Abstract
Protein–protein interactions (PPI) are vital in regulating the biological and physiological functions in a given cell or organism. Proteomics, in conjunction with bioinformatic tools, represents the study involving the characterization of the protein content of the genome of a given biological system. Like PPI, an interaction between either coding or noncoding RNA and a complex set of host proteins protein plays an essential role in gene expression at translational, posttranscriptional, and epigenetic level. Although a wide range of techniques such as shotgun proteomics, MuDPIT, etc. are available for characterizing PII, those for characterizing RNA–protein interactions are infancy. Given the significance of the long noncoding RNAs (lnc-RNA) in plant biology, it is imperative to isolate and characterize the functionality of the host proteome interacting with RNA. In this context, riboproteomics approach becomes a valuable tool to study these interactions. Here, using a noncoding plant pathogenic satellite-RNA (Sat-RNA) of Cucumber mosaic virus (CMV) as an RNA source, we describe a stepwise protocol for identifying the host proteome interacting specifically with the Sat-RNA. This protocol streamlines steps starting from in vitro transcription of RNA, preparation of RNA affinity column, preparation of cell lysate from Nicotiana benthamiana leaves infected with the Sat-RNA followed by the Co-IP and preparation of samples for LC-MS/MS. We believe this approach is applicable to a wide range of RNAs of any nature associated with eukaryotic and prokaryotic organisms.
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Chaturvedi, S., Rao, A.L.N. (2021). Studying RNA–Protein Interaction Using Riboproteomics. In: Jin, H., Kaloshian, I. (eds) RNA Abundance Analysis . Methods in Molecular Biology, vol 2170. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-0743-5_15
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DOI: https://doi.org/10.1007/978-1-0716-0743-5_15
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Publisher Name: Humana, New York, NY
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