Molecular Therapy — Nucleic AcidsBioinformaticsPeer-reviewed journal article
Rationalizing the Effects of RNA Modifications on Protein Interactions
Andrea VandelliiD, Laura BrogliaiD, Alexandros ArmaosiD, Riccardo Delli PontiiD, Gian Gaetano TartagliaiD
Abstract
RNA modifications play a crucial role in regulating gene expression by altering RNA structure and modulating interactions with RNA-binding proteins (RBPs). In this study, we explore the impact of specific RNA chemical modifications--N6-methyladenosine (mA), A-to-I editing, and pseudouridine ({Psi})--on RNA secondary structure and protein-RNA interactions. Utilizing genome-wide data, including RNA secondary structure predictions and protein-RNA interaction datasets, we classify proteins into distinct categories based on their binding behaviors: modification-specific and structure-independent, or modification-promiscuous and structure-dependent. For instance, mA readers like YTHDF2 exhibit modification-specific and structure-independent binding, consistently attaching to mA regardless of structural changes. Conversely, proteins such as U2AF2 display modification-promiscuous and structure-dependent behavior, altering their binding preferences in response to structural changes induced by different modifications. A-to-I editing, which causes significant structural changes, typically reduces protein interactions, while {Psi} enhances RNA structural stability, albeit with variable effects on protein binding. To better predict these interactions, we developed the catRAPID 2.0 RNA modifications algorithm, which forecasts the effects of RNA modifications on protein-RNA binding propensities. This algorithm serves as a valuable tool for researchers, enabling the prediction and analysis of RNA modifications impact on protein interactions, thus offering new insights into RNA biology and engineering. The catRAPID 2.0 RNA modifications tool is available at http://service.tartaglialab.com/new_submission/catrapid_omicsv2_rna_mod. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=200 SRC="FIGDIR/small/610603v1_ufig1.gif" ALT="Figure 1"> View larger version (28K): org.highwire.dtl.DTLVardef@136148corg.highwire.dtl.DTLVardef@17f2d65org.highwire.dtl.DTLVardef@7d4ce9org.highwire.dtl.DTLVardef@447e47_HPS_FORMAT_FIGEXP M_FIG C_FIG
- assay: bulk RNA-seq
- research focus: protein structure prediction
- research focus: protein design
- research focus: benchmarking
- research focus: software / tool
- approach: statistical model
- Citations
- 14
- FWCI
- 1.91
- Field percentile
- top 13%
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