middle repetitive element (EgBRep) that could either be active molecular species or represent precursors of small RNAs (like piRNAs); (ii) an up-regulation of fermentative pathways in the tissue of the cyst wall; (iii) highly expressed thiol- and selenol-dependent antioxidant enzyme targets of thioredoxin glutathione reductase, the functional hub of redox metabolism in parasitic flatworms; (iv) candidate apomucins for the external layer of the tissue-dwelling hydatid cyst, a mucin-rich structure that is critical for survival in the intermediate host; (v) a set of tetraspanins, a protein family that appears to have expanded in the cestode lineage; and (vi) a set of platyhelminth-specific gene products that may offer targets for novel pan-platyhelminth drug development. Conclusions/Significance This survey has greatly increased the quality and the quantity of the molecular information on E. granulosus and constitutes a valuable resource for gene prediction on the parasite genome and for further genomic and proteomic analyses focused on cestodes and platyhelminths. Cestodes are a neglected group of platyhelminth parasites, despite causing chronic infections to humans and domestic animals worldwide. We used Echinococcus granulosus as a model to study the molecular basis of the host-parasite cross-talk during cestode infections. For this purpose, we carried out a survey of the genes expressed by parasite larval stages interfacing with definitive and intermediate hosts. Sequencing from several high quality cDNA libraries provided numerous insights into the expression of genes involved in important aspects of E. granulosus biology, e.g. its metabolism (energy production and antioxidant defences) and the synthesis of key parasite structures (notably, the one exposed to humans and livestock intermediate hosts). Our results also uncovered the existence of an intriguing set of abundant repeat-associated non-protein coding transcripts that may participate in the regulation of gene expression in all surveyed stages. The dataset now generated constitutes a valuable resource for gene prediction on the parasite genome and for further genomic and proteomic studies focused on cestodes and platyhelminths. In particular, the detailed characterization of a range of newly discovered genes will contribute to a better understanding of the biology of cestode infections and, therefore, to the development of products allowing their efficient control.
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Affiliation(s)
- John Parkinson
- Program in Molecular Structure and Function, Hospital for Sick Children, University of Toronto, Toronto, Canada
| | - James D. Wasmuth
- Program in Molecular Structure and Function, Hospital for Sick Children, University of Toronto, Toronto, Canada
| | - Gustavo Salinas
- Cátedra de Inmunología, Facultad de Química, Universidad de la República, Montevideo, Uruguay
| | - Cristiano V. Bizarro
- Laboratório de Biologia Molecular de Cestódeos and Laboratorio de Genômica Estrutural e Funcional, Centro de Biotecnologia, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Chris Sanford
- Program in Molecular Structure and Function, Hospital for Sick Children, University of Toronto, Toronto, Canada
| | - Matthew Berriman
- Parasite Genomics, The Wellcome Trust Sanger Institute, Hinxton, United Kingdom
| | - Henrique B. Ferreira
- Laboratório de Biologia Molecular de Cestódeos and Laboratorio de Genômica Estrutural e Funcional, Centro de Biotecnologia, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Arnaldo Zaha
- Laboratório de Biologia Molecular de Cestódeos and Laboratorio de Genômica Estrutural e Funcional, Centro de Biotecnologia, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Mark L. Blaxter
- Institute of Evolutionary Biology, School of Biological Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Rick M. Maizels
- Institute of Immunology and Infection Research, School of Biological Sciences, University of Edinburgh, Edinburgh, United Kingdom
- * E-mail: (RMM); (CF)
| | - Cecilia Fernández
- Cátedra de Inmunología, Facultad de Química, Universidad de la República, Montevideo, Uruguay
- * E-mail: (RMM); (CF)
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1691
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Chen G, Wang Z, Wang D, Qiu C, Liu M, Chen X, Zhang Q, Yan G, Cui Q. LncRNADisease: a database for long-non-coding RNA-associated diseases. Nucleic Acids Res 2012; 41:D983-6. [PMID: 23175614 PMCID: PMC3531173 DOI: 10.1093/nar/gks1099] [Citation(s) in RCA: 684] [Impact Index Per Article: 52.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023] Open
Abstract
In this article, we describe a long-non-coding RNA (lncRNA) and disease association database (LncRNADisease), which is publicly accessible at http://cmbi.bjmu.edu.cn/lncrnadisease. In recent years, a large number of lncRNAs have been identified and increasing evidence shows that lncRNAs play critical roles in various biological processes. Therefore, the dysfunctions of lncRNAs are associated with a wide range of diseases. It thus becomes important to understand lncRNAs' roles in diseases and to identify candidate lncRNAs for disease diagnosis, treatment and prognosis. For this purpose, a high-quality lncRNA-disease association database would be extremely beneficial. Here, we describe the LncRNADisease database that collected and curated approximately 480 entries of experimentally supported lncRNA-disease associations, including 166 diseases. LncRNADisease also curated 478 entries of lncRNA interacting partners at various molecular levels, including protein, RNA, miRNA and DNA. Moreover, we annotated lncRNA-disease associations with genomic information, sequences, references and species. We normalized the disease name and the type of lncRNA dysfunction and provided a detailed description for each entry. Finally, we developed a bioinformatic method to predict novel lncRNA-disease associations and integrated the method and the predicted associated diseases of 1564 human lncRNAs into the database.
