Research on the Pathogenesis of Systemic Sclerosis
Non-coding RNA profiling · human · 20 samples
- What it is
- Non-coding RNA profilingLevels of RNAs that do not code for proteins, such as miRNA or lncRNA.
- Organism
- Homo sapiens (human)
- Samples
- 20 samples: 5 × D vs 5 × ZY vs 5 × miRNA_D vs 5 × miRNA_ZYGroups 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
- Correlation of TTLL7-IT1/Hsa-miR-29c-3p/GLS with limited cutaneous systemic sclerosis and exploration of the underlying mechanismsFrontiers in immunology · 2026
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 GSE308096_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.
Also filed as BioProject PRJNA1328731 and SRA study SRP620500. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 20 samples.
How we read this: 4 replicated groups read from 20 sample titles; they account for 20 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.
- GSM9237768 D11 D
- GSM9237769 D13 D
- GSM9237770 D16 D
- GSM9237771 D18 D
- GSM9237772 D20 D
- GSM9237773 ZY3 ZY
- GSM9237774 ZY4 ZY
- GSM9237775 ZY8 ZY
- GSM9237776 ZY10 ZY
- GSM9237777 ZY11 ZY
- GSM9237778 miRNA_D11 miRNA_D
- GSM9237779 miRNA_D13 miRNA_D
- GSM9237780 miRNA_D16 miRNA_D
- GSM9237781 miRNA_D18 miRNA_D
- GSM9237782 miRNA_D20 miRNA_D
- GSM9237783 miRNA_ZY3 miRNA_ZY
- GSM9237784 miRNA_ZY4 miRNA_ZY
- GSM9237785 miRNA_ZY8 miRNA_ZY
- GSM9237786 miRNA_ZY10 miRNA_ZY
- GSM9237787 miRNA_ZY11 miRNA_ZY
- 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
- GSE295274 Cellular and molecular dysregulation of the esophageal epithelium in systemic sclerosis 37 samples shares sclerosis, systemic
- GSE317056 Sex disparity in systemic sclerosis-associated pulmonary fibrosis. 24 samples shares sclerosis, systemic
- GSE332819 Longitudinal CITE-seq analysis in juvenile-onset systemic sclerosis monocytes following autologous stem cell transplant 15 samples shares sclerosis, systemic
- GSE292979 Characterisation of a pathogenic non-migratory fibroblast population in systemic sclerosis skin [scRNA-Seq] 15 samples shares sclerosis, systemic
- GSE292702 Characterisation of a pathogenic non-migratory fibroblast population in systemic sclerosis skin 12 samples shares sclerosis, systemic
- GSE267348 Deficiency of lymphatic ERG and FLI1 in systemic sclerosis is associated with rarefaction of skin blood and lymphatic vasculature 12 samples shares sclerosis, systemic
- GSE252139 Attenuation of Fibroblast Activation and Fibrosis by Adropin in Systemic Sclerosis (SSc) 12 samples shares sclerosis, systemic
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.