Abstract

Crosslinking and immunoprecipitation (CLIP) protocols have made it possible to identify transcriptome-wide RNA-protein interaction sites. In particular, PAR-CLIP utilizes a photoactivatable nucleoside for more efficient crosslinking. We present an approach, centered on the novel PARalyzer tool, for mapping high-confidence sites from PAR-CLIP deep-sequencing data. We show that PARalyzer delineates sites with a high signal-to-noise ratio. Motif finding identifies the sequence preferences of RNA-binding proteins, as well as seed-matches for highly expressed microRNAs when profiling Argonaute proteins. Our study describes tailored analytical methods and provides guidelines for future efforts to utilize high-throughput sequencing in RNA biology. PARalyzer is available at http://www.genome.duke.edu/labs/ohler/research/PARalyzer/.

Keywords

BiologyHuman geneticsGenome BiologyComputational biologySequence (biology)GeneticsRNAEvolutionary biologyGenomicsGenomeGene

MeSH Terms

Argonaute ProteinsBinding SitesDatabasesGeneticHigh-Throughput Nucleotide SequencingHumansImmunoprecipitationLinear ModelsMicroRNAsRNASequence AnalysisRNASignal-To-Noise RatioTranscriptome

Affiliated Institutions

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Publication Info

Year
2011
Type
article
Volume
12
Issue
8
Pages
R79-R79
Citations
357
Access
Closed

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357
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49
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Cite This

David L. Corcoran, Stoyan Georgiev, Neelanjan Mukherjee et al. (2011). PARalyzer: definition of RNA binding sites from PAR-CLIP short-read sequence data. Genome biology , 12 (8) , R79-R79. https://doi.org/10.1186/gb-2011-12-8-r79

Identifiers

DOI
10.1186/gb-2011-12-8-r79
PMID
21851591
PMCID
PMC3302668

Data Quality

Data completeness: 86%