Rapid and systematic analysis of the RNA recognition specificities of RNA-binding proteins.
Identifieur interne : 002769 ( Main/Exploration ); précédent : 002768; suivant : 002770Rapid and systematic analysis of the RNA recognition specificities of RNA-binding proteins.
Auteurs : Debashish Ray [Canada] ; Hilal Kazan ; Esther T. Chan ; Lourdes Pe A Castillo ; Sidharth Chaudhry ; Shaheynoor Talukder ; Benjamin J. Blencowe ; Quaid Morris ; Timothy R. HughesSource :
- Nature biotechnology [ 1546-1696 ] ; 2009.
Descripteurs français
- KwdFr :
- ARN (), ARN (génétique), ARN (métabolisme), Animaux, Bases de données d'acides nucléiques, Courbe ROC, Données de séquences moléculaires, Génome, Protéines de liaison à l'ARN (), Protéines de liaison à l'ARN (génétique), Protéines de liaison à l'ARN (métabolisme), Sites de fixation (génétique), Spécificité du substrat, Séquence nucléotidique, Séquençage par oligonucléotides en batterie ().
- MESH :
- génétique : ARN, Protéines de liaison à l'ARN, Sites de fixation.
- métabolisme : ARN, Protéines de liaison à l'ARN.
- ARN, Animaux, Bases de données d'acides nucléiques, Courbe ROC, Données de séquences moléculaires, Génome, Protéines de liaison à l'ARN, Spécificité du substrat, Séquence nucléotidique, Séquençage par oligonucléotides en batterie.
English descriptors
- KwdEn :
- Animals, Base Sequence, Binding Sites (genetics), Databases, Nucleic Acid, Genome, Molecular Sequence Data, Oligonucleotide Array Sequence Analysis (methods), RNA (chemistry), RNA (genetics), RNA (metabolism), RNA-Binding Proteins (chemistry), RNA-Binding Proteins (genetics), RNA-Binding Proteins (metabolism), ROC Curve, Substrate Specificity.
- MESH :
- chemical , chemistry : RNA, RNA-Binding Proteins.
- genetics : Binding Sites, RNA, RNA-Binding Proteins.
- chemical , metabolism : RNA, RNA-Binding Proteins.
- methods : Oligonucleotide Array Sequence Analysis.
- Animals, Base Sequence, Databases, Nucleic Acid, Genome, Molecular Sequence Data, ROC Curve, Substrate Specificity.
Abstract
Metazoan genomes encode hundreds of RNA-binding proteins (RBPs) but RNA-binding preferences for relatively few RBPs have been well defined. Current techniques for determining RNA targets, including in vitro selection and RNA co-immunoprecipitation, 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.
DOI: 10.1038/nbt.1550
PubMed: 19561594
Affiliations:
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Le document en format XML
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<term>Databases, Nucleic Acid</term>
<term>Genome</term>
<term>Molecular Sequence Data</term>
<term>Oligonucleotide Array Sequence Analysis (methods)</term>
<term>RNA (chemistry)</term>
<term>RNA (genetics)</term>
<term>RNA (metabolism)</term>
<term>RNA-Binding Proteins (chemistry)</term>
<term>RNA-Binding Proteins (genetics)</term>
<term>RNA-Binding Proteins (metabolism)</term>
<term>ROC Curve</term>
<term>Substrate Specificity</term>
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<term>Courbe ROC</term>
<term>Données de séquences moléculaires</term>
<term>Génome</term>
<term>Protéines de liaison à l'ARN ()</term>
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<term>Séquençage par oligonucléotides en batterie ()</term>
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<front><div type="abstract" xml:lang="en">Metazoan genomes encode hundreds of RNA-binding proteins (RBPs) but RNA-binding preferences for relatively few RBPs have been well defined. Current techniques for determining RNA targets, including in vitro selection and RNA co-immunoprecipitation, 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.</div>
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