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  • 1
    Publication Date: 2010-09-03
    Description: The structures of RNA molecules are often important for their function and regulation, yet there are no experimental techniques for genome-scale measurement of RNA structure. Here we describe a novel strategy termed parallel analysis of RNA structure (PARS), which is based on deep sequencing fragments of RNAs that were treated with structure-specific enzymes, thus providing simultaneous in vitro profiling of the secondary structure of thousands of RNA species at single nucleotide resolution. We apply PARS to profile the secondary structure of the messenger RNAs (mRNAs) of the budding yeast Saccharomyces cerevisiae and obtain structural profiles for over 3,000 distinct transcripts. Analysis of these profiles reveals several RNA structural properties of yeast transcripts, including the existence of more secondary structure over coding regions compared with untranslated regions, a three-nucleotide periodicity of secondary structure across coding regions and an anti-correlation between the efficiency with which an mRNA is translated and the structure over its translation start site. PARS is readily applicable to other organisms and to profiling RNA structure in diverse conditions, thus enabling studies of the dynamics of secondary structure at a genomic scale.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3847670/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3847670/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Kertesz, Michael -- Wan, Yue -- Mazor, Elad -- Rinn, John L -- Nutter, Robert C -- Chang, Howard Y -- Segal, Eran -- R01 HG004361/HG/NHGRI NIH HHS/ -- R01HG004361/HG/NHGRI NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2010 Sep 2;467(7311):103-7. doi: 10.1038/nature09322.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/20811459" target="_blank"〉PubMed〈/a〉
    Keywords: Base Sequence ; *Genetic Techniques ; Genome-Wide Association Study ; Molecular Sequence Data ; *Nucleic Acid Conformation ; RNA, Fungal/*chemistry ; RNA, Messenger/*chemistry ; Saccharomyces cerevisiae/*chemistry/*genetics ; Transcription, Genetic
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    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 2009-02-03
    Description: There is growing recognition that mammalian cells produce many thousands of large intergenic transcripts. However, the functional significance of these transcripts has been particularly controversial. Although there are some well-characterized examples, most (〉95%) show little evidence of evolutionary conservation and have been suggested to represent transcriptional noise. Here we report a new approach to identifying large non-coding RNAs using chromatin-state maps to discover discrete transcriptional units intervening known protein-coding loci. Our approach identified approximately 1,600 large multi-exonic RNAs across four mouse cell types. In sharp contrast to previous collections, these large intervening non-coding RNAs (lincRNAs) show strong purifying selection in their genomic loci, exonic sequences and promoter regions, with greater than 95% showing clear evolutionary conservation. We also developed a functional genomics approach that assigns putative functions to each lincRNA, demonstrating a diverse range of roles for lincRNAs in processes from embryonic stem cell pluripotency to cell proliferation. We obtained independent functional validation for the predictions for over 100 lincRNAs, using cell-based assays. In particular, we demonstrate that specific lincRNAs are transcriptionally regulated by key transcription factors in these processes such as p53, NFkappaB, Sox2, Oct4 (also known as Pou5f1) and Nanog. Together, these results define a unique collection of functional lincRNAs that are highly conserved and implicated in diverse biological processes.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2754849/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2754849/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Guttman, Mitchell -- Amit, Ido -- Garber, Manuel -- French, Courtney -- Lin, Michael F -- Feldser, David -- Huarte, Maite -- Zuk, Or -- Carey, Bryce W -- Cassady, John P -- Cabili, Moran N -- Jaenisch, Rudolf -- Mikkelsen, Tarjei S -- Jacks, Tyler -- Hacohen, Nir -- Bernstein, Bradley E -- Kellis, Manolis -- Regev, Aviv -- Rinn, John L -- Lander, Eric S -- DP1 OD003958/OD/NIH HHS/ -- R01 HG004037/HG/NHGRI NIH HHS/ -- R01 HG004037-02/HG/NHGRI NIH HHS/ -- U54 HG003067/HG/NHGRI NIH HHS/ -- U54 HG003067-05/HG/NHGRI NIH HHS/ -- England -- Nature. 