The transcription factor ZNF469 regulates collagen production in liver fibrosis [RNA-Seq]
RNA-seq (gene expression) · human · 28 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
- 28 samples: 14 conditions, mostly in duplicateGroups 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 GSE287614_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 PRJNA1213817 and SRA study SRP558799. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 28 samples.
How we read this: 14 replicated groups read from 28 sample titles; they account for 28 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.
- GSM8748885 HSC001_UNTREATED+COLCOAT_4day_R1_1 HSC001_UNTREATED+COLCOA…
- GSM8748886 HSC001_UNTREATED+COLCOAT_4day_R2_1 HSC001_UNTREATED+COLCOA…
- GSM8748887 HSC001_UNTREATED+COLCOAT_4day_R3_1 HSC001_UNTREATED+COLCOA…
- GSM8748888 HSC001_TGFB1+COLCOAT_4day_R1_1 HSC001_TGFB1+COLCOAT_4d…
- GSM8748889 HSC001_TGFB1+COLCOAT_4day_R2_1 HSC001_TGFB1+COLCOAT_4d…
- GSM8748890 HSC001_TGFB1+COLCOAT_4day_R3_1 HSC001_TGFB1+COLCOAT_4d…
- GSM8748891 HSC001_UNTREATED+NOCOAT_7day_R1_1 HSC001_UNTREATED+NOCOAT…
- GSM8748892 HSC001_UNTREATED+NOCOAT_7day_R2_1 HSC001_UNTREATED+NOCOAT…
- GSM8748893 HSC001_UNTREATED+NOCOAT_7day_R3_1 HSC001_UNTREATED+NOCOAT…
- GSM8748894 HSC001_TGFB1+NOCOAT_7day_R1_1 HSC001_TGFB1+NOCOAT_7da…
- GSM8748895 HSC001_TGFB1+NOCOAT_7day_R2_1 HSC001_TGFB1+NOCOAT_7da…
- GSM8748896 HSC001_TGFB1+NOCOAT_7day_R3_1 HSC001_TGFB1+NOCOAT_7da…
- GSM8748897 HSC001_UNTREATED+COLCOAT_4day_R4_1 HSC001_UNTREATED+COLCOA…
- GSM8748898 HSC001_TGFB1+COLCOAT_4day_R4_1 HSC001_TGFB1+COLCOAT_4d…
- GSM8748899 HSC001_UNTREATED+COLCOAT_4day_R1_2 HSC001_UNTREATED+COLCOA…
- GSM8748900 HSC001_UNTREATED+COLCOAT_4day_R2_2 HSC001_UNTREATED+COLCOA…
- GSM8748901 HSC001_UNTREATED+COLCOAT_4day_R3_2 HSC001_UNTREATED+COLCOA…
- GSM8748902 HSC001_TGFB1+COLCOAT_4day_R1_2 HSC001_TGFB1+COLCOAT_4d…
- GSM8748903 HSC001_TGFB1+COLCOAT_4day_R2_2 HSC001_TGFB1+COLCOAT_4d…
- GSM8748904 HSC001_TGFB1+COLCOAT_4day_R3_2 HSC001_TGFB1+COLCOAT_4d…
- GSM8748905 HSC001_UNTREATED+NOCOAT_7day_R1_2 HSC001_UNTREATED+NOCOAT…
- GSM8748906 HSC001_UNTREATED+NOCOAT_7day_R2_2 HSC001_UNTREATED+NOCOAT…
- GSM8748907 HSC001_UNTREATED+NOCOAT_7day_R3_2 HSC001_UNTREATED+NOCOAT…
- GSM8748908 HSC001_TGFB1+NOCOAT_7day_R1_2 HSC001_TGFB1+NOCOAT_7da…
- GSM8748909 HSC001_TGFB1+NOCOAT_7day_R2_2 HSC001_TGFB1+NOCOAT_7da…
- GSM8748910 HSC001_TGFB1+NOCOAT_7day_R3_2 HSC001_TGFB1+NOCOAT_7da…
- GSM8748911 HSC001_UNTREATED+COLCOAT_4day_R4_2 HSC001_UNTREATED+COLCOA…
- GSM8748912 HSC001_TGFB1+COLCOAT_4day_R4_2 HSC001_TGFB1+COLCOAT_4d…
- GSE256141 Single cell transcriptional landscape of liver transplant rejection reveals tissue persistence of clonally expanded, treatment-resistant T cells 90 samples shares transcription, liver
- GSE269826 Conserved patterns of transcriptional dysregulation, heterogeneity and cell states in clear cell kidney cancer [scRNA-seq] 79 samples shares transcription, rna-seq
- 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
- GSE189357 Spatiotemporal transcriptional atlas of lung adenocarcinoma from adenocarcinoma in situ to invasive carcinoma [scRNA-seq] 9 samples shares transcription, rna-seq
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.