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Cordyceps sinensis extract mixture, and two active components D-Mannitol and Ergosterol associated with neuroprotective effects in H2O2-induced PC12 and SH-SY5Y cell models

GSE331260 Rattus norvegicus (rat) RNA-seq (gene expression) 48 samples Submitted 2026/05/23 Platform GPL34284Platform GPL34316
At a glance

RNA-seq (gene expression) · rat · 48 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
Rattus norvegicus (rat)
Samples
48 samples: 16 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)
Disorders of redox homeostasis and the excessive release of hydrogen peroxide (H2O2) are pivotal events in the pathogenesis of epilepsy, contributing to neuronal hyperexcitability, mitochondrial dysfunction, and subsequent cell death. Cordyceps sinensis (C. sinensis), a traditional Chinese medicine renowned for its tonic properties, has been traditionally used to alleviate a variety of ailments.
Read the full summary ↓
Emerging evidence suggests that C. sinensis and its active constituents possess significant sedative and anti-inflammatory effects. Transcriptomic sequencing was conducted on the H2O2-induced cell lines treated with varying concentrations of the C. sinensis mixture and monomers to validate and integrate the findings. This research investigates the neuroprotective and anticonvulsant effects of C. sinensis extract against H2O2-induced oxidative stress and excitotoxicity in neuronal models of epilepsy.
This dataset
Open GSE331260 in finder → Find more 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 GSE331260_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 PRJNA1467573 and SRA study SRP701607. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
16 conditions, mostly in triplicate
PC12 Cells, DMEMControl, 0, biol ×3 PC12 Cells, H2O2Control, 0, biol ×3 PC12 Cells, C. sinensis extract mixture, low,… ×3 PC12 Cells, C. sinensis extract mixture, high… ×3 PC12 Cells, D-Mannitol, low, biol ×3 PC12 Cells, D-Mannitol, high, biol ×3 PC12 Cells, Ergosterol, low, biol ×3 PC12 Cells, Ergosterol, high, biol ×3 +8 more

Supports a between-group comparison across 48 samples.

How we read this: 16 replicated groups read from 48 sample titles; they account for 48 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

+ 8 more — browse all 48 samples with per-sample file links →

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