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      Topological Organization of Multi-chromosomal Regions by Firre

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          Abstract

          RNA is known to be an abundant and important structural component of the nuclear matrix, including long noncoding RNAs (lncRNA). Yet the molecular identities, functional roles, and localization dynamics of lncRNAs that influence nuclear architecture remain poorly understood. Here, we describe one lncRNA, Firre, that interacts with the nuclear matrix factor hnRNPU, through a 156 bp repeating sequence and Firre localizes across a ~5 Mb domain on the X-chromosome. We further observed Firre localization across at least five distinct trans-chromosomal loci, which reside in spatial proximity to the Firre genomic locus on the X-chromosome. Both genetic deletion of the Firre locus or knockdown of hnRNPU resulted in loss of co-localization of these trans-chromosomal interacting loci. Thus, our data suggest a model in which lncRNAs such as Firre can interface with and modulate nuclear architecture across chromosomes.

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          Most cited references35

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          Long noncoding RNA as modular scaffold of histone modification complexes.

          Long intergenic noncoding RNAs (lincRNAs) regulate chromatin states and epigenetic inheritance. Here, we show that the lincRNA HOTAIR serves as a scaffold for at least two distinct histone modification complexes. A 5' domain of HOTAIR binds polycomb repressive complex 2 (PRC2), whereas a 3' domain of HOTAIR binds the LSD1/CoREST/REST complex. The ability to tether two distinct complexes enables RNA-mediated assembly of PRC2 and LSD1 and coordinates targeting of PRC2 and LSD1 to chromatin for coupled histone H3 lysine 27 methylation and lysine 4 demethylation. Our results suggest that lincRNAs may serve as scaffolds by providing binding surfaces to assemble select histone modification enzymes, thereby specifying the pattern of histone modifications on target genes.
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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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              Ab initio reconstruction of transcriptomes of pluripotent and lineage committed cells reveals gene structures of thousands of lincRNAs

              RNA-Seq provides an unbiased way to study a transcriptome, including both coding and non-coding genes. To date, most RNA-Seq studies have critically depended on existing annotations, and thus focused on expression levels and variation in known transcripts. Here, we present Scripture, a method to reconstruct the transcriptome of a mammalian cell using only RNA-Seq reads and the genome sequence. We apply it to mouse embryonic stem cells, neuronal precursor cells, and lung fibroblasts to accurately reconstruct the full-length gene structures for the vast majority of known expressed genes. We identify substantial variation in protein-coding genes, including thousands of novel 5′-start sites, 3′-ends, and internal coding exons. We then determine the gene structures of over a thousand lincRNA and antisense loci. Our results open the way to direct experimental manipulation of thousands of non-coding RNAs, and demonstrate the power of ab initio reconstruction to render a comprehensive picture of mammalian transcriptomes.
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                Author and article information

                Journal
                101186374
                31761
                Nat Struct Mol Biol
                Nat. Struct. Mol. Biol.
                Nature structural & molecular biology
                1545-9993
                1545-9985
                14 February 2014
                26 January 2014
                February 2014
                01 August 2014
                : 21
                : 2
                : 198-206
                Affiliations
                [1 ]Department of Molecular and Cellular Biology, Harvard University, Cambridge, Massachusetts, USA
                [2 ]Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, Massachusetts, USA
                [3 ]Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts, USA
                [4 ]Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
                [5 ]Department of Immunobiology, Yale University School of Medicine, New Haven, Connecticut, USA
                [6 ]Whitehead Institute for Biomedical Research, Cambridge, Massachusetts, USA
                [7 ]Department of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, USA
                [8 ]Department of Biology, California Institute of Technology, Pasadena, California, USA
                [9 ]Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
                [10 ]Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
                [11 ]Howard Hughes Medical Institute, Boston, Massachusetts, USA
                [12 ]Department of Pathology, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
                Author notes
                [14 ]Corresponding author: johnrinn@ 123456fas.harvard.edu
                [13]

                Authors contributed equally to this work.

                Article
                NIHMS552629
                10.1038/nsmb.2764
                3950333
                24463464
                abf3a630-0164-4df3-819a-eb8fdcc6a8b4

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                Molecular biology
                Molecular biology

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