GRHL2 derepression triggers pathophysiological hepatocyte to cholangiocyte trans-differentiation
ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 35 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
- 35 samples: 8 conditions, mostly with about 4 replicates eachGroups 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
- Derepression of the epithelial transcription factor GRHL2 promotes direct hepatocyte-to-cholangiocyte transdifferentiationPLoS biology · 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 GSE281717_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 PRJNA1185272 and SRA study SRP544151. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 32 samples.
How we read this: 8 replicated groups read from 35 sample titles; they account for 32 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.
- GSM8619497 HepG2, pcDNA3, Flag, rep1 HepG2, pcDNA3, Flag,
- GSM8619498 HepG2, pcDNA3, Flag, rep2 HepG2, pcDNA3, Flag,
- GSM8619499 HepG2, pcDNA3, Flag, rep3 HepG2, pcDNA3, Flag,
- GSM8619500 HepG2, pcDNA3, Flag, rep4 HepG2, pcDNA3, Flag,
- GSM8619501 HepG2, pGRHL2, Flag, rep1 HepG2, pGRHL2, Flag,
- GSM8619502 HepG2, pGRHL2, Flag, rep2 HepG2, pGRHL2, Flag,
- GSM8619503 HepG2, pGRHL2, Flag, rep3 HepG2, pGRHL2, Flag,
- GSM8619504 HepG2, pGRHL2, Flag, rep4 HepG2, pGRHL2, Flag,
- GSM8626556 HepG2, Input
- GSM8626557 HepG2, H3K27m3
- GSM8626558 HepG2, H3K27ac
- GSM8626559 BMEL_pcDNA_n1 BMEL_pcDNA_n
- GSM8626560 BMEL_pIGrhl2_n1 BMEL_pIGrhl2_n
- GSM8626561 BMEL_pcDNA_n2 BMEL_pcDNA_n
- GSM8626562 BMEL_pIGrhl2_n2 BMEL_pIGrhl2_n
- GSM8626563 BMEL_pcDNA_n3 BMEL_pcDNA_n
- GSM8626564 BMEL_pIGrhl2_n3 BMEL_pIGrhl2_n
- GSM8626565 BMEL_pcDNA_n4 BMEL_pcDNA_n
- GSM8626566 BMEL_pIGrhl2_n4 BMEL_pIGrhl2_n
- GSM8626573 HepG2_vehicle_n1 HepG2_vehicle_n
- GSM8626574 HepG2_DI_n1 HepG2_DI_n
- GSM8626575 HepG2_vehicle_n2 HepG2_vehicle_n
- GSM8626576 HepG2_DI_n2 HepG2_DI_n
- GSM8626577 HepG2_vehicle_n3 HepG2_vehicle_n
- GSM8626578 HepG2_DI_n3 HepG2_DI_n
- GSM8626579 HepG2_vehicle_n4 HepG2_vehicle_n
- GSM8626580 HepG2_DI_n4 HepG2_DI_n
- GSM8626581 HepG2, pcDNA3, rep1 HepG2, pcDNA3,
- GSM8626582 HepG2, pGRHL2, rep1 HepG2, pGRHL2,
- GSM8626583 HepG2, pcDNA3, rep2 HepG2, pcDNA3,
- GSM8626584 HepG2, pGRHL2, rep2 HepG2, pGRHL2,
- GSM8626585 HepG2, pcDNA3, rep3 HepG2, pcDNA3,
- GSM8626586 HepG2, pGRHL2, rep3 HepG2, pGRHL2,
- GSM8626587 HepG2, pcDNA3, rep4 HepG2, pcDNA3,
- GSM8626588 HepG2, pGRHL2, rep4 HepG2, pGRHL2,
No close match found for this topic, so these are simply the most-viewed datasets of the same kind.
- GSE285990 Chemotherapy triggers immune evasion by fostering LEPR+ Kupffer cell differentiation in liver metastases [RNA-seq] 23 samples
- GSE260997 Mutant IDH inhibitors induce lineage differentiation in IDH-mutant Oligodendroglioma III 2458 samples
- GSE316054 Targeting the ADAR1 p150 isoform triggers tumor growth inhibition and antitumor immunity to overcome immunotherapy resistance 52 samples
- GSE202126 Single-cell Total-RNA Profiling Unveils Regulatory Hubs of Transcription Factors 1089 samples
- GSE307112 Mapping the Dialogue: Decoding Alveolar Stem-Niche Interactions [I] 886 samples
- GSE325735 Transcriptomic reprogramming screen identifies SRSF1 as a regulator of aging 839 samples
- GSE327497 Localized PD-1 CAR T therapy reprograms neuroinflammation. 390 samples
- GSE289991 Persistent dopamine-dependent remodeling of the neural transcriptome in response to pregnancy and postpartum [bulk RNA-seq] 294 samples
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.