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Intracerebral Hemorrhage Induces Inflammatory Gene Expression in Peripheral Blood: Global Transcriptional Profiling in ICH Patients

GSE125512 Homo sapiens (human) RNA-seq (gene expression) 22 samples Submitted 2019/04/21 Platform GPL15433
At a glance

RNA-seq (gene expression) · human · 22 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
22 samples
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)
Intracerebral hemorrhage (ICH) is a severe neurological disorder with no proven treatment. While there is substantial interest in post-ICH neuroinflammation and associated pathophysiological mechanisms, these processes remain poorly understood. To further advance our understanding, we performed RNA-seq in the peripheral blood of ICH patients to test the hypothesis that ICH would induce inflammatory biological pathways.
Read the full summary ↓
16,640 genes were identified and 216 were significant DEGs after ICH (FDR<0.1). IPA identified three canonical pathways as the most statistically significantly activated by ICH: colorectal cancer metastasis signaling (Z-score 3.00, P=1.71E-5), interleukin-8 (IL-8) signaling (3.00, 8.44E-5), and nuclear factor-kappa B (NF-kB) activation by viruses (2.55, 1.78E-4). Inflammatory mediators of particular relevance included IL-8, NF-kB, ERK 1/2, and the integrins β3, α2b, and β5. Conclusion: ICH induced peripheral blood gene expression at 72 to 96 hours compared with 0 to 24 hours from symptom onset. DEGs that were highly expressed in the significant biological pathways included those related to inflammation and activation of the immune response. Further research is needed to determine if these changes affect outcomes and may represent new therapeutic targets.
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 GSE125512_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 PRJNA516650 and SRA study SRP181628. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 22 more — browse all 22 samples with per-sample file links →

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