共 38 条
Rapid and systematic analysis of the RNA recognition specificities of RNA-binding proteins
被引:361
作者:
Ray, Debashish
[1
]
Kazan, Hilal
[2
]
Chan, Esther T.
[3
]
Castillo, Lourdes Pena
[1
]
Chaudhry, Sidharth
[3
]
Talukder, Shaheynoor
[1
]
Blencowe, Benjamin J.
[1
,3
]
Morris, Quaid
[1
,2
,3
]
Hughes, Timothy R.
[1
,3
]
机构:
[1] Univ Toronto, Banting & Best Dept Med Res, Toronto, ON, Canada
[2] Univ Toronto, Dept Comp Sci, Toronto, ON, Canada
[3] Univ Toronto, Dept Mol Genet, Toronto, ON, Canada
基金:
加拿大自然科学与工程研究理事会;
关键词:
UNIVERSAL DNA MICROARRAYS;
MESSENGER-RNA;
SAM DOMAIN;
IDENTIFICATION;
SEQUENCE;
DISTINCT;
SUBSETS;
COMPACT;
NUCLEAR;
FAMILY;
D O I:
10.1038/nbt.1550
中图分类号:
Q81 [生物工程学(生物技术)];
Q93 [微生物学];
学科分类号:
071005 ;
0836 ;
090102 ;
100705 ;
摘要:
Metazoan genomes encode hundreds of RNA-binding proteins (RBPs) but RNA-binding preferences for relatively few RBPs have been well defined(1). Current techniques for determining RNA targets, including in vitro selection and RNA co-immunoprecipitation(2-5), require significant time and labor investment. Here we introduce RNAcompete, a method for the systematic analysis of RNA binding specificities that uses a single binding reaction to determine the relative preferences of RBPs for short RNAs that contain a complete range of k-mers in structured and unstructured RNA contexts. We tested RNAcompete by analyzing nine diverse RBPs (HuR, Vts1, FUSIP1, PTB, U1A, SF2/ASF, SLM2, RBM4 and YB1). RNAcompete identified expected and previously unknown RNA binding preferences. Using in vitro and in vivo binding data, we demonstrate that preferences for individual 7-mers identified by RNAcompete are a more accurate representation of binding activity than are conventional motif models. We anticipate that RNAcompete will be a valuable tool for the study of RNA-protein interactions.
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页码:667 / U135
页数:6
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