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Neutrophil Degranulation is Increased at Seven Days after Human Intracerebral Hemorrhage, but not at 72 Hours, and Correlates with Decreased miR-3613 and miR-3690

GSE296792 Homo sapiens (human) Non-coding RNA profiling 154 samples Submitted 2025/08/18 Platform GPL30173
At a glance

Non-coding RNA profiling · human · 154 samples

What it is
Non-coding RNA profilingLevels of RNAs that do not code for proteins, such as miRNA or lncRNA.
Organism
Homo sapiens (human)
Samples
154 samples: 154 samples, each with a distinct title — no replicated groupsGroups 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
Neutrophil degranulation is increased at seven days after human intracerebral hemorrhage, but not at 72 h, and correlates with decreased miR-3613 and miR-3690BMC neurology · 2025
Summary (written by the submitters)
Intracerebral hemorrhage (ICH) occurs when there s spontaneous, non-traumatic bleeding into the brain and accounts for 50% of stroke-related mortality. We report mRNA-seq and miRNA-seq in the peripheral blood of ICH patients with three serial samples during the first week after the stroke. Twenty-seven ICH patients were enrolled via 24/7 screening and peripheral blood sampled at <24 hours (baseline), 72 hours (+/-12 hours), and 7 days (+/- 2days) from last known normal.
Read the full summary ↓
mRNA-seq and miRNA-seq were assessed for differential expression (DE) between the time points and pathways identified via enrichment analysis as well as principal component analysis (PCA) were performed. Our analysis found that neutrophil degranulation was the prominent enriched pathway at 7 days after ICH. miR-3613 and miR-3690 are potential regulators of neutrophil degranulation after ICH.
Published in
Neutrophil degranulation is increased at seven days after human intracerebral hemorrhage, but not at 72 h, and correlates with decreased miR-3613 and miR-3690
Walsh KB, Marion MC, Li D et al. · BMC neurology 2025 · PMID 41013382 · doi:10.1186/s12883-025-04408-w
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 GSE296792_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.

Also filed as BioProject PRJNA1261052 and SRA study SRP584288. Searching any of these in the dataset finder brings you back here.

Study design
154 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 154 sample titles: 154 distinct titles with little repetition. 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

+ 114 more — browse all 154 samples with per-sample file links →

Datasets on a similar topic

Search all human RNA-seq datasets in GEO →

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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.