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      Structural insights into the stabilization of MALAT1 noncoding RNA by a bipartite triple helix

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          Abstract

          Metastasis-associated lung adenocarcinoma transcript 1 (MALAT1) is a highly-abundant nuclear long noncoding RNA that promotes malignancy. A 3′-stem-loop structure is predicted to confer stability by engaging a downstream A-rich tract in a triple helix, similar to the expression and nuclear retention element (ENE) from the KSHV polyadenylated nuclear RNA. The 3.1-Å resolution crystal structure of the human MALAT1 ENE and A-rich tract reveals a bipartite triple helix containing stacks of five and four U•A-U triples separated by a C +•G-C triplet and C-G doublet, extended by two A-minor interactions. In vivo decay assays indicate that this blunt-ended triple helix, with the 3′ nucleotide in a U•A-U triple, inhibits rapid nuclear RNA decay. Interruption of the triple helix by the C-G doublet induces a “helical reset” that explains why triple-helical stacks longer than six do not occur in nature.

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          Most cited references41

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          REFMAC5 dictionary: organization of prior chemical knowledge and guidelines for its use.

          One of the most important aspects of macromolecular structure refinement is the use of prior chemical knowledge. Bond lengths, bond angles and other chemical properties are used in restrained refinement as subsidiary conditions. This contribution describes the organization and some aspects of the use of the flexible and human/machine-readable dictionary of prior chemical knowledge used by the maximum-likelihood macromolecular-refinement program REFMAC5. The dictionary stores information about monomers which represent the constitutive building blocks of biological macromolecules (amino acids, nucleic acids and saccharides) and about numerous organic/inorganic compounds commonly found in macromolecular crystallography. It also describes the modifications the building blocks undergo as a result of chemical reactions and the links required for polymer formation. More than 2000 monomer entries, 100 modification entries and 200 link entries are currently available. Algorithms and tools for updating and adding new entries to the dictionary have also been developed and are presented here. In many cases, the REFMAC5 dictionary allows entirely automatic generation of restraints within REFMAC5 refinement runs.
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            Geometric nomenclature and classification of RNA base pairs.

            Non-Watson-Crick base pairs mediate specific interactions responsible for RNA-RNA self-assembly and RNA-protein recognition. An unambiguous and descriptive nomenclature with well-defined and nonoverlapping parameters is needed to communicate concisely structural information about RNA base pairs. The definitions should reflect underlying molecular structures and interactions and, thus, facilitate automated annotation, classification, and comparison of new RNA structures. We propose a classification based on the observation that the planar edge-to-edge, hydrogen-bonding interactions between RNA bases involve one of three distinct edges: the Watson-Crick edge, the Hoogsteen edge, and the Sugar edge (which includes the 2'-OH and which has also been referred to as the Shallow-groove edge). Bases can interact in either of two orientations with respect to the glycosidic bonds, cis or trans relative to the hydrogen bonds. This gives rise to 12 basic geometric types with at least two H bonds connecting the bases. For each geometric type, the relative orientations of the strands can be easily deduced. High-resolution examples of 11 of the 12 geometries are presently available. Bifurcated pairs, in which a single exocyclic carbonyl or amino group of one base directly contacts the edge of a second base, and water-inserted pairs, in which single functional groups on each base interact directly, are intermediate between two of the standard geometries. The nomenclature facilitates the recognition of isosteric relationships among base pairs within each geometry, and thus facilitates the recognition of recurrent three-dimensional motifs from comparison of homologous sequences. Graphical conventions are proposed for displaying non-Watson-Crick interactions on a secondary structure diagram. The utility of the classification in homology modeling of RNA tertiary motifs is illustrated.
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              Long noncoding RNA: an emerging paradigm of cancer research.

              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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                Author and article information

                Journal
                101186374
                31761
                Nat Struct Mol Biol
                Nat. Struct. Mol. Biol.
                Nature structural & molecular biology
                1545-9993
                1545-9985
                6 June 2014
                22 June 2014
                July 2014
                01 January 2015
                : 21
                : 7
                : 633-640
                Affiliations
                [1 ]Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT USA
                [2 ]Department of Chemistry, Yale University, New Haven, CT USA
                [3 ]Howard Hughes Medical Institute, Yale University, New Haven, CT USA
                Author notes
                Corresponding author: Joan A. Steitz, Boyer Center for Molecular Medicine, 295 Congress Avenue, New Haven, CT 06536-9812 USA, joan.steitz@ 123456yale.edu , Phone: (203) 737 4418, Fax: (203) 624 8213
                Article
                NIHMS598212
                10.1038/nsmb.2844
                4096706
                24952594
                07d76784-f1fc-4831-aba7-bfab06ec479a
                History
                Categories
                Article

                Molecular biology
                Molecular biology

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