RNA-seq result of human skin derived from patients with psoriasis and healthy controls.
RNA-seq (gene expression) · human · 13 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
- 13 samples: 7 × Psoriasis skin vs 6 × Healthy control skinGroups 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 GSE295540_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 PRJNA1255152. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 13 samples.
How we read this: 2 replicated groups read from 13 sample titles; they account for 13 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.
- GSM8952536 Psoriasis skin 1 Psoriasis skin
- GSM8952537 Psoriasis skin 2 Psoriasis skin
- GSM8952538 Psoriasis skin 3 Psoriasis skin
- GSM8952539 Psoriasis skin 4 Psoriasis skin
- GSM8952540 Psoriasis skin 5 Psoriasis skin
- GSM8952541 Psoriasis skin 6 Psoriasis skin
- GSM8952542 Psoriasis skin 7 Psoriasis skin
- GSM8952543 Healthy control skin 1 Healthy control skin
- GSM8952544 Healthy control skin 2 Healthy control skin
- GSM8952545 Healthy control skin 3 Healthy control skin
- GSM8952546 Healthy control skin 4 Healthy control skin
- GSM8952547 Healthy control skin 5 Healthy control skin
- GSM8952548 Healthy control skin 6 Healthy control skin
- GSE327386 RNA-Seq of paired diagnosis and relapse AML specimens with healthy controls 130 samples shares controls, rna-seq, healthy
- GSE161245 Comparison of bronchial epithelial cells obtained by bronchoscopy from mild asthma patients, moderate asthma patients, severe asthma patients and healthy controls 55 samples shares controls, healthy
- GSE303346 Single-Cell RNA-Seq Reveals Immunosuppressive Effects of Triple-Negative Breast Cancer–Derived Exosomes on NK Cell Responses 16 samples shares rna-seq, derived
- GSE274560 RNA sequencing of psoriasis and healthy keratinocytes 16 samples shares psoriasis, healthy
- GSE298602 Single-cell RNA-Seq data from preeclamptic and healthy placentas 11 samples shares rna-seq, healthy
- GSE237489 RNA-seq for iPSC-derived macrophages with/without Lipopolysaccharide (LPS) stimulation. 8 samples shares rna-seq, derived
- GSE98793 Gene expression analysis in whole blood samples obtained from donors diagnosed with MDD compared to healthy controls 192 samples shares controls, healthy
- GSE319641 RNA-Seq profiling of pre- and on-treatment tumor samples from breast cancer patients enrolled in the NeoTRIP trial. 401 samples shares rna-seq
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.