2009 Mar 12;458(7235):223-7. doi: 10.1038/nature07672. Epub 2009 Feb 1.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Broad Institute of MIT and Harvard, 7 Cambridge Center, Cambridge, Massachusetts 02142, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19182780" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Base Sequence ; Cells, Cultured ; Chromatin/*genetics ; *Conserved Sequence/genetics ; DNA, Intergenic ; Exons/genetics ; Mammals/*genetics ; Mice ; Promoter Regions, Genetic/genetics ; RNA/*genetics ; Reproducibility of Results ; Transcription Factors/metabolism
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  • 3
    Publication Date: 2014-12-24
    Description: Models derived from human pluripotent stem cells that accurately recapitulate neural development in vitro and allow for the generation of specific neuronal subtypes are of major interest to the stem cell and biomedical community. Notch signalling, particularly through the Notch effector HES5, is a major pathway critical for the onset and maintenance of neural progenitor cells in the embryonic and adult nervous system. Here we report the transcriptional and epigenomic analysis of six consecutive neural progenitor cell stages derived from a HES5::eGFP reporter human embryonic stem cell line. Using this system, we aimed to model cell-fate decisions including specification, expansion and patterning during the ontogeny of cortical neural stem and progenitor cells. In order to dissect regulatory mechanisms that orchestrate the stage-specific differentiation process, we developed a computational framework to infer key regulators of each cell-state transition based on the progressive remodelling of the epigenetic landscape and then validated these through a pooled short hairpin RNA screen. We were also able to refine our previous observations on epigenetic priming at transcription factor binding sites and suggest here that they are mediated by combinations of core and stage-specific factors. Taken together, we demonstrate the utility of our system and outline a general framework, not limited to the context of the neural lineage, to dissect regulatory circuits of differentiation.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4336237/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4336237/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Ziller, Michael J -- Edri, Reuven -- Yaffe, Yakey -- Donaghey, Julie -- Pop, Ramona -- Mallard, William -- Issner, Robbyn -- Gifford, Casey A -- Goren, Alon -- Xing, Jeffrey -- Gu, Hongcang -- Cacchiarelli, Davide -- Tsankov, Alexander M -- Epstein, Charles -- Rinn, John L -- Mikkelsen, Tarjei S -- Kohlbacher, Oliver -- Gnirke, Andreas -- Bernstein, Bradley E -- Elkabetz, Yechiel -- Meissner, Alexander -- F32 DK095537/DK/NIDDK NIH HHS/ -- HG006911/HG/NHGRI NIH HHS/ -- P01 GM099117/GM/NIGMS NIH HHS/ -- P01GM099117/GM/NIGMS NIH HHS/ -- U01 ES017155/ES/NIEHS NIH HHS/ -- U01ES017155/ES/NIEHS NIH HHS/ -- U54 HG006991/HG/NHGRI NIH HHS/ -- England -- Nature. 2015 Feb 19;518(7539):355-9. doi: 10.1038/nature13990. Epub 2014 Dec 24.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA [2] Harvard Stem Cell Institute, Cambridge, Massachusetts 02138, USA [3] Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, Massachusetts 02138, USA. ; Department of Cell and Developmental Biology, Sackler School of Medicine, Tel Aviv University, Ramat Aviv 6997801, Israel. ; 1] Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA [2] Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, Massachusetts 02138, USA. ; Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA. ; 1] Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA [2] Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts 02114, USA [3] Center for Systems Biology and Center for Cancer Research, Massachusetts General Hospital, Boston, Massachusetts 02114, USA. ; Applied Bioinformatics, Center for Bioinformatics and Quantitative Biology Center, University of Tubingen, Tubingen 72076, Germany.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25533951" target="_blank"〉PubMed〈/a〉
