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Effect of Ethoxysanguinarine treatment on gene expression after Angiotensin-II infused C57BL/6 mice

GSE261792 Mus musculus (mouse) RNA-seq (gene expression) 18 samples Submitted 2026/03/13 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 18 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
18 samples: 6 × C vs 6 × A vs 6 × EGroups 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)
The goals of this study is to identify the differential expressed genes in cardiac tissue of C57BL/6 mice with or without Angiotensin II (AngII) treatment, and compare the differential expressed genes in the cardiac tissue of Ang II infused C57BL/6 mice after Ethoxysanguinarine (ETH) treatment. Briefly, the mice (n=18) were randomly divided into 3 groups: control, AngII, AngII + ETH (n=6 for each group).
Read the full summary ↓
Mice in Control and AngII groups were infused with saline and 500 ng/kg/min of AngII respectively, and orally administrated with saline; the mice in AngII + ETH group were infused with AngII (500 ng/kg/min) and orally administrated with 10 mg/kg /day of ETH daily for total 4 weeks. Then the cardiac tissue were used to identify differentially expressed genes among different groups.
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 GSE261792_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 PRJNA1089081 and SRA study SRP496019. Searching any of these in the dataset finder brings you back here.

Study design
6 × C vs 6 × A vs 6 × E

Supports a between-group comparison across 18 samples.

How we read this: 3 replicated groups read from 18 sample titles; they account for 18 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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