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Affiliation(s)
- Geng Chen
- Department of Biomedical Informatics, School of Basic Medical Sciences, Peking University, China
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1692
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1 0 8. Cancer Biomark 2012. [DOI: 10.1201/b14318-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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1693
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Siprashvili Z, Webster DE, Kretz M, Johnston D, Rinn JL, Chang HY, Khavari PA. Identification of proteins binding coding and non-coding human RNAs using protein microarrays. BMC Genomics 2012; 13:633. [PMID: 23157412 PMCID: PMC3562209 DOI: 10.1186/1471-2164-13-633] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2012] [Accepted: 11/11/2012] [Indexed: 12/02/2022] Open
Abstract
Background The regulation and function of mammalian RNAs has been increasingly appreciated to operate via RNA-protein interactions. With the recent discovery of thousands of novel human RNA molecules by high-throughput RNA sequencing, efficient methods to uncover RNA-protein interactions are urgently required. Existing methods to study proteins associated with a given RNA are laborious and require substantial amounts of cell-derived starting material. To overcome these limitations, we have developed a rapid and large-scale approach to characterize binding of in vitro transcribed labeled RNA to ~9,400 human recombinant proteins spotted on protein microarrays. Results We have optimized methodology to probe human protein microarrays with full-length RNA molecules and have identified 137 RNA-protein interactions specific for 10 coding and non-coding RNAs. Those proteins showed strong enrichment for common human RNA binding domains such as RRM, RBD, as well as K homology and CCCH type zinc finger motifs. Previously unknown RNA-protein interactions were discovered using this technique, and these interactions were biochemically verified between TP53 mRNA and Staufen1 protein as well as between HRAS mRNA and CNBP protein. Functional characterization of the interaction between Staufen 1 protein and TP53 mRNA revealed a novel role for Staufen 1 in preserving TP53 RNA stability. Conclusions Our approach demonstrates a scalable methodology, allowing rapid and efficient identification of novel human RNA-protein interactions using RNA hybridization to human protein microarrays. Biochemical validation of newly identified interactions between TP53-Stau1 and HRAS-CNBP using reciprocal pull-down experiments, both in vitro and in vivo, demonstrates the utility of this approach to study uncharacterized RNA-protein interactions.
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Affiliation(s)
- Zurab Siprashvili
- The Program in Epithelial Biology, Stanford University School of Medicine, 269 Campus Drive, Room 2145, Stanford, CA 94305, USA
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1694
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Li A, Wei G, Wang Y, Zhou Y, Zhang XE, Bi L, Chen R. Identification of intermediate-size non-coding RNAs involved in the UV-induced DNA damage response in C. elegans. PLoS One 2012; 7:e48066. [PMID: 23144846 PMCID: PMC3492359 DOI: 10.1371/journal.pone.0048066] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2012] [Accepted: 09/19/2012] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND A network of DNA damage response (DDR) mechanisms functions coordinately to maintain genome integrity and prevent disease. The Nucleotide Excision Repair (NER) pathway is known to function in the response to UV-induced DNA damage. Although numbers of coding genes and miRNAs have been identified and reported to participate in UV-induced DNA damage response (UV-DDR), the precise role of non-coding RNAs (ncRNAs) in UV-DDR remains largely unknown. METHODOLOGY/PRINCIPAL FINDINGS We used high-throughput RNA-sequencing (RNA-Seq) to discover intermediate-size (70-500 nt) ncRNAs (is-ncRNAs) in C. elegans, using the strains of L4 larvae of wild-type (N2), UV-irradiated (N2/UV100) and NER-deficient mutant (xpa-1), and 450 novel non-coding transcripts were initially identified. A customized microarray assay was then applied to examine the expression profiles of both novel transcripts and known is-ncRNAs, and 57 UV-DDR-related is-ncRNA candidates showed expression variations at different levels between UV irradiated strains and non- irradiated strains. The top ranked is-ncRNA candidates with expression differences were further validated by qRT-PCR analysis, of them, 8 novel is-ncRNAs were significantly up-regulated after UV irradiation. Knockdown of two novel is-ncRNAs, ncRNA317 and ncRNA415, by RNA interference, resulted in higher UV sensitivity and significantly decreased expression of NER-related genes in C. elegans. CONCLUSIONS/SIGNIFICANCE The discovery of above two novel is-ncRNAs in this study indicated the functional roles of is-ncRNAs in the regulation of UV-DDR network, and aided our understanding of the significance of ncRNA involvement in the UV-induced DNA damage response.
