1. Enzymatic RNA Biotinylation for Affinity Purification and Identification of RNA-Protein Interactions
- Author
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Eric J. Bennett, Kayla N. Busby, Dongyang Zhang, Neal K. Devaraj, and Amit Fulzele
- Subjects
0301 basic medicine ,Proteomics ,Blotting, Western ,01 natural sciences ,Biochemistry ,Chromatography, Affinity ,Transcriptome ,03 medical and health sciences ,7SK RNA ,Humans ,Biotinylation ,Pentosyltransferases ,Base Sequence ,010405 organic chemistry ,Chemistry ,RNA ,Proteins ,HOTAIR ,General Medicine ,Blotting, Northern ,Long non-coding RNA ,0104 chemical sciences ,030104 developmental biology ,Transfer RNA ,Mutation ,Molecular Medicine ,Nucleic Acid Conformation ,Small nuclear RNA ,HeLa Cells - Abstract
Throughout their cellular lifetime, RNA transcripts are bound to proteins, playing crucial roles in RNA metabolism, trafficking, and function. Despite the importance of these interactions, identifying the proteins that interact with an RNA of interest in mammalian cells represents a major challenge in RNA biology. Leveraging the ability to site-specifically and covalently label an RNA of interest usingE. ColitRNA guanine transglycosylase and an unnatural nucleobase substrate, we establish the identification of RNA-protein interactions and the selective enrichment of cellular RNA in mammalian systems. We demonstrate the utility of this approach through the identification of known binding partners of 7SK snRNA via mass spectrometry. Through a minimal 4-nucleotide mutation of the long noncoding RNA HOTAIR, enzymatic biotinylation enables identification putative HOTAIR binding partners in MCF7 breast cancer cells that suggest new potential pathways for oncogenic function. Furthermore, using RNA sequencing and qPCR, we establish that an engineered enzyme variant achieves high levels of labeling selectivity against the human transcriptome allowing for 145-fold enrichment of cellular RNA directly from mammalian cell lysates. The flexibility and breadth of this approach suggests that this system could be routinely applied to the functional characterization of RNA, greatly expanding the toolbox available for studying mammalian RNA biology.
- Published
- 2020