"Hepatocyte growth factor has a unique function in keratinocytes that differs from IL-17A and TNF-aand may contribute to the severity of hidradenitis suppurativa.”
Single-cell RNA-seq · human · 24 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
- Organism
- Homo sapiens (human)
- Samples
- 24 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.
- Paper
- Hepatocyte Growth Factor Has Unique Functions in Keratinocytes that Differ from those of IL-17A and TNF and May Contribute to Inflammatory Pathways in Hidradenitis SuppurativaThe Journal of investigative dermatology · 2025
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 GSE269700_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.
Also filed as BioProject PRJNA1123256 and SRA study SRP513557. Searching any of these in the dataset finder brings you back here.
The grouping that defines any comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Sample titles run X1 … X24 and carry no group information.
- GSM8324985 X1
- GSM8324986 X2
- GSM8324987 X3
- GSM8324988 X4
- GSM8324989 X5
- GSM8324990 X6
- GSM8324991 X7
- GSM8324992 X8
- GSM8324993 X9
- GSM8324994 X10
- GSM8324995 X11
- GSM8324996 X12
- GSM8324997 X13
- GSM8324998 X14
- GSM8324999 X15
- GSM8325000 X16
- GSM8325001 X17
- GSM8325002 X18
- GSM8325003 X19
- GSM8325004 X20
- GSM8325005 X21
- GSM8325006 X22
- GSM8325007 X23
- GSM8325008 X24
- GSE220116 Single-cell transcriptomics suggest distinct upstream drivers of IL-17A/F in hidradenitis versus psoriasis 36 samples shares il-17a, hidradenitis
- GSE315599 Primary human fibroblasts and keratinocytes stimulated with IL-17A and/or TNF 32 samples shares il-17a, keratinocytes
- GSE306437 Unique B and plasma cell signature differentiates hidradenitis suppurativa from psoriasis and atopic dermatitis. 118 samples shares hidradenitis, suppurativa
- GSE154773 Transcriptome profiling for hidradenitis suppurativa 63 samples shares hidradenitis, suppurativa
- GSE213761 Transcriptome of skin biopsies from Hidradenitis Suppurativa (HS) patients with anti-TNFalpha therapy. 59 samples shares hidradenitis, suppurativa
- GSE315442 Transcriptomic profiling reveals distinct molecular signatures among lesion types in hidradenitis suppurativa 48 samples shares hidradenitis, suppurativa
- GSE307069 Plastic associated endocrine disruptors reduce Nicastrin protein and potentiate inflammation in Hidradenitis Suppurativa skin disease 26 samples shares hidradenitis, suppurativa
- GSE298444 IgA autoantibodies trigger pro-inflammatory, pro-fibrotic and type I interferon responses in Hidradenitis suppurativa skin lesion 24 samples shares hidradenitis, suppurativa
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.