Literature DB >> 17406458

Genomic systematic evolution of ligands by exponential enrichment (Genomic SELEX) for the identification of protein-binding RNAs independent of their expression levels.

Christina Lorenz1, Frederike von Pelchrzim, Renée Schroeder.   

Abstract

Genomic systematic evolution of ligands by exponential enrichment (Genomic SELEX) is an experimental procedure for the expression condition-independent identification of protein-binding RNAs. RNA libraries derived from genomic DNA are generated via random priming, PCR amplification and in vitro transcription. Libraries consist of genomic sequences of selected size, and fragments are flanked by constant sequences required for amplification and transcription. This RNA pool is then subjected to several rounds of selection and amplification to enrich for RNAs meeting the selection criteria. Various selection criteria are possible. Here we describe selection by affinity to a protein of interest. High-affinity ligands can then be cloned and sequenced to allow their identification. With this method, protein-binding RNAs can be discovered, nucleic acid-protein interactions can be identified, and whole protein-nucleic acid networks can be defined. This method is also suitable for discovering novel genes, including non-protein-coding RNAs, and it complements in silico approaches. It is better suited to detect protein-binding RNAs that are differentially expressed (and therefore absent from many tissues) and low-abundance RNAs than experimental procedures that start from the isolation of expressed RNAs. The protocol takes approximately 3 months to complete.

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Year:  2006        PMID: 17406458     DOI: 10.1038/nprot.2006.372

Source DB:  PubMed          Journal:  Nat Protoc        ISSN: 1750-2799            Impact factor:   13.491


  27 in total

1.  RNase-assisted RNA chromatography.

Authors:  Gracjan Michlewski; Javier F Cáceres
Journal:  RNA       Date:  2010-06-22       Impact factor: 4.942

2.  Recent advances in the expression, evolution, and dynamics of prokaryotic genomes.

Authors:  Cecilia M Arraiano; Jaana Bamford; Harald Brüssow; Agamemnon J Carpousis; Vladimir Pelicic; Katharina Pflüger; Patrice Polard; Jörg Vogel
Journal:  J Bacteriol       Date:  2007-06-29       Impact factor: 3.490

Review 3.  Splicing regulation: from a parts list of regulatory elements to an integrated splicing code.

Authors:  Zefeng Wang; Christopher B Burge
Journal:  RNA       Date:  2008-03-27       Impact factor: 4.942

4.  Genomic SELEX for Hfq-binding RNAs identifies genomic aptamers predominantly in antisense transcripts.

Authors:  C Lorenz; T Gesell; B Zimmermann; U Schoeberl; I Bilusic; L Rajkowitsch; C Waldsich; A von Haeseler; R Schroeder
Journal:  Nucleic Acids Res       Date:  2010-03-26       Impact factor: 16.971

Review 5.  Recent advances on aptamer-based biosensors for detection of pathogenic bacteria.

Authors:  Danliang Li; Luyao Liu; Qiaoling Huang; Ting Tong; You Zhou; Zhongyu Li; Qinqin Bai; Hao Liang; Lili Chen
Journal:  World J Microbiol Biotechnol       Date:  2021-02-08       Impact factor: 3.312

6.  Multiplex Aptamer Discovery through Apta-Seq and Its Application to ATP Aptamers Derived from Human-Genomic SELEX.

Authors:  Michael M Abdelsayed; Bao T Ho; Michael M K Vu; Julio Polanco; Robert C Spitale; Andrej Lupták
Journal:  ACS Chem Biol       Date:  2017-07-11       Impact factor: 5.100

7.  Characterization of homing endonuclease binding and cleavage specificities using yeast surface display SELEX (YSD-SELEX).

Authors:  Kyle Jacoby; Abigail R Lambert; Andrew M Scharenberg
Journal:  Nucleic Acids Res       Date:  2017-02-17       Impact factor: 16.971

Review 8.  MicroRNA regulation by RNA-binding proteins and its implications for cancer.

Authors:  Marieke van Kouwenhove; Martijn Kedde; Reuven Agami
Journal:  Nat Rev Cancer       Date:  2011-08-05       Impact factor: 60.716

9.  Natural RNA Polymerase Aptamers Regulate Transcription in E. coli.

Authors:  Nadezda Sedlyarova; Philipp Rescheneder; Andrés Magán; Niko Popitsch; Natascha Rziha; Ivana Bilusic; Vitaly Epshtein; Bob Zimmermann; Meghan Lybecker; Vitaly Sedlyarov; Renée Schroeder; Evgeny Nudler
Journal:  Mol Cell       Date:  2017-06-22       Impact factor: 17.970

10.  Monitoring genomic sequences during SELEX using high-throughput sequencing: neutral SELEX.

Authors:  Bob Zimmermann; Tanja Gesell; Doris Chen; Christina Lorenz; Renée Schroeder
Journal:  PLoS One       Date:  2010-02-11       Impact factor: 3.240

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