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Biology subjects

Klink, I. N.

Publications and source records attributed to Klink, I. N..

2 recordsLinked to original sources

mRNA psi profiling using nanopore DRS reveals cell-type-specific pseudouridylation

Pseudouridine (psi) is one of the most abundant human mRNA modifications yet its functional impact on translation has remained unclear. Using direct RNA nanopore sequencing coupled with our Mod-p ID analytical framework, we mapped psi at single-nucleotide resolution across six immortalized human cell lines derived from diverse tissue types. Psi sites identified by nanopore sequencing were cross-validated using Illumina-based methods, confirming both positional accuracy and reproducibility. Unlike prior short-read approaches, nanopore sequencing provided the unique ability to quantify relative occupancy at each site and to detect multiple modifications on the same RNA molecule, revealing combinatorial modification patterns that cannot be captured otherwise. Integrating these psi maps with matched proteomic and ribosome profiling datasets, we find that psi modulates translation through two mechanistic modes: (i) single high-occupancy psi sites enhance translational efficiency and protein output, whereas (ii) clustered psi modifications promote ribosome pausing, decoupling translation efficiency from protein yield. This integrative, multi-omics framework provides a quantitative model of how psi stoichiometry and distribution along transcripts shape ribosome dynamics and proteome composition across human cell types.

genomics↗

Multicellular, IVT-derived, unmodified human transcriptome for nanopore direct RNA analysis

Nanopore direct RNA sequencing (DRS) enables measurements of RNA modifications. Modification-free transcripts are a practical and targeted control for DRS, providing a baseline measurement for canonical nucleotides within a matched and biologically derived sequence context. However, these controls can be challenging to generate and carry nanopore-specific nuances that can impact analysis. We produced DRS datasets using modification-free transcripts from in vitro transcription (IVT) of cDNA from six immortalized human cell lines. We characterized variation across cell lines and demonstrated how these may be interpreted. These data will serve as a versatile control and resource to the community for RNA modification analysis of human transcripts.

genomics↗