GEO series

Alternative End-Joining Activation by miR-21-5p Confers Radiation Resistance in Oral Squamous Cell Carcinoma [RNA-seq of SCC7 mice tumors]

GSE304277 Mus musculus (mouse) RNA-seq (gene expression) 24 samples Submitted 2026/04/08 Platform GPL24247

At a glance

RNA-seq (gene expression) · mouse · 24 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: 24 samples: 24 × SCC7-TGroups 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.
Paper: Alternative End Joining Dependency Imposed by miR-21-5p Defines Radiation Resistance and a Targetable Vulnerability in Oral Squamous Cell CarcinomaInternational journal of radiation oncology, biology, physics · 2026

Summary (written by the submitters)

Marked heterogeneity in radiosensitivity is a major challenge in the treatment of oral squamous cell carcinoma (OSCC), often resulting in poor outcomes for radioresistant tumors. The underlying molecular drivers of this resistance remain elusive. Here, we identify a novel mechanism in which miR-21-5p promotes radiation resistance by selectively activating the error-prone DNA double-strand break (DSB) repair pathway alternative end-joining (Alt-EJ).

Read the full summary ↓

Integrative miRNA profiling, multi-omic analyses, and functional assays demonstrate that miR-21-5p upregulation coupled with suppression of its target gene signature increases Alt-EJ dependence for DSB repair. This Alt-EJ reliance enhances genomic instability, increases tumor mutational burden and microhomology-mediated indels, and confers pronounced radiation resistance in OSCC models, while correlating with poor radiotherapy response in patients. Importantly, pharmacological or genetic inhibition of Alt-EJ components, including PARP1 and POLQ, restores radiosensitivity in vitro and in vivo, with PARP1 inhibition specifically reversing miR-21-5p-mediated resistance in a syngeneic mouse model. Further RNA-seq analyses of these mice tumors confirmed that PARP inhibitor induced selective radiosensitization effects for miR-21-5p-overexpressing tumors were accompanied by a pronounced reduction in alt-EJ expression. Collectively, these findings establish the miR-21-5p/Alt-EJ axis as a key driver of radiation resistance in OSCC and support Alt-EJ targeting as a promising approach for precision radiosensitization.

Published in

Alternative End Joining Dependency Imposed by miR-21-5p Defines Radiation Resistance and a Targetable Vulnerability in Oral Squamous Cell Carcinoma

Ma L, Tayier N, Hu W et al. · International journal of radiation oncology, biology, physics 2026 · PMID 41946423 · doi:10.1016/j.ijrobp.2026.03.037

This dataset

Open GSE304277 in finder → Find more mouse RNA-seq datasets →

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.

Series matrix ↓

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 GSE304277_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓

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.

Raw reads on ENA ↗

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 PRJNA1300277 and SRA study SRP605793. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41946423) ↗

Study design

24 × SCC7-T

Supports a between-group comparison across 24 samples.

How we read this: 1 replicated groups read from 24 sample titles; they account for 24 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

GSM9146642 SCC7-T1 SCC7-T
GSM9146643 SCC7-T2 SCC7-T
GSM9146644 SCC7-T3 SCC7-T
GSM9146645 SCC7-T4 SCC7-T
GSM9146646 SCC7-T5 SCC7-T
GSM9146647 SCC7-T6 SCC7-T
GSM9146648 SCC7-T7 SCC7-T
GSM9146649 SCC7-T8 SCC7-T
GSM9146650 SCC7-T9 SCC7-T
GSM9146651 SCC7-T10 SCC7-T
GSM9146652 SCC7-T11 SCC7-T
GSM9146653 SCC7-T12 SCC7-T
GSM9146654 SCC7-T13 SCC7-T
GSM9146655 SCC7-T14 SCC7-T
GSM9146656 SCC7-T15 SCC7-T
GSM9146657 SCC7-T16 SCC7-T
GSM9146658 SCC7-T17 SCC7-T
GSM9146659 SCC7-T18 SCC7-T
GSM9146660 SCC7-T19 SCC7-T
GSM9146661 SCC7-T20 SCC7-T
GSM9146662 SCC7-T21 SCC7-T
GSM9146663 SCC7-T22 SCC7-T
GSM9146664 SCC7-T23 SCC7-T
GSM9146665 SCC7-T24 SCC7-T

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Search all mouse RNA-seq datasets in GEO →

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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.