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Genome-wide tongue epithelia transcriptomic profiles from K14-rtTA;TRE-FLBmi-1 (KrTB), KrTB+Doxycycline (KrTB-D), KrTB+4-nitroquinoline 1-oxide (KrTB-N), and KrTB+Doxycycline+4-nitroquinoline 1-oxide (KrTB-DN).

GSE285101 Mus musculus (mouse) RNA-seq (gene expression) 16 samples Submitted 2025/03/19 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 16 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
16 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
Exogenous BMI1 expression aggravates oral squamous cell carcinomas in tongue epitheliaNeoplasia (New York, N.Y.) · 2025
Summary (written by the submitters)
We developed a transgenic mouse model (truncated K14-rtTA; TRE/Bmi1, KrTB) containing a doxycycline- (dox) controlled, Tet-responsive element system to selectively overexpress BMI1 only in the basal epithelial SCs of the tongue. Here, we used this model to delineate BMI1 actions in tongue epithelia during oral tumorigenesis (as induced by 4-nitroquinoline 1-oxide, 4-NQO).
Read the full summary ↓
Genome-wide transcriptomics indicated that mRNAs associated with human OSCC, including SOX9, HIF1A, MMP9, INHBB, and MYOF, were further increased by ectopic BMI1 expression in murine tongue epithelia. mRNAs encoding multiple metabolic targets, such as SLC2A1 (GLUT1), PKM, LDHA, and HK2, were also increased upon BMI1 overexpression in 4-NQO-treated tongue epithelia.
Published in
Exogenous BMI1 expression aggravates oral squamous cell carcinomas in tongue epithelia
Baquero J, Tang XH, Galke D et al. · Neoplasia (New York, N.Y.) 2025 · PMID 40009939 · doi:10.1016/j.neo.2025.101146
This dataset
Open GSE285101 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 GSE285101_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 PRJNA1201176 and SRA study SRP553019. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40009939) ↗
Study design
A cohort of 16 individual samples

The grouping that defines any comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Sample titles run KrTB-26 … KrTB-95 and carry no group information.

Samples in this study
Datasets on a similar topic

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.