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Impact of ribosomal depletion, PCR ramp rate, and fragment length on RNA-seq

GSE288460 Mus musculus (mouse) RNA-seq (gene expression) 34 samples Submitted 2025/02/06 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 34 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
34 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.
Paper
Sources of non-uniform coverage in short-read RNA-Seq databioRxiv : the preprint server for biology · 2025
Summary (written by the submitters)
Coverage of short-read RNA-seq is highly non-uniform across transcripts even in genes with only one expressed isoform, contrary to biological expectation. We investigate the impact of several library preparation factors on the non-uniformity of coverage. Specifically, a mouse liver sample is prepared under varying ribosomal depletion (PolyA / rRNA digestion / rRNA pull-down / NoSelection), PCR ramp rate, and fragment length along with one heart sample without selection.
Published in
Sources of non-uniform coverage in short-read RNA-Seq data
Brooks TG, Lahens NF, Mrčela A et al. · bioRxiv : the preprint server for biology 2025 · PMID 39975309 · doi:10.1101/2025.01.30.634337
This dataset
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.

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 GSE288460_RAW.tar (it can run to tens of gigabytes).

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.

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 PRJNA1217800 and SRA study SRP560888. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 34 more — browse all 34 samples with per-sample file links →

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