    Keywords: Binding Sites ; Cell Differentiation/*genetics ; Cell Lineage/genetics ; Embryonic Stem Cells/*cytology/metabolism ; Epigenesis, Genetic/*genetics ; Epigenomics/*methods ; Humans ; Neural Stem Cells/*cytology/*metabolism ; RNA, Small Interfering/analysis/genetics ; Reproducibility of Results ; Transcription Factors/metabolism ; Transcription, Genetic/genetics
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  • 4
    Publication Date: 2004-11-13
    Description: Elucidating the transcribed regions of the genome constitutes a fundamental aspect of human biology, yet this remains an outstanding problem. To comprehensively identify coding sequences, we constructed a series of high-density oligonucleotide tiling arrays representing sense and antisense strands of the entire nonrepetitive sequence of the human genome. Transcribed sequences were located across the genome via hybridization to complementary DNA samples, reverse-transcribed from polyadenylated RNA obtained from human liver tissue. In addition to identifying many known and predicted genes, we found 10,595 transcribed sequences not detected by other methods. A large fraction of these are located in intergenic regions distal from previously annotated genes and exhibit significant homology to other mammalian proteins.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Bertone, Paul -- Stolc, Viktor -- Royce, Thomas E -- Rozowsky, Joel S -- Urban, Alexander E -- Zhu, Xiaowei -- Rinn, John L -- Tongprasit, Waraporn -- Samanta, Manoj -- Weissman, Sherman -- Gerstein, Mark -- Snyder, Michael -- P50 HG02357/HG/NHGRI NIH HHS/ -- New York, N.Y. -- Science. 2004 Dec 24;306(5705):2242-6. Epub 2004 Nov 11.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, CT 06520-8103, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/15539566" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Base Sequence ; Computational Biology ; Conserved Sequence ; CpG Islands ; DNA, Complementary ; DNA, Intergenic ; Databases, Genetic ; Exons ; *Genome, Human ; Humans ; Introns ; Mice ; Nucleic Acid Hybridization ; Oligonucleotide Array Sequence Analysis/*methods ; Oligonucleotide Probes ; Proteins/chemistry/genetics ; RNA, Messenger/genetics ; Reproducibility of Results ; Reverse Transcriptase Polymerase Chain Reaction ; Sequence Homology, Nucleic Acid ; *Transcription, Genetic
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 5
    Publication Date: 2012-12-04
    Description: Several of the thousands of human long non-coding RNAs (lncRNAs) have been functionally characterized; however, potential roles for lncRNAs in somatic tissue differentiation remain poorly understood. Here we show that a 3.7-kilobase lncRNA, terminal differentiation-induced ncRNA (TINCR), controls human epidermal differentiation by a post-transcriptional mechanism. TINCR is required for high messenger RNA abundance of key differentiation genes, many of which are mutated in human skin diseases, including FLG, LOR, ALOXE3, ALOX12B, ABCA12, CASP14 and ELOVL3. TINCR-deficient epidermis lacked terminal differentiation ultrastructure, including keratohyalin granules and intact lamellar bodies. Genome-scale RNA interactome analysis revealed that TINCR interacts with a range of differentiation mRNAs. TINCR-mRNA interaction occurs through a 25-nucleotide 'TINCR box' motif that is strongly enriched in interacting mRNAs and required for TINCR binding. A high-throughput screen to analyse TINCR binding capacity to approximately 9,400 human recombinant proteins revealed direct binding of TINCR RNA to the staufen1 (STAU1) protein. STAU1-deficient tissue recapitulated the impaired differentiation seen with TINCR depletion. Loss of UPF1 and UPF2, both of which are required for STAU1-mediated RNA decay, however, did not have differentiation effects. Instead, the TINCR-STAU1 complex seems to mediate stabilization of differentiation mRNAs, such as KRT80. These data identify TINCR as a key lncRNA required for somatic tissue differentiation, which occurs through lncRNA binding to differentiation mRNAs to ensure their expression.