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Transcriptomic analysis of low-level vagus nerve stimulation effects on cardiac remodeling in pressure overload-induced heart failure

GSE310767 Mus musculus (mouse) RNA-seq (gene expression) 21 samples Submitted 2025/12/19 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 21 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
21 samples: 7 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.
Summary (written by the submitters)
Heart failure (HF) affects approximately 56 million people worldwide with a 5-year mortality rate exceeding 50%. This study investigated the molecular mechanisms underlying the cardioprotective effects of low-level vagus nerve stimulation (LL-VNS) delivered via a biodegradable triboelectric nanogenerator (BTENG) in a murine aortic banding model.
Read the full summary ↓
Male C57BL/6 mice underwent aortic banding surgery to induce pressure overload-induced heart failure. LL-VNS treatment (4 μA peak-to-peak, 2 Hz) was initiated at different timepoints (1, 2, or 4 weeks post-surgery) to evaluate stage-specific therapeutic effects. Two stimulation durations (10 or 20 minutes daily) were tested for the 1-week intervention group. RNA sequencing was performed on cardiac tissue collected at 8 weeks post-surgery to identify gene expression changes and pathway alterations. Results demonstrate that LL-VNS significantly modulates extracellular matrix remodeling, programmed cell death, and muscle structure development pathways across different intervention timepoints, providing molecular evidence for its therapeutic efficacy in preventing and reversing cardiac remodeling and heart failure progression.
This dataset
Open GSE310767 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 GSE310767_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 PRJNA1367050 and SRA study SRP647309. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
7 conditions, mostly in triplicate
Cardiac tissue from sham-operated mouse ×3 Cardiac tissue from aortic banding without th… ×3 Cardiac tissue from AB with device implant ×3 Cardiac tissue from AB with LL-VNS 20min star… ×3 Cardiac tissue from AB with LL-VNS 20min star… ×3 Cardiac tissue from AB with LL-VNS 20min star… ×3 Cardiac tissue from AB with LL-VNS 10min star… ×3

Supports a between-group comparison across 21 samples.

How we read this: 7 replicated groups read from 21 sample titles; they account for 21 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
Datasets on a similar topic

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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.