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Affiliation(s)
- Aqian Li
- Laboratory of Non-coding RNA, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
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1695
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Lee C, Kikyo N. Strategies to identify long noncoding RNAs involved in gene regulation. Cell Biosci 2012; 2:37. [PMID: 23126680 PMCID: PMC3499186 DOI: 10.1186/2045-3701-2-37] [Citation(s) in RCA: 65] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2012] [Accepted: 11/01/2012] [Indexed: 01/09/2023] Open
Abstract
Long noncoding RNAs (lncRNAs) have been detected in nearly every cell type and found to be fundamentally involved in many biological processes. The characterization of lncRNAs has immense potential to advance our comprehensive understanding of cellular processes and gene regulation, along with implications for the treatment of human disease. The recent ENCODE (Encyclopedia of DNA Elements) study reported 9,640 lncRNA loci in the human genome, which corresponds to around half the number of protein-coding genes. Because of this sheer number and their functional diversity, it is crucial to identify a pool of potentially relevant lncRNAs early on in a given study. In this review, we evaluate the methods for isolating lncRNAs by immunoprecipitation and review the advantages, disadvantages, and applications of three widely used approaches – microarray, tiling array, and RNA-seq – for identifying lncRNAs involved in gene regulation. We also look at ways in which data from publicly available databases such as ENCODE can support the study of lncRNAs.
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Affiliation(s)
- Catherine Lee
- Stem Cell Institute, Department of Genetics, Cell Biology and Development, University of Minnesota, Room 2-216, MTRF, 2001 6th St, SE, Minneapolis, MN, 55455, USA.
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1696
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Schonrock N, Götz J. Decoding the non-coding RNAs in Alzheimer's disease. Cell Mol Life Sci 2012; 69:3543-59. [PMID: 22955374 PMCID: PMC11114718 DOI: 10.1007/s00018-012-1125-z] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2012] [Revised: 08/09/2012] [Accepted: 08/09/2012] [Indexed: 01/28/2023]
Abstract
Non-coding RNAs (ncRNAs) are integral components of biological networks with fundamental roles in regulating gene expression. They can integrate sequence information from the DNA code, epigenetic regulation and functions of multimeric protein complexes to potentially determine the epigenetic status and transcriptional network in any given cell. Humans potentially contain more ncRNAs than any other species, especially in the brain, where they may well play a significant role in human development and cognitive ability. This review discusses their emerging role in Alzheimer's disease (AD), a human pathological condition characterized by the progressive impairment of cognitive functions. We discuss the complexity of the ncRNA world and how this is reflected in the regulation of the amyloid precursor protein and Tau, two proteins with central functions in AD. By understanding this intricate regulatory network, there is hope for a better understanding of disease mechanisms and ultimately developing diagnostic and therapeutic tools.
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Affiliation(s)
- Nicole Schonrock
- Victor Chang Cardiac Research Institute (VCCRI), Darlinghurst, NSW 2010, Australia.
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1697
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Barrett LW, Fletcher S, Wilton SD. Regulation of eukaryotic gene expression by the untranslated gene regions and other non-coding elements. Cell Mol Life Sci 2012; 69:3613-34. [PMID: 22538991 PMCID: PMC3474909 DOI: 10.1007/s00018-012-0990-9] [Citation(s) in RCA: 390] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2011] [Revised: 02/28/2012] [Accepted: 04/02/2012] [Indexed: 02/07/2023]
Abstract
There is now compelling evidence that the complexity of higher organisms correlates with the relative amount of non-coding RNA rather than the number of protein-coding genes. Previously dismissed as "junk DNA", it is the non-coding regions of the genome that are responsible for regulation, facilitating complex temporal and spatial gene expression through the combinatorial effect of numerous mechanisms and interactions working together to fine-tune gene expression. The major regions involved in regulation of a particular gene are the 5' and 3' untranslated regions and introns. In addition, pervasive transcription of complex genomes produces a variety of non-coding transcripts that interact with these regions and contribute to regulation. This review discusses recent insights into the regulatory roles of the untranslated gene regions and non-coding RNAs in the control of complex gene expression, as well as the implications of this in terms of organism complexity and evolution.
