Active repression of cell fate plasticity by PROX1 safeguards hepatocyte identity and prevents liver tumorigenesis.
ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 104 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
- Mus musculus (mouse)
- Samples
- 104 samples: 23 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
- Active repression of cell fate plasticity by PROX1 safeguards hepatocyte identity and prevents liver tumorigenesisNature genetics · 2025
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 GSE224832_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 PRJNA932757 and SRA study SRP424215. Searching any of these in the dataset finder brings you back here.
Supports a case/control comparison: 4 samples read as cases, 8 as controls.
How we read this: 23 replicated groups read from 104 sample titles; they account for 63 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.
- GSM7033675 MEF day02 rep1 [ATAC-seq]
- GSM7033676 MEF day02 rep2 [ATAC-seq]
- GSM7033677 MEF day02 rep3 [ATAC-seq]
- GSM7033678 Prox1_OE day02 rep1 [ATAC-seq]
- GSM7033679 Prox1_OE day02 rep2 [ATAC-seq]
- GSM7033680 Prox1_OE day02 rep3 [ATAC-seq]
- GSM7033681 4in1_GFP_OE day02 rep1 [ATAC-seq]
- GSM7033682 4in1_GFP_OE day02 rep2 [ATAC-seq]
- GSM7033683 4in1_GFP_OE day02 rep3 [ATAC-seq]
- GSM7033684 4in1_Prox1_OE day02 rep1 [ATAC-seq]
- GSM7033685 4in1_Prox1_OE day02 rep2 [ATAC-seq]
- GSM7033686 4in1_Prox1_OE day02 rep3 [ATAC-seq]
- GSM7033705 MEF_Prox1(fl/fl) 4in1_creGFP_OE day14 rep1 MEF_Prox1(fl/fl) 4in1_c…
- GSM7033706 MEF_Prox1(fl/fl) 4in1_creGFP_OE day14 rep2 MEF_Prox1(fl/fl) 4in1_c…
- GSM7033707 MEF_Prox1(fl/fl) 4in1_dcreGFP_OE day14 rep1 MEF_Prox1(fl/fl) 4in1_d…
- GSM7033708 MEF_Prox1(fl/fl) 4in1_dcreGFP_OE day14 rep2 MEF_Prox1(fl/fl) 4in1_d…
- GSM7033709 MEF 4in1_GFP_OE day07 rep1 MEF 4in1_GFP_OE day07
- GSM7033710 MEF 4in1_GFP_OE day07 rep2 MEF 4in1_GFP_OE day07
- GSM7033711 MEF 4in1_Prox1_OE day07 rep1 MEF 4in1_Prox1_OE day07
- GSM7033712 MEF 4in1_Prox1_OE day07 rep2 MEF 4in1_Prox1_OE day07
- GSM7033713 MEF 4in1_ProxDBD_OE day07 rep1 MEF 4in1_ProxDBD_OE day…
- GSM7033714 MEF 4in1_ProxDBD_OE day07 rep2 MEF 4in1_ProxDBD_OE day…
- GSM7033715 MEF 4in1_VP64_OE day07 rep1 MEF 4in1_VP64_OE day07
- GSM7033716 MEF 4in1_VP64_OE day07 rep2 MEF 4in1_VP64_OE day07
- GSM7033717 MEF 4in1_EnR_OE day07 rep1 MEF 4in1_EnR_OE day07
- GSM7033718 MEF 4in1_EnR_OE day07 rep2 MEF 4in1_EnR_OE day07
- GSM7033719 Liver HCC tumour shProx1 endpoint rep1 Liver HCC tumour shProx…
- GSM7033720 Liver HCC tumour shProx1 endpoint rep2 Liver HCC tumour shProx…
- GSM7033721 Liver HCC tumour shRen endpoint rep1 Liver HCC tumour shRen …
- GSM7033722 Liver HCC tumour shRen endpoint rep2 Liver HCC tumour shRen …
- GSM7033723 MEF 4in1_GFP_OE day02 [scRNA-seq]
- GSM7033724 MEF 4in1_Prox1_OE day02 [scRNA-seq]
- GSM7033725 MEF 4in1_OE day02 barcodes [scRNA-seq]
- GSM7033726 MEF 4in1_GFP_OE day07 [scRNA-seq]
- GSM7033727 MEF 4in1_Prox1_OE day07 [scRNA-seq]
- GSM7033728 MEF 4in1_OE day07 barcodes [scRNA-seq]
- GSM7033729 MEF 4in1_GFP_OE day14 [scRNA-seq]
- GSM7033730 MEF 4in1_Prox1_OE day14 [scRNA-seq]
- GSM7033731 MEF 4in1_OE day14 barcodes [scRNA-seq]
- GSM7033732 MEF unreprogrammed day02 [scRNA-seq]
+ 64 more — browse all 104 samples with per-sample file links →
- GSE281717 GRHL2 derepression triggers pathophysiological hepatocyte to cholangiocyte trans-differentiation 35 samples shares repression, hepatocyte
- GSE63782 Transcriptional plasticity promotes primary and acquired resistance to BET bromodomain inhibition 103 samples shares plasticity
- GSE230265 The transcriptional co-repressor Runx1t1 is essential for N-Myc-driven neuroblastoma tumorigenesis 76 samples shares tumorigenesis
- GSE249981 Non-canonical PRC1.1 licenses transcriptional response to enable Treg plasticity in immune adaptation. 70 samples shares plasticity
- GSE232554 FOXA2/AP-1 drives prostate cancer lineage plasticity [RNA-seq] 61 samples shares plasticity
- GSE304029 BRD2 Bromodomain-Mediated Regulation of Cell State Plasticity Modulates Therapy Response in Glioblastoma 56 samples shares plasticity
- GSE267740 Targeting T cell plasticity by pooled single cell CRISPR-screening in preclinical models of kidney and gut inflammation 56 samples shares plasticity
- GSE239889 VHL loss reprograms the immune landscape to promote an inflammatory myeloid microenvironment in renal tumorigenesis 52 samples shares tumorigenesis
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.