Comprehensive analysis of phenotypes and transcriptome characteristics reveal important contribution of chronic stress and immune response in the pathogenesis of acne vulgaris
RNA-seq (gene expression) · mouse · 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
- Mus musculus (mouse)
- Samples
- 18 samples: 6 × Control vs 4 × Acne vs 4 × Acne_Pressure vs 4 × PressureGroups 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 GSE325321_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 PRJNA1439644 and SRA study SRP685017. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 18 samples.
How we read this: 4 replicated groups read from 18 sample titles; they account for 18 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.
- GSM9600732 Control1 Control
- GSM9600733 Control2 Control
- GSM9600734 Control3 Control
- GSM9600735 Control4 Control
- GSM9600736 Control5 Control
- GSM9600737 Control6 Control
- GSM9600738 Acne1 Acne
- GSM9600739 Acne2 Acne
- GSM9600740 Acne3 Acne
- GSM9600741 Acne4 Acne
- GSM9600742 Acne_Pressure1 Acne_Pressure
- GSM9600743 Acne_Pressure2 Acne_Pressure
- GSM9600744 Acne_Pressure3 Acne_Pressure
- GSM9600745 Acne_Pressure4 Acne_Pressure
- GSM9600746 Pressure1 Pressure
- GSM9600747 Pressure2 Pressure
- GSM9600748 Pressure3 Pressure
- GSM9600749 Pressure4 Pressure
- GSE310244 Dynamic Resilience: Stress Phenotypes and Their Impact on Opioid-Taking Behavior, Brain Activity, and Gene Expression 68 samples shares phenotypes, stress
- GSE174780 Sperm transcriptional state associated with paternal transmission of stress phenotypes 58 samples shares phenotypes, stress
- GSE336483 Stress-Coping Phenotypes Shape Adipose Tissue Function and Plasticity and Modulate Metabolic Resilience 36 samples shares phenotypes, stress
- GSE262315 Comprehensive Analysis of Phenotypes and Transcriptome Characteristics Reveal the Best Atopic Dermatitis Mouse Model Induced by MC903 34 samples shares characteristics, phenotypes
- GSE216398 miR-29 is an important driver of aging-related phenotypes 17 samples shares phenotypes, important
- GSE291163 Testing the contribution of FGL1 to the pathogenesis of metabolic dysfunction-associated steatotic liver disease and hepatocellular carcinoma 16 samples shares contribution, pathogenesis
- GSE304867 Chronic compression recapitulates transcriptional, metabolic, and functional state changes in macrophages associated with pro-tumor phenotypes 12 samples shares phenotypes, chronic
- GSE270426 Single-cell and spatial transcriptomics reveal the pathogenesis of chronic granulomatous disease under natural conditions [RNA-Seq] 6 samples shares pathogenesis, chronic
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.