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Lycopene Ameliorates Ionizing Radiation-Induced Intestinal Injury

GSE279340 Mus musculus (mouse) RNA-seq (gene expression) 9 samples Submitted 2026/06/02 Platform GPL28330
At a glance

RNA-seq (gene expression) · mouse · 9 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
9 samples: 3 × NC vs 3 × I vs 3 × IR-LYCGroups 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)
Lycopene, a carotenoid known for its potent anti-inflammatory, antioxidant, and immune-modulating properties, is widely utilized in food, nutraceuticals, and medicine. This study aimed to explore the protective and therapeutic effects of lycopene against ionizing radiation-induced intestinal injury. Using a C57BL/6 mouse model exposed to ionizing radiation, we assessed the protective effects of lycopene by analyzing intestinal histology and serological markers.
Read the full summary ↓
Our findings reveal that ionizing radiation induces oxidative stress, inflammation, and apoptosis in the intestinal epithelium. Lycopene administration effectively mitigated these effects by reducing oxidative stress, decreasing inflammatory responses, and inhibiting apoptosis. Mechanistically, lycopene was found to regulate key metabolic pathways, including linoleic acid and arachidonic acid metabolism, thereby exerting its anti-inflammatory and immune-modulatory effects. These results highlight lycopene's potential as a therapeutic agent for managing radiation-induced intestinal injury, offering a promising strategy for improving the clinical outcomes of patients undergoing radiotherapy.
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 GSE279340_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 PRJNA1172116 and SRA study SRP538111. Searching any of these in the dataset finder brings you back here.

Study design
3 × NC vs 3 × I vs 3 × IR-LYC

Supports a between-group comparison across 9 samples.

How we read this: 3 replicated groups read from 9 sample titles; they account for 9 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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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.