Attenuation of Fibroblast Activation and Fibrosis by Adropin in Systemic Sclerosis (SSc)
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 12 samples
- What it is
- ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
- Organism
- Homo sapiens (human)
- Samples
- 12 samples: 3 × C vs 3 × T vs 3 × AT vs 3 × InputGroups 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
- Attenuation of fibroblast activation and fibrosis by adropin in systemic sclerosisScience translational medicine · 2024
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 GSE252139_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: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.
Also filed as BioProject PRJNA1057863 and SRA study SRP480351. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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.
- GSM7995041 C-1 C
- GSM7995042 C-2 C
- GSM7995043 C-3 C
- GSM7995044 T-1 T
- GSM7995045 T-2 T
- GSM7995046 T-3 T
- GSM7995047 AT-1 AT
- GSM7995048 AT-2 AT
- GSM7995049 AT-3 AT
- GSM7995050 Input-1 Input
- GSM7995051 Input-2 Input
- GSM7995052 Input-3 Input
- GSE292702 Characterisation of a pathogenic non-migratory fibroblast population in systemic sclerosis skin 12 samples shares fibroblast, sclerosis, systemic
- GSE320020 Macrophage–Fibroblast Signaling Network Identified by Single-Cell RNA Sequencing in Juvenile Systemic Sclerosis 11 samples shares fibroblast, sclerosis, systemic
- GSE277909 Epigenetic attenuation of interferon signaling drives aging-related improvements in systemic lupus 271 samples shares attenuation, systemic
- GSE318645 Dual Immune Checkpoint Blockade Induces Distinct Systemic and Intratumoral Immune Activation in Recurrent Glioblastoma 226 samples shares activation, systemic
- GSE130955 Global skin gene expression profile of early diffuse cutaneous systemic sclerosis shows a prominent innate and adaptive immunity profile 91 samples shares sclerosis, systemic
- GSE273882 Arginine Promotes The Activation of Human Lung Fibroblasts Independent of Its Metabolism 52 samples shares fibroblast, activation
- GSE217494 Targeting Immune-Fibroblast Crosstalk in Myocardial Infarction and Cardiac Fibrosis I 44 samples shares fibroblast, fibrosis
- GSE275145 Creeping fat-derived mechanosensitive fibroblasts drive intestinal fibrosis in Crohn’s disease strictures [Human scRNA-seq] 29 samples shares fibroblast, fibrosis
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.