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Systematic calibration of epitranscriptomic maps using a synthetic modification-free RNA library
Systematic calibration of epitranscriptomic maps using a synthetic modification-free RNA library
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Systematic calibration of epitranscriptomic maps using a synthetic modification-free RNA library
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Systematic calibration of epitranscriptomic maps using a synthetic modification-free RNA library
Systematic calibration of epitranscriptomic maps using a synthetic modification-free RNA library

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Systematic calibration of epitranscriptomic maps using a synthetic modification-free RNA library
Systematic calibration of epitranscriptomic maps using a synthetic modification-free RNA library
Journal Article

Systematic calibration of epitranscriptomic maps using a synthetic modification-free RNA library

2021
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Overview
Recent years have witnessed rapid progress in the field of epitranscriptomics. Functional interpretation of the epitranscriptome relies on sequencing technologies that determine the location and stoichiometry of various RNA modifications. However, contradictory results have been reported among studies, bringing the biological impacts of certain RNA modifications into doubt. Here, we develop a synthetic RNA library resembling the endogenous transcriptome but without any RNA modification. By incorporating this modification-free RNA library into established mapping techniques as a negative control, we reveal abundant false positives resulting from sequence bias or RNA structure. After calibration, precise and quantitative mapping expands the understanding of two representative modification types, N6-methyladenosine (m6A) and 5-methylcytosine (m5C). We propose that this approach provides a systematic solution for the calibration of various RNA-modification mappings and holds great promise in epitranscriptomic studies.This work describes the generation of a modification-free RNA library that resembles endogenous transcriptome sequence and expression level, which can be used as a negative control in epitranscriptomic sequencing methods to obtain high-confidence and quantitative maps of various RNA modifications.