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Improvements to the HITS-CLIP protocol eliminate widespread mispriming artifacts

Overview of attention for article published in BMC Genomics, May 2016
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Title
Improvements to the HITS-CLIP protocol eliminate widespread mispriming artifacts
Published in
BMC Genomics, May 2016
DOI 10.1186/s12864-016-2675-5
Pubmed ID
Authors

Austin E. Gillen, Tomomi M. Yamamoto, Enos Kline, Jay R. Hesselberth, Peter Kabos

Abstract

 High-throughput sequencing of RNA isolated by crosslinking immunoprecipitation (HITS-CLIP) allows for high resolution, genome-wide mapping of RNA-binding proteins. This methodology is frequently used to validate predicted targets of microRNA binding, as well as direct targets of other RNA-binding proteins. Hence, the accuracy and sensitivity of binding site identification is critical.  We found that substantial mispriming during reverse transcription results in the overrepresentation of sequences complementary to the primer used for reverse transcription. Up to 45 % of peaks in publicly available HITS-CLIP libraries are attributable to this mispriming artifact, and the majority of libraries have detectable levels of mispriming. We also found that standard techniques for validating microRNA-target interactions fail to differentiate between artifactual peaks and physiologically relevant peaks. Here, we present a modification to the HITS-CLIP protocol that effectively eliminates this artifact and improves the sensitivity and complexity of resulting libraries.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 1%
Canada 1 1%
Unknown 84 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 27%
Researcher 22 26%
Student > Master 8 9%
Student > Bachelor 7 8%
Professor > Associate Professor 5 6%
Other 11 13%
Unknown 10 12%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 30 35%
Agricultural and Biological Sciences 28 33%
Immunology and Microbiology 6 7%
Computer Science 3 3%
Chemistry 3 3%
Other 6 7%
Unknown 10 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 May 2016.
All research outputs
#18,455,405
of 22,867,327 outputs
Outputs from BMC Genomics
#8,188
of 10,663 outputs
Outputs of similar age
#218,803
of 298,934 outputs
Outputs of similar age from BMC Genomics
#168
of 196 outputs
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