HAMR: High-Throughput Annotation of Modified Ribonucleotides
Lee E Vandivier1,2, Zachary D Anderson1, Brian D Gregory3,4
1Department of Biology, University of Pennsylvania, Philadelphia, PA, USA.
Methods in Molecular Biology (Clifton, N.J.)
|December 13, 2018
Summary
High-throughput annotation of modified ribonucleotides (HAMR) identifies RNA modifications by detecting errors in DNA synthesis. This computational method can be applied to existing RNA sequencing data to map the epitranscriptome.
Area of Science:
- Molecular Biology
- Genomics
- Biochemistry
Background:
- Over 100 covalent chemical modifications decorate ribonucleotides, collectively termed the epitranscriptome.
- These modifications regulate RNA structure, function, and catalytic activity post-transcriptionally.
- Recent high-throughput mapping reveals modifications are abundant across all RNA classes, including messenger RNA.
Purpose of the Study:
- To introduce a novel computational protocol for identifying RNA modifications.
- To present High-throughput Annotation of Modified ribonucleotides (HAMR) as a technique for epitranscriptome mapping.
- To enable retroactive application of HAMR to existing RNA sequencing data.
Main Methods:
- HAMR leverages the interference of modified ribonucleotides with base pairing during complementary DNA synthesis.
- This interference leads to detectable errors in RNA sequencing libraries.
- A computational protocol is presented for in silico identification of these modification-induced errors.
Main Results:
- The HAMR protocol enables the identification of RNA modifications through sequencing errors.
- The method is designed for in silico analysis, allowing retrospective application.
- HAMR can be applied to various RNA sequencing techniques.
Conclusions:
- HAMR provides a computational approach to map the epitranscriptome.
- This technique enhances the utility of existing RNA sequencing datasets.
- HAMR facilitates a deeper understanding of post-transcriptional RNA regulation.
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