Abstract
m6A is the most abundant internal modification on mRNA. Recent improvements of high-throughput sequencing techniques enables its detection at the transcriptome level, even at the nucleotide resolution. However most current techniques require large amounts of starting material to detect the modification. Here, we describe a complementary technique of standard meRIP-seq/miCLIP-seq approaches to identify methylated RNA using a low amount of material. We believe this approach can be applied in vivo to identify methylated targets in specific tissues or subpopulations of cells.
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Acknowledgments
We thank members of the Dieterich and Roignant labs for their helpful comments and support. JYR was supported by the Deutsche Forschungsgemeinschaft (DFG) RO 4681/5-1, SPP1784 (RO 4681/9-1) and the Epitran COST action (CA16120). CD was supported by the DFG SPP1738 (DI 1501/5-1) and SPP1935 (DI 1501/8-1).
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Worpenberg, L., Jakobi, T., Dieterich, C., Roignant, JY. (2019). Identification of Methylated Transcripts Using the TRIBE Approach. In: Wajapeyee, N., Gupta, R. (eds) Epitranscriptomics. Methods in Molecular Biology, vol 1870. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-8808-2_7
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DOI: https://doi.org/10.1007/978-1-4939-8808-2_7
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