Journal
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
Volume 116, Issue 14, Pages 6784-6789Publisher
NATL ACAD SCIENCES
DOI: 10.1073/pnas.1817334116
Keywords
RNA modification; pseudouridine; RNA methylation; m(1)A; methyl adenosine
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Funding
- NIH/National Human Genome Research Institute, Howard Hughes Medical Institute [R21 HG008058]
- National Cancer Institute [P30 CA042014]
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The breadth and importance of RNA modifications are growing rapidly as modified ribonucleotides can impact the sequence, structure, function, stability, and fate of RNAs and their interactions with other molecules. Therefore, knowing cellular RNA modifications at single-base resolution could provide important information regarding cell status and fate. A current major limitation is the lack of methods that allow the reproducible profiling of multiple modifications simultaneously, transcriptome-wide and at single-base resolution. Here we developed RBS-Seq, a modification of RNA bisulfite sequencing that enables the sensitive and simultaneous detection of m(5)C, Psi, and m(1)A at single-base resolution transcriptome-wide. With RBS-Seq, m(5)C and m(1)A are accurately detected based on known signature base mismatches and are detected here simultaneously along with Psi sites that show a 1-2 base deletion. Structural analyses revealed the mechanism underlying the deletion signature, which involves Psi-monobisulfite adduction, heat-induced ribose ring opening, and Mg2+-assisted reorientation, causing base-skipping during cDNA synthesis. Detection of each of these modifications through a unique chemistry allows high-precision mapping of all three modifications within the same RNA molecule, enabling covariation studies. Application of RBS-Seq on HeLa RNA revealed almost all known m(5) C, m(1)A, and Psi sites in tRNAs and rRNA5 and provided hundreds of new m(5)C and Psi sites in noncoding RNAs and mRNAs. However, our results diverge greatly from earlier work, suggesting similar to 10-fold fewer m(5)C sites in noncoding and coding RNAs and the absence of substantial m(1)A in mRNAs. Taken together, the approaches and refined datasets in this work will greatly enable future epitranscriptome studies.
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