Dataset Information

SpyCLIP: an easy-to-use and high-throughput compatible CLIP platform for the characterization of protein-RNA interactions with high accuracy.

ABSTRACT: UV crosslinking and immunoprecipitation (CLIP) coupled with high-throughput sequencing is the most state-of-the-art technology to characterize protein-RNA interactions, yet only a small portion of RNA-binding proteins (RBPs) have been studied by CLIP due to its complex procedures and high level of false-positive signals. Herein, we report a SpyCLIP method that employs a covalent linkage formed between the RBP-fused SpyTag and SpyCatcher, which can withstand the harshest washing conditions for removing nonspecific interactions. Moreover, SpyCLIP circumvents the radioactive labeling and PAGE-membrane purification steps, and the whole procedure can be performed on beads and is readily amenable to automation. We investigated multiple RBPs by SpyCLIP and generated high-quality RNA binding maps with significantly improved reproductivity and accuracy. Therefore, the small tag size and convenient protocol of SpyCLIP provides a robust method for both routine characterization and high-throughput studies of protein-RNA interactions.

SUBMITTER: Zhao Y

PROVIDER: S-EPMC6451120 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature

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Publications

SpyCLIP: an easy-to-use and high-throughput compatible CLIP platform for the characterization of protein-RNA interactions with high accuracy.

Zhao Ya Y Zhang Yao Y Teng Yilan Y Liu Kai K Liu Yanqing Y Li Weihua W Wu Ligang L

Nucleic acids research 20190401 6

UV crosslinking and immunoprecipitation (CLIP) coupled with high-throughput sequencing is the most state-of-the-art technology to characterize protein-RNA interactions, yet only a small portion of RNA-binding proteins (RBPs) have been studied by CLIP due to its complex procedures and high level of false-positive signals. Herein, we report a SpyCLIP method that employs a covalent linkage formed between the RBP-fused SpyTag and SpyCatcher, which can withstand the harshest washing conditions for re ...[more]

PMID: 30715466

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Project description:BACKGROUND: MicroRNAs (miRNAs) play a critical role in down-regulating gene expression. By coupling with Argonaute family proteins, miRNAs bind to target sites on mRNAs and employ translational repression. A large amount of miRNA-target interactions (MTIs) have been identified by the crosslinking and immunoprecipitation (CLIP) and the photoactivatable-ribonucleoside-enhanced CLIP (PAR-CLIP) along with the next-generation sequencing (NGS). PAR-CLIP shows high efficiency of RNA co-immunoprecipitation, but it also lead to T to C conversion in miRNA-RNA-protein crosslinking regions. This artificial error obviously reduces the mappability of reads. However, a specific tool to analyze CLIP and PAR-CLIP data that takes T to C conversion into account is still in need. RESULTS: We herein propose the first CLIP and PAR-CLIP sequencing analysis platform specifically for miRNA target analysis, namely miRTarCLIP. From scratch, it automatically removes adaptor sequences from raw reads, filters low quality reads, reverts C to T, aligns reads to 3'UTRs, scans for read clusters, identifies high confidence miRNA target sites, and provides annotations from external databases. With multi-threading techniques and our novel C to T reversion procedure, miRTarCLIP greatly reduces the running time comparing to conventional approaches. In addition, miRTarCLIP serves with a web-based interface to provide better user experiences in browsing and searching targets of interested miRNAs. To demonstrate the superior functionality of miRTarCLIP, we applied miRTarCLIP to two public available CLIP and PAR-CLIP sequencing datasets. miRTarCLIP not only shows comparable results to that of other existing tools in a much faster speed, but also reveals interesting features among these putative target sites. Specifically, we used miRTarCLIP to disclose that T to C conversion within position 1-7 and that within position 8-14 of miRNA target sites are significantly different (p value = 0.02), and even more significant when focusing on sites targeted by top 102 highly expressed miRNAs only (p value = 0.01). These results comply with previous findings and further suggest that combining miRNA expression and PAR-CLIP data can improve accuracy of the miRNA target prediction. CONCLUSION: To sum up, we devised a systematic approach for mining miRNA-target sites from CLIP-seq and PAR-CLIP sequencing data, and integrated the workflow with a graphical web-based browser, which provides a user friendly interface and detailed annotations of MTIs. We also showed through real-life examples that miRTarCLIP is a powerful tool for understanding miRNAs. Our integrated tool can be accessed online freely at http://miRTarCLIP.mbc.nctu.edu.tw.

Dataset Information

SpyCLIP: an easy-to-use and high-throughput compatible CLIP platform for the characterization of protein-RNA interactions with high accuracy.

Publications

SpyCLIP: an easy-to-use and high-throughput compatible CLIP platform for the characterization of protein-RNA interactions with high accuracy.

Similar Datasets

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