← BioTransfer GEO Dataset Finder
GEO series

Short read direct RNA-sequencing of mammalian bone marrow derived macrophages for chimeric RNA discovery

GSE324139 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2026/08/02 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 12 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
12 samples: 4 × Control vs 4 × Inflammatory vs 4 × Tissue_ReparativeGroups are read from the sample names, not from the paper. Check the list below.
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)
Eukaryotic mRNA is classically expected to be monocistronic, linear, and encoded by a single defined genetic locus. Conversely, emerging evidence has identified bicistronic translation and circularized mRNA as pervasive unconventional features of mammalian transcriptomes. During oncogenic translocation in humans, DNA from distinct genes can fuse together and encode chimeric mRNAs that directly contribute to tumorigenesis.
Read the full summary ↓
However, it remains widely unknown whether or not chimeric mRNAs exist in the absence of chromosomal rearrangements, and if they contribute to normal physiological processes. To assay for chimeric mRNA (chRNA) expression in mammalian innate immune cells while circumventing chRNA detection limitations associated with conventional RNA-sequencing (RNA-seq) technology, including read fragmentation and artifact generation by template switching, we performed long read direct RNA sequencing (LR-DRS) of differentially polarized bone marrow-derived macrophages (BMDMs) using the Oxford Nanopore platform, and complemented this with conventional short-read RNA-sequencing.
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 GSE324139_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 PRJNA1433503 and SRA study SRP681777. Searching any of these in the dataset finder brings you back here.

Study design
4 × Control vs 4 × Inflammatory vs 4 × Tissue_Reparative

Supports a between-group comparison across 12 samples.

How we read this: 3 replicated groups read from 12 sample titles; they account for 12 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

Samples in this study
Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

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.