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3674581/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3674581/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Kretz, Markus -- Siprashvili, Zurab -- Chu, Ci -- Webster, Dan E -- Zehnder, Ashley -- Qu, Kun -- Lee, Carolyn S -- Flockhart, Ross J -- Groff, Abigail F -- Chow, Jennifer -- Johnston, Danielle -- Kim, Grace E -- Spitale, Robert C -- Flynn, Ryan A -- Zheng, Grace X Y -- Aiyer, Subhadra -- Raj, Arjun -- Rinn, John L -- Chang, Howard Y -- Khavari, Paul A -- AR49737/AR/NIAMS NIH HHS/ -- DP2 OD008514/OD/NIH HHS/ -- P30 CA124435/CA/NCI NIH HHS/ -- R01 AR049737/AR/NIAMS NIH HHS/ -- R01 HG004361/HG/NHGRI NIH HHS/ -- R01-HG004361/HG/NHGRI NIH HHS/ -- T32 AR007422/AR/NIAMS NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2013 Jan 10;493(7431):231-5. doi: 10.1038/nature11661. Epub 2012 Dec 2.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉The Program in Epithelial Biology, Stanford University School of Medicine, Stanford, California 94305, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23201690" target="_blank"〉PubMed〈/a〉
    Keywords: Base Sequence ; Cell Differentiation/*genetics ; Cells, Cultured ; Cytoskeletal Proteins/metabolism ; Epidermis/*cytology/*metabolism ; Gene Expression Regulation ; High-Throughput Screening Assays ; Humans ; Keratinocytes ; Mutation ; Nucleotide Motifs/genetics ; Protein Binding ; RNA Stability/genetics ; RNA, Long Noncoding/*genetics/*metabolism ; RNA, Messenger/genetics/metabolism ; RNA-Binding Proteins/metabolism ; Skin Diseases/genetics
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  • 6
    Publication Date: 2012-02-18
    Description: It is clear that RNA has a diverse set of functions and is more than just a messenger between gene and protein. The mammalian genome is extensively transcribed, giving rise to thousands of non-coding transcripts. Whether all of these transcripts are functional is debated, but it is evident that there are many functional large non-coding RNAs (ncRNAs). Recent studies have begun to explore the functional diversity and mechanistic role of these large ncRNAs. Here we synthesize these studies to provide an emerging model whereby large ncRNAs might achieve regulatory specificity through modularity, assembling diverse combinations of proteins and possibly RNA and DNA interactions.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4197003/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4197003/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Guttman, Mitchell -- Rinn, John L -- P01 GM099117/GM/NIGMS NIH HHS/ -- R01 ES020260/ES/NIEHS NIH HHS/ -- England -- Nature. 2012 Feb 15;482(7385):339-46. doi: 10.1038/nature10887.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Broad Institute of MIT and Harvard, 7 Cambridge Center, Cambridge, Massachusetts 02142, USA. mguttman@mit.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22337053" target="_blank"〉PubMed〈/a〉
    Keywords: Chromatin/genetics ; Gene Expression Regulation ; RNA, Untranslated/analysis/genetics/*metabolism ; RNA-Binding Proteins/metabolism
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  • 7
    Publication Date: 2013-10-11
    Description: DNA methylation was first described almost a century ago; however, the rules governing its establishment and maintenance remain elusive. Here we present data demonstrating that active transcription regulates levels of genomic methylation. We identify a novel RNA arising from the CEBPA gene locus that is critical in regulating the local DNA methylation profile. This RNA binds to DNMT1 and prevents CEBPA gene locus methylation. Deep sequencing of transcripts associated with DNMT1 combined with genome-scale methylation and expression profiling extend the generality of this finding to numerous gene loci. Collectively, these results delineate the nature of DNMT1-RNA interactions and suggest strategies for gene-selective demethylation of therapeutic targets in human diseases.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3870304/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3870304/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Di Ruscio, Annalisa -- Ebralidze, Alexander K -- Benoukraf, Touati -- Amabile, Giovanni -- Goff, Loyal A -- Terragni, Jolyon -- Figueroa, Maria Eugenia -- De Figueiredo Pontes, Lorena Lobo -- Alberich-Jorda, Meritxell -- Zhang, Pu -- Wu, Mengchu -- D'Alo, Francesco -- Melnick, Ari -- Leone, Giuseppe -- Ebralidze, Konstantin K -- Pradhan, Sriharsa -- Rinn, John L -- Tenen, Daniel G -- CA118316/CA/NCI NIH HHS/ -- CA66996/CA/NCI NIH HHS/ -- HL56745/HL/NHLBI NIH HHS/ -- P01 CA066996/CA/NCI NIH HHS/ -- R01 CA118316/CA/NCI NIH HHS/ -- R01 HL056745/HL/NHLBI NIH HHS/ -- R01 HL112719/HL/NHLBI NIH HHS/ -- T32 HL007917-11A1/HL/NHLBI NIH HHS/ -- England -- Nature. 2013 Nov 21;503(7476):371-6. doi: 10.1038/nature12598. Epub 2013 Oct 9.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Harvard Stem Cell Institute, Harvard Medical School, Boston, Massachusetts 02115, USA [2] Beth Israel Deaconess Medical Center, Boston, Massachusetts 02115, USA [3] Universita Cattolica del Sacro Cuore, Institute of Hematology, L.go A. Gemelli 8, Rome 00168, Italy [4].〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24107992" target="_blank"〉PubMed〈/a〉
