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TertHigh Cells: Key Players in Salivary Gland Homeostasis and Regeneration after Radiation Therapy in Adult Mice

GSE247866 Mus musculus (mouse) RNA-seq (gene expression) 14 samples Submitted 2026/01/01 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 14 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
14 samples: 4 × Tert+ cell, RT, vs 4 × Tert- cell, RT, vs 3 × Tert+ cell, no RT, vs 3 × Tert- cell, no RT,Groups 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)
To gain insight into the mechanisms by which TertHigh populations regulate cell survival post radiation treatment, we conducted RNA-Seq analysis of sorted TertHigh and TertLow SMG cells treated with or without RT. In this experiment, 2-month-old TertCreERT2/+Rosa26LSL-tdTomato/+ mice were treated with tamoxifen, followed by RT after a 7-day interval. Subsequently, the SMGs were harvested and dissociated 36 hours after RT treatment. We isolated and separately sorted 10,000 TertHigh and TertLow cells for 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 GSE247866_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 PRJNA1040839 and SRA study SRP472173. Searching any of these in the dataset finder brings you back here.

Study design
4 × Tert+ cell, RT, vs 4 × Tert- cell, RT, vs 3 × Tert+ cell, no RT, vs 3 × Tert- cell, no RT,

Supports a between-group comparison across 14 samples.

How we read this: 4 replicated groups read from 14 sample titles; they account for 14 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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