Isotope-Free Mapping of protein:RNA Interactions Using fCRAC and trxtools
Robertson, N.; Mikolajczyk, J.; Garcia-Sandoval, A. C.; Helwak, A.; Major, M. L.; Emadali, A.; Tollervey, D.; Turowski, T. W.
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Defining high-confidence RNA interaction sites for specific proteins is essential to understand RNA biology, but existing methods face trade-offs between specificity, sensitivity, and experimental accessibility. Here, we present fluorescent Cross-linking and analysis of cDNAs (fCRAC), a mammalian-cell optimized update to the CRAC protocol. In fCRAC, a fluorescent adaptor is used, in place of radiolabeling, to visualize RNA-protein complexes during gel-purification. fCRAC retains the tandem affinity purification and stringent, denaturing conditions of classical CRAC, enabling nucleotide-resolution mapping of protein:RNA interactions with high signal to noise ratio. We initially tested fCRAC using RPP25L, a component the RNase MRP and RNase P complexes. RPP25L almost exclusively bound to predicted, single sites in the RNA components (RMRP and RPPH1), showing excellent selectivity with nucleotide resolution. To support analysis of UV cross-linking data for more complex targets, we developed the trxtools package and example pipeline for standardized processing, quality control, and analysis of data from fCRAC and related methods. We include tailored strategies for repetitive RNA classes, such as tRNA and rRNA, which can be challenging to analyze using other approaches. We applied fCRAC and trxtools to define the RNA interactome of human CYCLON/CCDC86, a nuclear protein previously implicated in oncogenesis. This revealed specific interactions with rRNA, tRNA and ncRNAs involved in pre-rRNA and pre-tRNA processing. HighlightsO_LINucleotide-resolution definition of RNAs interacting with specific proteins, including rRNA and tRNA C_LIO_LIStringent denaturing purifications and robust visualization steps, with no requirement for radioactive labelling C_LIO_LITrxtools provides an integrated analysis pipeline with approaches for analyzing both single and multi-copy RNA species C_LI
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