Bioorthogonal in-cell Labeling and Profiling of N6-isopentenyladenosine (i6A) Modified RNA
Wang, S.; Li, Y.; Zhou, H.; Wang, L.; Gan, Y.; Zhang, S.; Zheng, Y. Y.; Sheng, j.; Wang, R.
Show abstract
Chemical modifications in RNAs play critical roles in structural diversification and functional regulation of many vital biochemical processes. Several hydrophobic prenyl-modifications have been discovered in a variety of RNA species since the 1990s. Prenyl groups are the feedstocks of terpene and many other biological molecules and the processes of prenylation in different macromolecules have been widely studied. We present here a new chemical biology technique to identify and label i6A, a prenyl-modified RNA residue, based on the unique reactivity of the prenyl group. We also found that iodine-mediated cycloaddition reactions of the prenyl group occurs in a superfast manner, and converts i6A from a hydrogen-bond acceptor into a donor. Based on this reactivity, we developed an iodine-mediated oxidation and reverse transcription (IMORT) method to profile cellular i6A residues with a single-base resolution, allowing for the transcriptome-wide detection and analysis of various i6A-containing RNA species.
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
Similar papers in this journal
- Efficient chemical and enzymatic syntheses of FAD nucleobase analogues and their analysis as enzyme cofactors 95%
- Redox Activated Substrates for Enhancing Activatable Cyclopropene Bioorthogonal Reactions 95%
- Covalent Stabilization of Collagen Mimetic Triple Helices and Assemblies by Dopa Crosslinking 93%
Similar papers in this journal
- Click Chemistry Enables Rapid Development of Potent sEH PROTACs Using a Direct-to-Biology Approach 96%
- Harnessing the Intrinsic Photochemistry of Isoxazoles for the Development of Chemoproteomic Crosslinking Methods 94%
- Bio-Orthogonal Chemistry Enables Solid Phase Synthesis of Long RNA Oligonucleotides 93%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.