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Effects of Srsf3 deletion on gene expression and 3' UTR profiles in macrophages and atherosclerotic plaques [RNA-seq]

GSE262695 Mus musculus (mouse) RNA-seq (gene expression) 20 samples Submitted 2025/03/31 Platform GPL21273
At a glance

RNA-seq (gene expression) · mouse · 20 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
20 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
Srsf3-Dependent APA Drives Macrophage Maturation and Limits AtherosclerosisCirculation research · 2025
Summary (written by the submitters)
Serine and arginine rich splicing factor 3 (Srsf3) is the smallest member of the serine/arginine rich protein family and directly modulates 3' UTR length, which may impact the stability, localization, and translation efficiency of the mRNAs. Here, we report that genetic ablation of Srsf3 disturbs macrophage maturation from circulating monocytes, thus limiting phagocytosis of low-density lipoproteins and dead cells in plaques, which aggravates atherosclerosis in Apoe-/- mice fed a high-cholesterol diet for 12 weeks.
Read the full summary ↓
Deficiency in Srsf3 suppresses mitochondrial translation by shortening 3' UTRs of mitochondrial aminoacyl-tRNA synthetase, consequently leading to mitochondrial dysfunction in macrophages. Our study reveals that Srsf3-mediated distal polyadenylation site usage is required for mitochondrial translation during macrophage maturation, which may have broad pathophysiological implications for atherosclerosis.
Published in
Srsf3-Dependent APA Drives Macrophage Maturation and Limits Atherosclerosis
Yang X, Zhang X, Tian Y et al. · Circulation research 2025 · PMID 40160097 · doi:10.1161/CIRCRESAHA.124.326111
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 GSE262695_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 PRJNA1093024 and SRA study SRP498443. Searching any of these in the dataset finder brings you back here.

Samples in this study

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