The transcription factor ZNF469 regulates collagen production in liver fibrosis [RNAseq_HSC]
RNA-seq (gene expression) · human · 36 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
- 36 samples: 12 conditions, mostly in triplicateGroups 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
- The transcription factor ZNF469 regulates collagen production in liver fibrosisJCI insight · 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 GSE266939_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 PRJNA1108753 and SRA study SRP506284. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 36 samples.
How we read this: 12 replicated groups read from 36 sample titles; they account for 36 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.
- GSM8257189 HSC001_hNTO_12day_R1 HSC001_hNTO_12day
- GSM8257190 HSC001_hNTO_12day_R2 HSC001_hNTO_12day
- GSM8257191 HSC001_hNTO_12day_R3 HSC001_hNTO_12day
- GSM8257192 HSC001_COL1A1_12day_R1 HSC001_COL1A1_12day
- GSM8257193 HSC001_COL1A1_12day_R2 HSC001_COL1A1_12day
- GSM8257194 HSC001_COL1A1_12day_R3 HSC001_COL1A1_12day
- GSM8257195 HSC001_NR3C1_12day_R1 HSC001_NR3C1_12day
- GSM8257196 HSC001_NR3C1_12day_R2 HSC001_NR3C1_12day
- GSM8257197 HSC001_NR3C1_12day_R3 HSC001_NR3C1_12day
- GSM8257198 HSC001_RARG_12day_R1 HSC001_RARG_12day
- GSM8257199 HSC001_RARG_12day_R2 HSC001_RARG_12day
- GSM8257200 HSC001_RARG_12day_R3 HSC001_RARG_12day
- GSM8257201 HSC001_ZNF469_12day_R1 HSC001_ZNF469_12day
- GSM8257202 HSC001_ZNF469_12day_R2 HSC001_ZNF469_12day
- GSM8257203 HSC001_ZNF469_12day_R3 HSC001_ZNF469_12day
- GSM8257204 HSC001_RUNX1_12day_R1 HSC001_RUNX1_12day
- GSM8257205 HSC001_RUNX1_12day_R2 HSC001_RUNX1_12day
- GSM8257206 HSC001_RUNX1_12day_R3 HSC001_RUNX1_12day
- GSM8257207 HSC001_HOXB4_12day_R1 HSC001_HOXB4_12day
- GSM8257208 HSC001_HOXB4_12day_R2 HSC001_HOXB4_12day
- GSM8257209 HSC001_HOXB4_12day_R3 HSC001_HOXB4_12day
- GSM8257210 HSC001_MEF2D_12day_R1 HSC001_MEF2D_12day
- GSM8257211 HSC001_MEF2D_12day_R2 HSC001_MEF2D_12day
- GSM8257212 HSC001_MEF2D_12day_R3 HSC001_MEF2D_12day
- GSM8257213 HSC001_MSC_12day_R1 HSC001_MSC_12day
- GSM8257214 HSC001_MSC_12day_R2 HSC001_MSC_12day
- GSM8257215 HSC001_MSC_12day_R3 HSC001_MSC_12day
- GSM8257216 HSC001_RFX5_12day_R1 HSC001_RFX5_12day
- GSM8257217 HSC001_RFX5_12day_R2 HSC001_RFX5_12day
- GSM8257218 HSC001_RFX5_12day_R3 HSC001_RFX5_12day
- GSM8257219 HSC001_TBX3_12day_R1 HSC001_TBX3_12day
- GSM8257220 HSC001_TBX3_12day_R2 HSC001_TBX3_12day
- GSM8257221 HSC001_TBX3_12day_R3 HSC001_TBX3_12day
- GSM8257222 HSC001_TEAD3_12day_R1 HSC001_TEAD3_12day
- GSM8257223 HSC001_TEAD3_12day_R2 HSC001_TEAD3_12day
- GSM8257224 HSC001_TEAD3_12day_R3 HSC001_TEAD3_12day
- GSE256141 Single cell transcriptional landscape of liver transplant rejection reveals tissue persistence of clonally expanded, treatment-resistant T cells 90 samples shares transcription, liver
- GSE328457 Pooled combinatorial screening identifies transcription factor sets that drive hematopoietic progenitor-like cell fate 39 samples shares transcription, factor
- GSE335040 Evolutionary guided transcription factor design programs novel T cell states [RNAseq_Paired] 33 samples shares transcription, factor
- GSE310664 Analysis of experimental colorectal liver metastases identifies distinct proliferation independent transcriptional programs in micro- versus macrometastases 22 samples shares transcription, liver
- GSE237200 Endothelial transcription factor EB protects against doxorubicin-induced endothelial toxicity and cardiac dysfunction 20 samples shares transcription, factor
- GSE331144 Transcriptional and spatial profiling of fibroblasts from human lungs highlights CTHRC1+ cells as fibrogenic signaling hubs in fibrosis 9 samples shares transcription, fibrosis
- GSE196619 Synthetic transcription factor overrides persistent repressive chromatin marks 120 samples shares transcription, factor
- GSE302930 Epigenetic Atlas of Bladder Cancer Reveals Master Transcription Factors and Risk-Associated Regulatory Elements in Luminal and Basal-Squamous Molecular Subtypes 92 samples shares transcription, factor
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.