Neutralizing IL-22RA1 improves histological and molecular alterations associated with atopic dermatitis pathogenesis
RNA-seq (gene expression) · human · 20 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
- 20 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.
Read the full summary ↓
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 GSE313454_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 PRJNA1379549 and SRA study SRP654433. 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 MUC14402 … MUC29528 and carry no group information.
- GSM9368246 MUC14402
- GSM9368247 MUC26158
- GSM9368248 MUC26159
- GSM9368249 MUC26160
- GSM9368250 MUC29508
- GSM9368251 MUC29509
- GSM9368252 MUC29513
- GSM9368253 MUC29514
- GSM9368254 MUC29517
- GSM9368255 MUC29518
- GSM9368256 MUC29519
- GSM9368257 MUC29520
- GSM9368258 MUC29521
- GSM9368259 MUC29522
- GSM9368260 MUC29523
- GSM9368261 MUC29524
- GSM9368262 MUC29525
- GSM9368263 MUC29526
- GSM9368264 MUC29527
- GSM9368265 MUC29528
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- GSE264091 Altered TE-derived genes leads to pathogenesis of FXD 147 samples shares pathogenesis
- GSE221740 Plasma multi-omics identify early pathogenesis and biomarkers of SCD post-AMI 106 samples shares pathogenesis
- GSE261775 A systems-biology approach connects aging mechanisms with Alzheimer’s disease pathogenesis [TCPY] 94 samples shares pathogenesis
- GSE264089 Altered TE-derived genes leads to pathogenesis of FXD [PacBioRNASeq] 84 samples shares pathogenesis
- GSE130970 Gene expression predicts histological severity and reveals distinct molecular profiles of nonalcoholic fatty liver disease 78 samples shares histological
- GSE292317 CYP1B1-AS1 regulates CYP1B1 to promote Coxiella burnetii pathogenesis by inhibiting ROS and host cell death 78 samples shares pathogenesis
- GSE275765 Neuronal Activity-Dependent Gene Dysregulation inC9orf72i3Neuronal Models of ALS/FTD Pathogenesis 78 samples shares pathogenesis
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.