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Affiliation(s)
- Lucy W Barrett
- Centre for Neuromuscular and Neurological Disorders (CNND), The University of Western Australia (M518), 35 Stirling Highway, Crawley, WA 6009, Australia.
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1698
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Bu Q, Hu Z, Chen F, Zhu R, Deng Y, Shao X, Li Y, Zhao J, Li H, Zhang B, Lv L, Yan G, Zhao Y, Cen X. Transcriptome analysis of long non-coding RNAs of the nucleus accumbens in cocaine-conditioned mice. J Neurochem 2012; 123:790-9. [PMID: 22957495 DOI: 10.1111/jnc.12006] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2012] [Revised: 07/16/2012] [Accepted: 08/30/2012] [Indexed: 02/05/2023]
Abstract
Cocaine dependence involves in the brain's reward circuit as well as nucleus accumbens (NAc), a key region of the mesolimbic dopamine pathway. Many studies have documented altered expression of genes and identified transcription factor networks and epigenetic processes that are fundamental to cocaine addiction. However, all these investigations have focused on mRNA of encoding genes, which may not always reflect the involvement of long non-coding RNAs (lncRNAs), which has been implied in a broad range of biological processes and complex diseases including brain development and neuropathological process. To explore the potential involvement of lncRNAs in drug addiction, which is viewed as a form of aberrant neuroplasticity, we used a custom-designed microarray to examine the expression profiles of mRNAs and lncRNAs in brain NAc of cocaine-conditioned mice and identified 764 mRNAs, and 603 lncRNAs were differentially expressed. Candidate lncRNAs were identified for further genomic context characterization as sense-overlap, antisense-overlap, intergenic, bidirection, and ultra-conserved region encoding lncRNAs. We found that 410 candidate lncRNAs which have been reported to act in cis or trans to their targeted loci, providing 48 pair mRNA-lncRNAs. These results suggest that the modification of mRNAs expression by cocaine may be associated with the actions of lncRNAs. Taken together, our results show that cocaine can cause the genome-wide alterations of lncRNAs expressed in NAc, and some of these modified RNA transcripts may to play a role in cocaine-induced neural plasticity and addiction.
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Affiliation(s)
- Qian Bu
- National Chengdu Center for Safety Evaluation of Drugs, State Key Lab of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
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1699
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Abstract
Recent large-scale transcriptome analyses have revealed that transcription is spread throughout the mammalian genomes, yielding large numbers of transcripts, including long non-coding RNAs (lncRNAs) with little or no protein-coding capacity. Dozens of lncRNAs have been identified as biologically significant. In many cases, lncRNAs act as key molecules in the regulation of processes such as chromatin remodeling, transcription, and post-transcriptional processing. Several lncRNAs (e.g., MALAT1, HOTAIR, and ANRIL) are associated with human diseases, including cancer. Those lncRNAs associated with cancer are often aberrantly expressed. Although the underlying molecular mechanisms by which lncRNAs regulate cancer development are unclear, recent studies have revealed that such aberrant expression of lncRNAs affects the progression of cancers. In this review, we highlight recent findings regarding the roles of lncRNAs in cancer biology.
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Affiliation(s)
- Keiko Tano
- Radioisotope Center, The University of Tokyo Tokyo, Japan
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1700
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Abstract
Small RNAs play a variety of regulatory roles, including highly conserved developmental functions. Caenorhabditis elegans not only possesses most known small RNA pathways, it is also an easy system to study their roles and interactions during development. It has been proposed that in C. elegans, some small RNA pathways compete for access to common limiting resources. The strongest evidence supporting this model is that disrupting the production or stability of endogenous short interfering RNAs (endo-siRNAs) enhances sensitivity to experimentally induced exogenous RNA interference (exo-RNAi). Here, we examine the relationship between the endo-siRNA and microRNA (miRNA) pathways, and find that, consistent with competition among these endogenous small RNA pathways, endo-siRNA pathway mutants may enhance miRNA efficacy. Furthermore, we show that exo-RNAi may also compete with both endo-siRNAs and miRNAs. Our data thus provide support that all known Dicer-dependent small RNA pathways may compete for limiting common resources. Finally, we observed that both endo-siRNA mutants and animals experiencing exo-RNAi have increased expression of miRNA-regulated stage-specific developmental genes. These observations suggest that perturbing the small RNA flux and/or the induction of exo-RNAi, even in wild-type animals, may impact development via effects on the endo-RNAi and microRNA pathways.
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Affiliation(s)
| | - Craig P. Hunter
- Author to whom correspondence should be addressed; E-Mail: ; Tel.: +1-617-495-8309; Fax: +1-617-496-0132
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