Bulk RNA-seq of primary keratinocytes treated with IgG from patients with bullous pemphigoid or controls II
RNA-seq (gene expression) · human · 14 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
- 14 samples: 5 × nTERT-BP-IgG vs 5 × MyD88 KO nTERT-BP-IgG vs 4 × MyD88 KO nTERT Ctrl-IgGGroups 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
- IgG autoantibodies in bullous pemphigoid induce a pathogenic MyD88-dependent pro-inflammatory response in keratinocytesNature communications · 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 GSE280620_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 PRJNA1179499 and SRA study SRP541862. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 14 samples.
How we read this: 3 replicated groups read from 14 sample titles; they account for 14 of them. 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.
- GSM8602326 nTERT-BP-IgG1 nTERT-BP-IgG
- GSM8602327 nTERT-BP-IgG2 nTERT-BP-IgG
- GSM8602328 nTERT-BP-IgG3 nTERT-BP-IgG
- GSM8602329 nTERT-BP-IgG4 nTERT-BP-IgG
- GSM8602330 nTERT-BP-IgG5 nTERT-BP-IgG
- GSM8602331 MyD88 KO nTERT-BP-IgG1 MyD88 KO nTERT-BP-IgG
- GSM8602332 MyD88 KO nTERT-BP-IgG2 MyD88 KO nTERT-BP-IgG
- GSM8602333 MyD88 KO nTERT-BP-IgG3 MyD88 KO nTERT-BP-IgG
- GSM8602334 MyD88 KO nTERT-BP-IgG4 MyD88 KO nTERT-BP-IgG
- GSM8602335 MyD88 KO nTERT-BP-IgG5 MyD88 KO nTERT-BP-IgG
- GSM8602336 MyD88 KO nTERT Ctrl-IgG1 MyD88 KO nTERT Ctrl-IgG
- GSM8602337 MyD88 KO nTERT Ctrl-IgG2 MyD88 KO nTERT Ctrl-IgG
- GSM8602338 MyD88 KO nTERT Ctrl-IgG3 MyD88 KO nTERT Ctrl-IgG
- GSM8602339 MyD88 KO nTERT Ctrl-IgG4 MyD88 KO nTERT Ctrl-IgG
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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.