    Keywords: Base Sequence ; CCAAT-Enhancer-Binding Proteins/*genetics ; Cell Line ; DNA/genetics/metabolism ; DNA (Cytosine-5-)-Methyltransferase/*metabolism ; DNA Methylation/*genetics ; Gene Expression Profiling ; Gene Expression Regulation/*genetics ; Genome, Human/genetics ; Humans ; RNA, Messenger/genetics/metabolism ; RNA, Untranslated/genetics/*metabolism ; RNA-Binding Proteins/metabolism ; Substrate Specificity ; Transcription, Genetic/genetics
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  • 8
    Publication Date: 2011-08-30
    Description: Although thousands of large intergenic non-coding RNAs (lincRNAs) have been identified in mammals, few have been functionally characterized, leading to debate about their biological role. To address this, we performed loss-of-function studies on most lincRNAs expressed in mouse embryonic stem (ES) cells and characterized the effects on gene expression. Here we show that knockdown of lincRNAs has major consequences on gene expression patterns, comparable to knockdown of well-known ES cell regulators. Notably, lincRNAs primarily affect gene expression in trans. Knockdown of dozens of lincRNAs causes either exit from the pluripotent state or upregulation of lineage commitment programs. We integrate lincRNAs into the molecular circuitry of ES cells and show that lincRNA genes are regulated by key transcription factors and that lincRNA transcripts bind to multiple chromatin regulatory proteins to affect shared gene expression programs. Together, the results demonstrate that lincRNAs have key roles in the circuitry controlling ES cell state.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3175327/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3175327/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Guttman, Mitchell -- Donaghey, Julie -- Carey, Bryce W -- Garber, Manuel -- Grenier, Jennifer K -- Munson, Glen -- Young, Geneva -- Lucas, Anne Bergstrom -- Ach, Robert -- Bruhn, Laurakay -- Yang, Xiaoping -- Amit, Ido -- Meissner, Alexander -- Regev, Aviv -- Rinn, John L -- Root, David E -- Lander, Eric S -- U54 HG003067/HG/NHGRI NIH HHS/ -- U54 HG003067-09/HG/NHGRI NIH HHS/ -- England -- Nature. 2011 Aug 28;477(7364):295-300. doi: 10.1038/nature10398.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Broad Institute of MIT and Harvard, 7 Cambridge Center, Cambridge, Massachusetts 02142, USA. mguttman@mit.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21874018" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Cell Differentiation/*genetics ; Cell Lineage/genetics ; Chromatin/genetics/metabolism ; Gene Expression Regulation/genetics ; Gene Knockdown Techniques ; Mice ; Pluripotent Stem Cells/*cytology/*metabolism ; Protein Binding ; RNA, Untranslated/*genetics/*metabolism ; Transcription Factors/metabolism
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  • 9
    Publication Date: 2009-09-05
    Description: Models of mammalian regulatory networks controlling gene expression have been inferred from genomic data but have largely not been validated. We present an unbiased strategy to systematically perturb candidate regulators and monitor cellular transcriptional responses. We applied this approach to derive regulatory networks that control the transcriptional response of mouse primary dendritic cells to pathogens. Our approach revealed the regulatory functions of 125 transcription factors, chromatin modifiers, and RNA binding proteins, which enabled the construction of a network model consisting of 24 core regulators and 76 fine-tuners that help to explain how pathogen-sensing pathways achieve specificity. This study establishes a broadly applicable, comprehensive, and unbiased approach to reveal the wiring and functions of a regulatory network controlling a major transcriptional response in primary mammalian cells.