Neutrophil transcriptomes in blunt traumatic injury
RNA-seq (gene expression) · human · 80 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
- 80 samples: 79 distinct titles, 1 of them repeatedGroups 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.
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.
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.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE302316_RAW.tar (it can run to tens of gigabytes).
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 PRJNA1289860. Searching any of these in the dataset finder brings you back here.
Supports a case/control comparison: 78 samples read as cases, 2 as controls.
How we read this: Read from 80 sample titles: 79 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.
- GSM9101720 Neutrophil RNA-seq from cardiac surgery patient CT1 at 0h
- GSM9101721 Neutrophil RNA-seq from cardiac surgery patient CT1 at 8h
- GSM9101722 Neutrophil RNA-seq from cardiac surgery patient CT1 at 24h
- GSM9101723 Neutrophil RNA-seq from cardiac surgery patient CT1 at 72h
- GSM9101724 Neutrophil RNA-seq from trauma patient T13 at 0h
- GSM9101725 Neutrophil RNA-seq from trauma patient T3 at 0h
- GSM9101726 Neutrophil RNA-seq from trauma patient T3 at 24h
- GSM9101727 Neutrophil RNA-seq from trauma patient T4 at 8h
- GSM9101728 Neutrophil RNA-seq from trauma patient T4 at 24h
- GSM9101729 Neutrophil RNA-seq from trauma patient T4 at 72h
- GSM9101730 Neutrophil RNA-seq from trauma patient T7 at 0h
- GSM9101731 Neutrophil RNA-seq from trauma patient T7 at 8h
- GSM9101732 Neutrophil RNA-seq from trauma patient T7 at 24h
- GSM9101733 Neutrophil RNA-seq from trauma patient T7 at 72h
- GSM9101734 Neutrophil RNA-seq from trauma patient T10 at 0h
- GSM9101735 Neutrophil RNA-seq from trauma patient T10 at 8h
- GSM9101736 Neutrophil RNA-seq from trauma patient T10 at 24h
- GSM9101737 Neutrophil RNA-seq from trauma patient T10 at 72h
- GSM9101738 Neutrophil RNA-seq from trauma patient T12 at 0h
- GSM9101739 Neutrophil RNA-seq from trauma patient T12 at 8h
- GSM9101740 Neutrophil RNA-seq from trauma patient T12 at 24h
- GSM9101741 Neutrophil RNA-seq from trauma patient T13 at 8h
- GSM9101742 Neutrophil RNA-seq from trauma patient T13 at 24h
- GSM9101743 Neutrophil RNA-seq from trauma patient T13 at 72h
- GSM9101744 Neutrophil RNA-seq from trauma patient T14 at 0h
- GSM9101745 Neutrophil RNA-seq from trauma patient T14 at 8h
- GSM9101746 Neutrophil RNA-seq from trauma patient T14 at 24h
- GSM9101747 Neutrophil RNA-seq from trauma patient T14 at 72h
- GSM9101748 Neutrophil RNA-seq from trauma patient T15 at 0h
- GSM9101749 Neutrophil RNA-seq from trauma patient T15 at 8h
- GSM9101750 Neutrophil RNA-seq from trauma patient T18 at 0h
- GSM9101751 Neutrophil RNA-seq from trauma patient T18 at 8h
- GSM9101752 Neutrophil RNA-seq from trauma patient T18 at 24h
- GSM9101753 Neutrophil RNA-seq from trauma patient T18 at 72h
- GSM9101754 Neutrophil RNA-seq from trauma patient T19 at 0h
- GSM9101755 Neutrophil RNA-seq from trauma patient T19 at 8h
- GSM9101756 Neutrophil RNA-seq from trauma patient T19 at 24h
- GSM9101757 Neutrophil RNA-seq from trauma patient T19 at 72h
- GSM9101758 Neutrophil RNA-seq from trauma patient T22 at 0h
- GSM9101759 Neutrophil RNA-seq from trauma patient T22 at 24h
+ 40 more — browse all 80 samples with per-sample file links →
- GSE334369 Paradoxical Phenotype of Fibromyalgia Neutrophils: Elevated Baseline Inflammation but Blunted Response to Stimulation 206 samples shares neutrophil, blunt
- GSE293559 Acute Immunological Phenotypes in Individuals with Traumatic Spinal Cord Injury. 26 samples shares traumatic, injury
- GSE319253 Eicosapentaenoic Acid Reprograms Cerebrovascular Metabolism and Impairs Repair after Brain Injury, with Relevance to Chronic Traumatic Encephalopathy [human_brain_OnurE_RNA-seq] 24 samples shares traumatic, injury
- GSE220699 Selecting specific bio-markers and researching mechanisms of immune regulation from inhalation injury (ILI) and traumatic lung injury (TLI) based on single cell RNA sequencing technology 21 samples shares traumatic, injury
- GSE310054 A Neutrophil–Mesangial Cell Axis Promotes Glomerular Injury in Lupus Nephritis 20 samples shares neutrophil, injury
- GSE205672 Transcriptomes of human PBMCs and monocytes in sepsis patients 460 samples shares transcriptomes
- GSE330891 Spatial and cell type specific molecular genetic investigations of inflammatory myopathies with selective perifascicular injury. 301 samples shares injury
- GSE331197 Spatial and cell type specific molecular genetic investigations of inflammatory myopathies with selective perifascicular injury [RNA] 300 samples shares injury
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.