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Chemical Pull-Down Reveals Comprehensive and Dynamic Pseudouridylation in Mammalian Transcriptome

GSE63655 Mus musculus (mouse) Other 34 samples Submitted 2015/06/05 Platform GPL11154Platform GPL17021Platform GPL16791
At a glance

mouse · 34 samples

Organism
Mus musculus (mouse)
Samples
34 samples
Data you can get
A processed table (series matrix) and supplementary files from NCBI.
Summary (written by the submitters)
Pseudouridine (Ψ) is the most abundant RNA modification, yet little is known about its content, dynamics and function in mRNA and ncRNA. Here, we perform quantitative MS analysis and develop CAP-seq for transcriptome-wide Ψ profiling. The unexpected high Ψ content (Ψ/U ratio: ~ 0.2% to 0.6%) indicates that pseudouridylation in mammalian mRNA is much more prevalent and comprehensive than previously believed.
Read the full summary ↓
In concordance, CAP-seq identified 2,084 Ψ sites within 1,929 human transcripts. We prove four previously unknown Ψ sites in rRNA and EEF1A1 mRNA. Genetic and biochemical analysis uncover PUS1 as a major human mRNA Ψ synthase. In response to stimuli, Ψ level and sites are dynamically modulated in stimulus-specific manners. Comparisons between human and mouse pseudouridylation reveal conserved and unique sites across tissue and species. We observe stop codon pseudouridylation and readthrough events simultaneously for HSPB1 mRNA, indicating a role in nonsense suppression. Together, these approaches allow in-depth analysis of transcriptome-wide pseudouridylation events and our comprehensive study provides a resource for functional studies of Ψ-mediated epigenetic regulation.
This dataset
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Direct links to NCBI, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

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Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

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Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need.

All supplementary files ↗
3 · The original raw files

Whole study · RAW.tar

Everything the authors deposited as one archive (GSE63655_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.

Also filed as BioProject PRJNA268578 and SRA study SRP050283. Searching any of these in the dataset finder brings you back here.

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