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2879337/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2879337/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Amit, Ido -- Garber, Manuel -- Chevrier, Nicolas -- Leite, Ana Paula -- Donner, Yoni -- Eisenhaure, Thomas -- Guttman, Mitchell -- Grenier, Jennifer K -- Li, Weibo -- Zuk, Or -- Schubert, Lisa A -- Birditt, Brian -- Shay, Tal -- Goren, Alon -- Zhang, Xiaolan -- Smith, Zachary -- Deering, Raquel -- McDonald, Rebecca C -- Cabili, Moran -- Bernstein, Bradley E -- Rinn, John L -- Meissner, Alex -- Root, David E -- Hacohen, Nir -- Regev, Aviv -- DP1 OD003958/OD/NIH HHS/ -- DP1 OD003958-01/OD/NIH HHS/ -- DP2 OD002230/OD/NIH HHS/ -- DP2 OD002230-01/OD/NIH HHS/ -- R21 AI071060/AI/NIAID NIH HHS/ -- R21 AI071060-01/AI/NIAID NIH HHS/ -- R21 AI71060/AI/NIAID NIH HHS/ -- S10 RR026688/RR/NCRR NIH HHS/ -- Howard Hughes Medical Institute/ -- New York, N.Y. -- Science. 2009 Oct 9;326(5950):257-63. doi: 10.1126/science.1179050. Epub 2009 Sep 3.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Broad Institute of MIT and Harvard, 7 Cambridge Center, Cambridge, MA 02142, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19729616" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Bacteria/*immunology ; Chromatin Assembly and Disassembly ; DNA, Single-Stranded/immunology ; Dendritic Cells/*immunology/*metabolism ; Feedback, Physiological ; Gene Expression Profiling ; *Gene Expression Regulation ; *Gene Regulatory Networks ; Inflammation/immunology/*metabolism ; Lipopeptides/immunology ; Lipopolysaccharides/immunology ; Mice ; Mice, Inbred C57BL ; Poly I-C/immunology ; RNA-Binding Proteins/metabolism ; Toll-Like Receptors/agonists ; Transcription Factors/metabolism ; Transcription, Genetic ; Viruses/*immunology
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    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 10
    Publication Date: 2010-04-16
    Description: Large intervening non-coding RNAs (lincRNAs) are pervasively transcribed in the genome yet their potential involvement in human disease is not well understood. Recent studies of dosage compensation, imprinting, and homeotic gene expression suggest that individual lincRNAs can function as the interface between DNA and specific chromatin remodelling activities. 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 tumours and metastases, and HOTAIR expression level in primary tumours 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 indicate that lincRNAs have active roles in modulating the cancer epigenome and may be important targets for cancer diagnosis and therapy.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3049919/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3049919/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Gupta, Rajnish A -- Shah, Nilay -- Wang, Kevin C -- Kim, Jeewon -- Horlings, Hugo M -- Wong, David J -- Tsai, Miao-Chih -- Hung, Tiffany -- Argani, Pedram -- Rinn, John L -- Wang, Yulei -- Brzoska, Pius -- Kong, Benjamin -- Li, Rui -- West, Robert B -- van de Vijver, Marc J -- Sukumar, Saraswati -- Chang, Howard Y -- R01 CA118750/CA/NCI NIH HHS/ -- R01 CA118750-03/CA/NCI NIH HHS/ -- R01 HG004361/HG/NHGRI NIH HHS/ -- R01 HG004361-03/HG/NHGRI NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2010 Apr 15;464(7291):1071-6. doi: 10.1038/nature08975.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Howard Hughes Medical Institute and Program in Epithelial Biology, California 94305, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/20393566" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Breast Neoplasms/genetics/pathology ; Cell Line, Tumor ; Cell Proliferation ; Chromatin/*genetics ; Chromatin Assembly and Disassembly/*genetics ; Disease Progression ; Epigenesis, Genetic ; Female ; Gene Expression Regulation, Neoplastic ; Genes, Homeobox/genetics ; Genome, Human/genetics ; Histones/metabolism ; Humans ; Methylation ; Mice ; Mice, Nude ; Mice, SCID ; Middle Aged ; Neoplasm Invasiveness ; Neoplasm Metastasis/*genetics ; Neoplasm Transplantation ; Polycomb-Group Proteins ; Prognosis ; RNA Interference ; RNA, Untranslated/biosynthesis/*genetics ; Repressor Proteins/analysis/metabolism ; Survival Rate
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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