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      Long noncoding RNA HOTAIR reprograms chromatin state to promote cancer metastasis

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          Abstract

          Large intervening noncoding RNAs (lincRNAs) are pervasively transcribed in the genome 1, 2, 3 yet their potential involvement in human disease is not well understood 4, 5. Recent studies of dosage compensation, imprinting, and homeotic gene expression suggest that individual lincRNAs can function as the interface between DNA and specific chromatin remodeling activities 6, 7, 8. Here we show that lincRNAs in the HOX loci become systematically dysregulated during breast cancer progression. The lincRNA termed HOTAIR is increased in expression in primary breast tumors and metastases, and HOTAIR expression level in primary tumors is a powerful predictor of eventual metastasis and death. Enforced expression of HOTAIR in epithelial cancer cells induced genome-wide re-targeting of Polycomb Repressive Complex 2 (PRC2) to an occupancy pattern more resembling embryonic fibroblasts, leading to altered histone H3 lysine 27 methylation, gene expression, and increased cancer invasiveness and metastasis in a manner dependent on PRC2. Conversely, loss of HOTAIR can inhibit cancer invasiveness, particularly in cells that possess excessive PRC2 activity. These findings suggest that lincRNAs play active roles in modulating the cancer epigenome and may be important targets for cancer diagnosis and therapy.

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          Most cited references17

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          Gene Ontology: tool for the unification of biology

          Genomic sequencing has made it clear that a large fraction of the genes specifying the core biological functions are shared by all eukaryotes. Knowledge of the biological role of such shared proteins in one organism can often be transferred to other organisms. The goal of the Gene Ontology Consortium is to produce a dynamic, controlled vocabulary that can be applied to all eukaryotes even as knowledge of gene and protein roles in cells is accumulating and changing. To this end, three independent ontologies accessible on the World-Wide Web (http://www.geneontology.org) are being constructed: biological process, molecular function and cellular component.
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            Cluster analysis and display of genome-wide expression patterns.

            A system of cluster analysis for genome-wide expression data from DNA microarray hybridization is described that uses standard statistical algorithms to arrange genes according to similarity in pattern of gene expression. The output is displayed graphically, conveying the clustering and the underlying expression data simultaneously in a form intuitive for biologists. We have found in the budding yeast Saccharomyces cerevisiae that clustering gene expression data groups together efficiently genes of known similar function, and we find a similar tendency in human data. Thus patterns seen in genome-wide expression experiments can be interpreted as indications of the status of cellular processes. Also, coexpression of genes of known function with poorly characterized or novel genes may provide a simple means of gaining leads to the functions of many genes for which information is not available currently.
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              The transcriptional landscape of the mammalian genome.

              This study describes comprehensive polling of transcription start and termination sites and analysis of previously unidentified full-length complementary DNAs derived from the mouse genome. We identify the 5' and 3' boundaries of 181,047 transcripts with extensive variation in transcripts arising from alternative promoter usage, splicing, and polyadenylation. There are 16,247 new mouse protein-coding transcripts, including 5154 encoding previously unidentified proteins. Genomic mapping of the transcriptome reveals transcriptional forests, with overlapping transcription on both strands, separated by deserts in which few transcripts are observed. The data provide a comprehensive platform for the comparative analysis of mammalian transcriptional regulation in differentiation and development.
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                Author and article information

                Journal
                0410462
                6011
                Nature
                Nature
                0028-0836
                1476-4687
                9 March 2010
                15 April 2010
                8 March 2011
                : 464
                : 7291
                : 1071-1076
                Affiliations
                [1 ] Howard Hughes Medical Institute and Program in Epithelial Biology, Stanford University School of Medicine, Stanford, CA 94305, USA
                [2 ] Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA
                [3 ] Stanford Comprehensive Cancer Center and Transgenic Mouse Research Center, Stanford University School of Medicine, Stanford, CA 94305, USA
                [4 ] Dept. of Pathology, Academic Medical Center, Meibergdreef 9, 1105AZ, Amsterdam, The Netherlands
                [5 ] Dept. of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA
                [6 ] The Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, MA 02142, USA
                [7 ] Applied Biosystems, Foster City, CA 94404, USA
                [8 ] Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA
                Author notes
                Correspondence and request for materials should beaddressed to H.Y.C. ( howchang@ 123456stanford.edu )
                Article
                nihpa183311
                10.1038/nature08975
                3049919
                20393566
                e823bf97-49e4-4922-a5cd-bf2109fe3426

                Users may view, print, copy, download and text and data- mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms

                History
                Funding
                Funded by: National Human Genome Research Institute : NHGRI
                Funded by: National Cancer Institute : NCI
                Award ID: R01 HG004361-03 ||HG
                Funded by: National Human Genome Research Institute : NHGRI
                Funded by: National Cancer Institute : NCI
                Award ID: R01 CA118750-03 ||CA
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