GEO series

Transcriptome-wide mapping reveals widespread dynamic regulated pseudouridylation of mRNA

GSE60047 Mus musculus (mouse) RNA-seq (gene expression) 86 samples Submitted 2014/09/11 Platform GPL19036Platform GPL16791Platform GPL17021Platform GPL17342

At a glance

RNA-seq (gene expression) · mouse · 86 samples

What it is: RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism: Mus musculus (mouse)
Samples: 86 samples
Data you can get: A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.

Summary (written by the submitters)

Pseudouridine is the most abundant modification occurring on RNA, yet with the exception of a few well-studied RNA molecules little is known about the modified positions and their function(s). Here, we develop Ψ-seq, a method for transcriptome-wide quantitative mapping of pseudouridine. We validate Ψ-seq with synthetic spike-ins and de novo identification of the vast majority of previously reported pseudouridylated positions.

Read the full summary ↓

Ψ-seq permits discovery of hundreds of novel pseudouridine modifications in human and yeast mRNAs and snoRNAs. Knockdown and knockout of pseudouridine synthases uncovers the cognate PUSs mediating pseudouridine catalysis at these individual novel sites and their target sequence features. In both human and yeast pseudouridine formation on mRNA depends on both site-specific PUSs – often guided by a specific sequence motif - and snoRNA-guided PUSs. Importantly, upon heat shock in yeast, Pus7-mediated pseudouridylation is induced at >200 sites in diverse mRNAs. Pus7 deletion in yeast leads to decreased recovery from heat shock and decreased RNA levels at otherwise pseudouridylated messages, suggesting a role for pseudouridine in enhancing transcript stability. Pseudouridine stoichiometries in rRNA are highly conserved from yeast to mammals, but are reduced in cells derived from dyskeratosis congenita patients, where the pseudouridine synthase DKC1 is mutated, compared to age matched controls. Our results establish pseudouridine as a ubiquitous and dynamic modification in mRNA, and provide a sensitive, quantitative and transcriptome-wide methodology to address its underlying mechanisms and function.

This dataset

Open GSE60047 in finder → Find more RNA-seq datasets →

Download · which file do I need?

Direct links to NCBI and ENA, 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.

1 · Just have a look

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.

Series matrix ↓

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE60047_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓

3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

Raw reads on ENA ↗

What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA257386 and SRA study SRP045222. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 25219674) ↗

Samples in this study

The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.

+ 86 more — browse all 86 samples with per-sample file links →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.