Literature DB >> 22251872

Protein-RNA interactions: new genomic technologies and perspectives.

Julian König1, Kathi Zarnack, Nicholas M Luscombe, Jernej Ule.   

Abstract

RNA-binding proteins are key players in the regulation of gene expression. In this Progress article, we discuss state-of-the-art technologies that can be used to study individual RNA-binding proteins or large complexes such as the ribosome. We also describe how these approaches can be used to study interactions with different types of RNAs, including nascent transcripts, mRNAs, microRNAs and ribosomal RNAs, in order to investigate transcription, RNA processing and translation. Finally, we highlight current challenges in data analysis and the future steps that are needed to obtain a quantitative and high-resolution picture of protein-RNA interactions on a genome-wide scale.

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Year:  2012        PMID: 22251872     DOI: 10.1038/nrg3141

Source DB:  PubMed          Journal:  Nat Rev Genet        ISSN: 1471-0056            Impact factor:   53.242


  45 in total

1.  Identifying mRNA subsets in messenger ribonucleoprotein complexes by using cDNA arrays.

Authors:  S A Tenenbaum; C C Carson; P J Lager; J D Keene
Journal:  Proc Natl Acad Sci U S A       Date:  2000-12-19       Impact factor: 11.205

2.  Evidence for reassociation of RNA-binding proteins after cell lysis: implications for the interpretation of immunoprecipitation analyses.

Authors:  Stavroula Mili; Joan A Steitz
Journal:  RNA       Date:  2004-09-23       Impact factor: 4.942

Review 3.  A window into third-generation sequencing.

Authors:  Eric E Schadt; Steve Turner; Andrew Kasarskis
Journal:  Hum Mol Genet       Date:  2010-09-21       Impact factor: 6.150

4.  CLIP: a method for identifying protein-RNA interaction sites in living cells.

Authors:  Jernej Ule; Kirk Jensen; Aldo Mele; Robert B Darnell
Journal:  Methods       Date:  2005-12       Impact factor: 3.608

5.  Identification of protein binding sites on U3 snoRNA and pre-rRNA by UV cross-linking and high-throughput analysis of cDNAs.

Authors:  Sander Granneman; Grzegorz Kudla; Elisabeth Petfalski; David Tollervey
Journal:  Proc Natl Acad Sci U S A       Date:  2009-05-29       Impact factor: 11.205

6.  A quantitative analysis of CLIP methods for identifying binding sites of RNA-binding proteins.

Authors:  Shivendra Kishore; Lukasz Jaskiewicz; Lukas Burger; Jean Hausser; Mohsen Khorshid; Mihaela Zavolan
Journal:  Nat Methods       Date:  2011-05-15       Impact factor: 28.547

7.  Fast and SNP-tolerant detection of complex variants and splicing in short reads.

Authors:  Thomas D Wu; Serban Nacu
Journal:  Bioinformatics       Date:  2010-02-10       Impact factor: 6.937

Review 8.  Defining mechanisms that regulate RNA polymerase II transcription in vivo.

Authors:  Nicholas J Fuda; M Behfar Ardehali; John T Lis
Journal:  Nature       Date:  2009-09-10       Impact factor: 49.962

9.  iCLIP predicts the dual splicing effects of TIA-RNA interactions.

Authors:  Zhen Wang; Melis Kayikci; Michael Briese; Kathi Zarnack; Nicholas M Luscombe; Gregor Rot; Blaž Zupan; Tomaž Curk; Jernej Ule
Journal:  PLoS Biol       Date:  2010-10-26       Impact factor: 8.029

10.  TopHat: discovering splice junctions with RNA-Seq.

Authors:  Cole Trapnell; Lior Pachter; Steven L Salzberg
Journal:  Bioinformatics       Date:  2009-03-16       Impact factor: 6.937

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  178 in total

1.  Ptbp2 Controls an Alternative Splicing Network Required for Cell Communication during Spermatogenesis.

Authors:  Molly M Hannigan; Leah L Zagore; Donny D Licatalosi
Journal:  Cell Rep       Date:  2017-06-20       Impact factor: 9.423

Review 2.  Regulation of β-cell function by RNA-binding proteins.

Authors:  Maria Grazia Magro; Michele Solimena
Journal:  Mol Metab       Date:  2013-09-25       Impact factor: 7.422

Review 3.  RNA protein interaction in neurons.

Authors:  Robert B Darnell
Journal:  Annu Rev Neurosci       Date:  2013-05-20       Impact factor: 12.449

4.  ASPeak: an abundance sensitive peak detection algorithm for RIP-Seq.

Authors:  Alper Kucukural; Hakan Özadam; Guramrit Singh; Melissa J Moore; Can Cenik
Journal:  Bioinformatics       Date:  2013-08-08       Impact factor: 6.937

Review 5.  Emerging roles for post-transcriptional regulation in circadian clocks.

Authors:  Chunghun Lim; Ravi Allada
Journal:  Nat Neurosci       Date:  2013-10-28       Impact factor: 24.884

Review 6.  The "Observer Effect" in genome-wide surveys of protein-RNA interactions.

Authors:  Kasandra J Riley; Joan A Steitz
Journal:  Mol Cell       Date:  2013-02-21       Impact factor: 17.970

Review 7.  Competition between target sites of regulators shapes post-transcriptional gene regulation.

Authors:  Marvin Jens; Nikolaus Rajewsky
Journal:  Nat Rev Genet       Date:  2014-12-09       Impact factor: 53.242

8.  Crosslinking-immunoprecipitation (iCLIP) analysis reveals global regulatory roles of hnRNP L.

Authors:  Oliver Rossbach; Lee-Hsueh Hung; Ekaterina Khrameeva; Silke Schreiner; Julian König; Tomaž Curk; Blaž Zupan; Jernej Ule; Mikhail S Gelfand; Albrecht Bindereif
Journal:  RNA Biol       Date:  2014-02-07       Impact factor: 4.652

9.  RIPiT-Seq: a high-throughput approach for footprinting RNA:protein complexes.

Authors:  Guramrit Singh; Emiliano P Ricci; Melissa J Moore
Journal:  Methods       Date:  2013-10-02       Impact factor: 3.608

Review 10.  Specificity and nonspecificity in RNA-protein interactions.

Authors:  Eckhard Jankowsky; Michael E Harris
Journal:  Nat Rev Mol Cell Biol       Date:  2015-08-19       Impact factor: 94.444

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