Keratinocyte-secreted SAA1 induces a population of long-lived antigen-presenting neutrophils that drives Sweet Syndrome
RNA-seq (gene expression) · human · 17 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
- 17 samples: 17 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.
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 GSE291004_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 PRJNA1231366 and SRA study SRP567801. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 17 sample titles: 17 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.
- GSM8827475 Patient 1 affected skin_scRNA-seq
- GSM8827476 Patient 2 affected skin_scRNA-seq
- GSM8827477 Patient 3 affected skin_scRNA-seq
- GSM8827478 Patient 4 affected skin_scRNA-seq
- GSM8827479 Patient 5 affected skin_scRNA-seq
- GSM8827480 Patient 6 affected skin_scRNA-seq
- GSM8827481 Patient 1 unaffected skin_scRNA-seq
- GSM8827482 Patient 3 unaffected skin_scRNA-seq
- GSM8827483 Patient 4 unaffected skin_scRNA-seq
- GSM8827484 Patient 5 unaffected skin_scRNA-seq
- GSM8827485 Patient 6 unaffected skin_scRNA-seq
- GSM8827486 Patient 1 blood neutrophils_scRNA-seq
- GSM8827487 Patient 2 blood neutrophils_scRNA-seq
- GSM8827488 Patient 3 blood neutrophils_scRNA-seq
- GSM8827489 Patient 5 blood neutrophils_scRNA-seq
- GSM8827490 Patient 6 blood neutrophils_scRNA-seq
- GSM8827491 Patient 7 blood neutrophils_scRNA-seq
- GSE275823 Uncovering the Dynamics of Immune Cell Populations in the First Week of Life: The Interplay of Neutrophils and Breastfeeding 178 samples shares neutrophils, population
- GSE271618 Glioblastoma induces the recruitment and differentiation of hybrid neutrophils from skull bone marrow 2 samples shares neutrophils, induces
- GSE334369 Paradoxical Phenotype of Fibromyalgia Neutrophils: Elevated Baseline Inflammation but Blunted Response to Stimulation 206 samples shares neutrophils
- GSE324265 Contribution of cytotoxic CD8 T cells, neutrophils and type 1 interferon signaling to hyperinflammatory pathology in HIV associated TB meningitis [RNA-Seq] 125 samples shares neutrophils
- GSE278206 Characterization of the transcriptional profile of circulating neutrophils from COPD patients [RNA-Seq] 77 samples shares neutrophils
- GSE302306 Transcriptomic Profiling of CD66b+ Neutrophils from Healthy Controls and Cardiac Surgery Patients with Vasoplegic and Septic Shock Syndromes Across Multiple Timepoints 68 samples shares neutrophils
- GSE324044 Contribution of cytotoxic CD8 T cells, neutrophils and type 1 interferon signaling to hyperinflammatory pathology in HIV associated TB meningitis 64 samples shares neutrophils
- GSE270695 S100A8/A9 contributes to inflammatory exacerbations in neutrophils and monocytes from PAMI syndrome 52 samples shares neutrophils
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.