Project description:The ribose of RNA nucleotides can be 2'-O-methylated (Nm). Despite advances in high-throughput detection, the inert chemical nature of Nm still limits sensitivity and precludes mapping in mRNA. We leveraged the differential reactivity of 2'-O-methylated and 2'-hydroxylated nucleosides to periodate oxidation to develop Nm-seq, a sensitive method for transcriptome-wide mapping of Nm with base precision. Nm-seq uncovered thousands of Nm sites in human mRNA with features suggesting functional roles.
Project description:Nm-seq maps 2'-O-methylation sites in human mRNA with base precision The ribose of rna nucleotides can be 2′-O-methylated (nm). despite advances in high-throughput detection, the inert chemical nature of nm still limits sensitivity and precludes mapping in mrna. We leveraged the differential reactivity of 2′-O-methylated and 2′-hydroxylated nucleosides to periodate oxidation to develop nm-seq, a sensitive method for transcriptome-wide mapping of nm with base precision. nm-seq uncovered thousands of nm sites in human mrna with features suggesting functional roles.
Project description:The goal of this study is to compare transcriptome-wide Nm-seq on the poly A+ RNA of wild-type Raw264.7 macrophages to transcriptome-wide Nm-seq on the poly A+ RNA of Raw264.7 macrophages after VSV infection . The Nm-seq profiles of wild-type Raw264.7 poly A+ RNA and VSV infected Raw264.7 poly A+ RNA were generated by deep sequencing using Illumina HiSeq4000 sequencer.
Project description:The post-transcriptional modification 2'-O-Methyl (2'OMe) could be present on the ribose of all four ribonucleosides, and is highly prevalent in a wide variety of RNA species, including the 5' RNA cap of viruses and higher eukaryotes, as well as internally in transfer RNA and ribosomal RNA. Recent studies have suggested that 2'OMe is also located internally in low-abundance RNA species such as viral RNA and mRNA. To profile 2'OMe on different RNA species, we have developed Nm-seq, which could identify 2'OMe sites at single base resolution. Nm-seq is particularly useful for identifying 2'OMe sites located at the 3' terminal ends of small RNAs. Here, we present an optimized protocol for Nm-seq and a protocol for applying Nm-seq to identify 2'OMe sites on small RNA 3' terminal ends.
Project description:The goal of this study is to compare transcriptome-wide Nm-seq on the poly A+ RNA of wild-type Raw264.7 macrophages to transcriptome-wide Nm-seq on the poly A+ RNA of Fbl+/- Raw264.7 macrophages . The Nm-seq profiles were generated by deep sequencing using Illumina HiSeq4000 sequencer.
Project description:2’-O-methylation (Nm) is one of the most abundant RNA epigenetic modification and plays vital roles in the post-transcriptional regulation of gene expression. Current Nm mapping approaches are normally limited to highly abundant RNAs and have significant technical hurdles in mRNAs or relatively rare non-coding RNAs (ncRNAs). Here, we developed a new method for enriching Nm sites by using RNA exoribonuclease (M. genitalium RNase R, MgR) and periodate oxidation reactivity to eliminate 2’-hydroxylated (2’-OH) nucleosides, coupled with sequencing (Nm-REP-seq). We revealed several novel classes of Nm-containing ncRNAs as well as mRNAs in humans, mice, and drosophila. We found that some novel Nm sites are present at fixed positions in different tRNAs and are potential substrates of fibrillarin (FBL) methyltransferase mediated by snoRNAs. Importantly, we discovered, for the first time, that Nm located at the 3’-end of various types of ncRNAs and fragments derived from them. Our approach precisely redefines the genome-wide distribution of Nm and provides new technologies for functional studies of Nm-mediated gene regulation.
Project description:The ability to detect 2'-O-methylation sites (Nm) in high-throughput fashion is important, as increasing evidence points to a more diverse landscape for this RNA modification as well as the possibility of yet unidentified functions. Here we describe an optimized version of RibOxi-seq, which is built upon the original published method, that not only accurately profiles ribosomal RNA (rRNA) Nm sites with minimal RNA input but is also robust enough to identify mRNA intronic and exonic sites.