Affect of Aramchol on TGFβ stimulated H69 Cholangiocytes
RNA-seq (gene expression) · human · 12 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
- 12 samples: 3 × Aram vs 3 × TGFb_Aram vs 3 × TGFb vs 3 × VehicleGroups 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
- Aramchol attenuates fibrosis in mouse models of biliary fibrosis and blocks the TGFβ-induced fibroinflammatory mediators in cholangiocytesHepatology communications · 2025
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 GSE303012_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 PRJNA1293357 and SRA study SRP601821. 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.
- GSM9115793 Aram_1 Aram
- GSM9115794 Aram_2 Aram
- GSM9115795 Aram_3 Aram
- GSM9115796 TGFb_Aram_1 TGFb_Aram
- GSM9115797 TGFb_Aram_2 TGFb_Aram
- GSM9115798 TGFb_Aram_3 TGFb_Aram
- GSM9115799 TGFb_1 TGFb
- GSM9115800 TGFb_2 TGFb
- GSM9115801 TGFb_3 TGFb
- GSM9115802 Vehicle_1 Vehicle
- GSM9115803 Vehicle_2 Vehicle
- GSM9115804 Vehicle_3 Vehicle
- GSE237690 Lupus dermal fibroblasts hyper-respond to inflammatory cytokines and exhibit a pro-fibrotic phenotype to TGF-β in patients with scarring skin disease 317 samples shares tgf
- GSE282668 TGF-β signaling promotes astroglial activation and TDP-43 proteinopathy in organoid models of frontotemporal lobar degeneration 54 samples shares tgf
- GSE325569 Transcription analysis of primary dermal fibroblasts with different genotypes for CTGF rs9399005 SNP after irradiation or sham irradiation 51 samples shares tgf
- GSE299137 Autocrine TGFβ2 enforces a transcriptionally hybrid cell state in Ewing sarcoma 48 samples shares tgf
- GSE274024 NOX4/NOX1 dual inhibition in cholangiocarcinoma as an effective approach to target TGF-beta protumorigenic actions in cancer associated fibroblasts 45 samples shares tgf
- GSE264288 The effect of CRISPLD2 on TGFβ-induced fibroblast fibrosis 40 samples shares tgf
- GSE335752 Characterization of human M2-like (TGFbeta/IL10) vs M0 monocyte-derived macrophages 36 samples shares tgf
- GSE279240 Human intraepithelial mast cell differentiation and effector function are directed by TGF-b signaling 36 samples shares tgf
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.