Comparison of transcriptional profiles of human psoriatic skin and skin from K14-CreER/GPX4flox mouse model.
RNA-seq (gene expression) · human · 18 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
- 18 samples: 3 × K vs 3 × P vs 3 × NGroups 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
- Ferroptosis of select skin epithelial cells initiates and maintains chronic systemic immune-mediated psoriatic diseaseThe Journal of clinical investigation · 2024
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 GSE235950_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 PRJNA988075 and SRA study SRP446164. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 9 samples.
How we read this: 3 replicated groups read from 18 sample titles; they account for 9 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.
- GSM7512291 K03 WS
- GSM7512292 K05 WS
- GSM7512293 K06 WS
- GSM7512294 WT7 WS
- GSM7512295 WT8 WS
- GSM7512296 WT9 WS
- GSM7512297 K01 K
- GSM7512298 K02 K
- GSM7512299 K03 K
- GSM7512300 WTA
- GSM7512301 WTC
- GSM7512302 WTD
- GSM7512303 P1 P
- GSM7512304 N1 N
- GSM7512305 P2 P
- GSM7512306 N2 N
- GSM7512307 P5 P
- GSM7512308 N5 N
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.