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RNA-seq Identifies FOS as a Potential Therapeutic Target Activating Neural Stem Cells via miR-21/SOX2 Pathway in Hypertensive Intracerebral Hemorrhage

GSE335924 Homo sapiens (human) RNA-seq (gene expression) 53 samples Submitted 2026/06/24 Platform GPL34284
At a glance

RNA-seq (gene expression) · human · 53 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
Homo sapiens (human)
Samples
53 samples: 28 × ICH vs 25 × shGroups 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)
Objective: Intracerebral hemorrhage (ICH) is a severely devastating neurological disorder. At present, there is no specific effective therapy for ICH, and its pathophysiological mechanism remains incompletely elucidated. Herein, we attempted to identify blood mRNA biomarkers, potential therapeutic targets and pathways associated with ICH via RNA sequencing.
Read the full summary ↓
Results: Biological analysis of RNA-seq data screened numerous differentially expressed genes involved in various biological processes including inflammation, immunity and regeneration, which were systematically summarized in this study. Through bioinformatic analysis and experimental validation, we found that the expression level of FOS gene was upregulated after ICH, with the potential to participate in the proliferation and differentiation of neural stem cells and promote neural recovery. Our research further indicated that Fos may be involved in the regulation of biological behaviors of neural stem cells via the miR-21/SOX2 signaling pathway, although its exact mode of action requires further investigation. Conclusion: Collectively, RNA-seq delineated the precise transcriptional alterations in peripheral blood between patients with hypertensive intracerebral hemorrhage and hypertensive control subjects. These findings establish a potential therapeutic target centered on the FOS gene, which is aimed at activating neural stem cells following intracerebral hemorrhage.
This dataset
Open GSE335924 in finder → Find more human 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 GSE335924_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 PRJNA1479820 and SRA study SRP710764. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
28 × ICH vs 25 × sh

Supports a between-group comparison across 53 samples.

How we read this: 2 replicated groups read from 53 sample titles; they account for 53 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

+ 13 more — browse all 53 samples with per-sample file links →

Datasets on a similar topic

Search all human 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.