Genomic SELEX: A discovery tool for genomic aptamers

被引:47
作者
Zimmermann, Bob [1 ]
Bilusic, Ivana [1 ]
Lorenz, Christina [1 ]
Schroeder, Renee [1 ]
机构
[1] Univ Vienna, Max F Perutz Labs, Dept Biochem & Cell Biol, A-1010 Vienna, Austria
基金
奥地利科学基金会;
关键词
IN-VITRO SELECTION; EXPONENTIAL ENRICHMENT; SYSTEMATIC EVOLUTION; NONCODING RNAS; BINDING RNAS; ALIGNMENT; PROTEIN; SEQUENCES; DISCRIMINATION; BROWSER;
D O I
10.1016/j.ymeth.2010.06.004
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Genomic SELEX is a discovery tool for genomic aptamers, which are genomically encoded functional domains in nucleic acid molecules that recognize and bind specific ligands. When combined with genomic libraries and using RNA-binding proteins as baits, Genomic SELEX used with high-throughput sequencing enables the discovery of genomic RNA aptamers and the identification of RNA-protein interaction networks. Here we describe how to construct and analyze genomic libraries, how to choose baits for selections, how to perform the selection procedure and finally how to analyze the enriched sequences derived from deep sequencing. As a control procedure, we recommend performing a "Neutral" SELEX experiment in parallel to the selection, omitting the selection step. This control experiment provides a background signal for comparison with the positively selected pool. We also recommend deep sequencing the initial library in order to facilitate the final in silico analysis of enrichment with respect to the initial levels. Counter selection procedures, using modified or inactive baits, allow strengthening the binding specificity of the winning selected sequences. (C) 2010 Elsevier Inc. All rights reserved.
引用
收藏
页码:125 / 132
页数:8
相关论文
共 42 条
[1]  
Abouelhoda M. I., 2004, Journal of Discrete Algorithms, V2, P53, DOI 10.1016/S1570-8667(03)00065-0
[2]   Genomic Location Analysis by ChIP-Seq [J].
Barski, Artem ;
Zhao, Keji .
JOURNAL OF CELLULAR BIOCHEMISTRY, 2009, 107 (01) :11-18
[3]   FREQUENT USE OF THE SAME TERTIARY MOTIF BY SELF-FOLDING RNAS [J].
COSTA, M ;
MICHEL, F .
EMBO JOURNAL, 1995, 14 (06) :1276-1285
[4]   A survey of DNA motif finding algorithms [J].
Das, Modan K. ;
Dai, Ho-Kwok .
BMC BIOINFORMATICS, 2007, 8 (Suppl 7)
[5]   Differentiating Protein-Coding and Noncoding RNA: Challenges and Ambiguities [J].
Dinger, Marcel E. ;
Pang, Ken C. ;
Mercer, Tim R. ;
Mattick, John S. .
PLOS COMPUTATIONAL BIOLOGY, 2008, 4 (11)
[6]  
Donlin Maureen J, 2009, Curr Protoc Bioinformatics, VChapter 9, DOI 10.1002/0471250953.bi0909s28
[7]  
Eckert K A, 1991, PCR Methods Appl, V1, P17
[8]   Noncoding RNA genes [J].
Eddy, SR .
CURRENT OPINION IN GENETICS & DEVELOPMENT, 1999, 9 (06) :695-699
[9]   Computational Genomics of noncoding RNA genes [J].
Eddy, SR .
CELL, 2002, 109 (02) :137-140
[10]   INVITRO SELECTION OF RNA MOLECULES THAT BIND SPECIFIC LIGANDS [J].
ELLINGTON, AD ;
SZOSTAK, JW .
NATURE, 1990, 346 (6287) :818-822