![]() ![]() RIP is an antibody-based technique used to map in vivo RNA-protein interactions. Many of our RNA modification antibodies are RabMAb ® monoclonal antibodies including key targets such as m6A, m1A, Mettl3, m2,2G, and many more. This gives you a consistent antibody and reproducible results throughout your project. Recombinant RabMAb ® technology eliminates batch-to-batch variation by using the same immunogen for each round of antibody production. Once you have a working antibody you should ensure that between batches you are still getting specificity. It is important to be sure that the antibody you are using is specific for the modification you are interested in using the right controls and testing the antibody in your model system. RNA modification antibodies: technical considerationsĪntibody specificity and consistency. Click here for a full list of our RNA modification antibodies. This same m6A antibody also features in a Nature paper, looking at the role of m6A in mRNA stability (Mauer et al., 2017). We have many well-cited and validated RNA modification antibodies available including our m6A antibody, cited in several great publications including a Nature Methods paper which uses it for single-base resolution sequencing of m6A (Linder et al., 2015). Getting antibodies that are specific to your RNA modification of choice can be difficult. In this section, we will go through some of these protocols and offer a few tips and advice for working with RNA modifications. The field of RNA modifications is relatively new but growing more and more every day. You can commonly find modifications in the anticodon loop of the tRNA, which help promote translation efficiency by aiding codon-anticodon interactions and preventing frameshifting (Stuart et al., 2003). The modifications on tRNA are incredibly diverse and require step-by-step formation by multiple enzymes 7. Of all the RNA species, tRNAs contain the most RNA modifications: almost one in five nucleotides within tRNAs are thought to contain RNA modifications (Kirchner et al., 2015). To find out more take a look at our RNA modifications poster The distribution of RNA modifications on mRNA and tRNAs. ![]()
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