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Limited Immune Perturbations in Mice Exposed to Sustained Low-Dose Ionizing Radiation

GSE296450 Mus musculus (mouse) RNA-seq (gene expression) 15 samples Submitted 2026/04/14 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 15 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
15 samples: 5 × CNL_LDR_UT vs 5 × CNL_LDR_10mGy vs 5 × CNL_LDR_100mGyGroups 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)
The effects of high-dose ionizing radiation (HDIR) exposure on the immune system are largely understood with consensus, yet there remains a fragmented understanding of the impact of low-dose ionizing radiation (LDIR) on immune homeostasis, especially in sustained exposure conditions. This study investigates the effects of continuous LDIR exposure on the murine immune system, focusing on transcriptomic responses and cellular perturbations following low-dose-rate whole-body -radiation.
Read the full summary ↓
Female 18-week-old C57BL/6 mice were continuously exposed to low-dose-rate 60Co radiation over a period of 7 days, resulting in cumulative absorbed doses of 10 mGy and 100 mGy. Our findings indicate that the LDIR exposure induced, at most, only minimal transcriptomic perturbations to the immune system in C57BL/6 mice. These results suggest a preservation of immune cell homeostasis under the sustained low-dose-rate exposure conditions studied. It contributes to a broader understanding of radiation biology, emphasizing that the effects of LDIR on the immune system can be limited at low-dose-rates in mice.
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 GSE296450_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 PRJNA1259391 and SRA study SRP583327. Searching any of these in the dataset finder brings you back here.

Study design
5 × CNL_LDR_UT vs 5 × CNL_LDR_10mGy vs 5 × CNL_LDR_100mGy

Supports a between-group comparison across 15 samples.

How we read this: 3 replicated groups read from 15 sample titles; they account for 15 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
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