Transcriptome-wide quantitative profiling of PUS7-dependent pseudouridylation by nanopore direct long read RNA sequencing
Understanding the interactions between different RNA modifications is essential for unraveling their biological functions. Here, we report NanoPsiPy, a computational pipeline that employs nanopore direct RNA sequencing to identify pseudouridine ({Psi}) sites and quantify their levels at single-nucleotide resolution. We validated NanoPsiPy by transcriptome-wide profiling of PUS7-dependent {Psi} sites in poly-A RNA and rRNA. NanoPsiPy leverages {Psi}-induced U-to-C basecalling errors in nanopore sequencing data, allowing detection of both low and high stoichiometric {Psi} sites. We identified 8,624 PUS7-dependent {Psi} sites in 1,246 mRNAs encoding proteins associated with ribosome biogenesis, translation, and energy metabolism. Importantly, integrative analysis revealed that PUS7 knockdown increases global mRNA N6-methyladenosine (m6A) and 5-methylcytosine (m5C) levels, suggesting an antagonistic relationship between {Psi} and these modifications. Our study underscores the potential of nanopore direct RNA sequencing in revealing the co-regulation of RNA modifications and the capacity of NanoPsiPy in analyzing pseudouridylation and its impact on other RNA modifications.