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Gene expression profiling using RNA-Seq data of 12 mouse syngeneic tumor models treated with lenvatinib

GSE281579 Mus musculus (mouse) RNA-seq (gene expression) 107 samples Submitted 2025/01/22 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 107 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
107 samples: 36 conditions, mostly in triplicateGroups 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
Development of a Microvessel Density Gene Signature and Its Application in Precision MedicineCancer research communications · 2025
Summary (written by the submitters)
We performed RNA-Seq analysis using total RNA extracted from tumor tissues of 12 mouse syngeneic tumor models resected from mice orally administered lenvatinib (10 mg/kg once daily), without any treatment (No Treatment) for 7 days (Day 8 NT or Day 8 LEN), or tumor tissues resected from mice when tumor volume reached approximately 100 mm3 (Baseline NT), to investigate the baseline characteristics of 12 tumor models and differentially expressed genes by the drug treatment.
Published in
Development of a Microvessel Density Gene Signature and Its Application in Precision Medicine
Kuronishi M, Ozawa Y, Kimura T et al. · Cancer research communications 2025 · PMID 39835481 · doi:10.1158/2767-9764.CRC-24-0403
This dataset
Open GSE281579 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 GSE281579_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 PRJNA1184750 and SRA study SRP544481. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39835481) ↗
Study design
36 conditions, mostly in triplicate
BNL-Base ×3 RAG-Base ×3 4T1-Base ×3 CT26-Base ×3 EMT6-Base ×3 Renca-Base ×3 B16F10-Base ×3 LL2-Base ×3 +28 more

Supports a between-group comparison across 107 samples.

How we read this: 36 replicated groups read from 107 sample titles; they account for 107 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

+ 67 more — browse all 107 samples with per-sample file links →

Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

Share this dataset

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.