Oxidative Stress Converts Benign Lesions to Cancer via a Self-Amplifying NRF2-EZH2 Loop [ATACseq_ChIPseq_RNAseq]
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: 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
- Self-amplifying NRF2-EZH2 epigenetic loop converts KRAS-initiated progenitors to invasive pancreatic cancerNature cancer · 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 GSE214190_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 PRJNA884338 and SRA study SRP399634. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 31 samples.
How we read this: 14 replicated groups read from 35 sample titles; they account for 31 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.
- GSM6600813 Krascells_ATAC_Control_Clone1 Krascells_ATAC_Control_…
- GSM6600814 Krascells_ATAC_Control_Clone2 Krascells_ATAC_Control_…
- GSM6600815 Krascells_ATAC_EzhKO_Clone1 Krascells_ATAC_EzhKO_Cl…
- GSM6600816 Krascells_ATAC_EzhKO_Clone2 Krascells_ATAC_EzhKO_Cl…
- GSM6600817 Krascells_ChIP_H3K27ac_Control_Clone1 Krascells_ChIP_H3K27ac_…
- GSM6600818 Krascells_ChIP_H3K27ac_Control_Clone2 Krascells_ChIP_H3K27ac_…
- GSM6600819 Krascells_ChIP_H3K27ac_EzhKO_Clone1 Krascells_ChIP_H3K27ac_…
- GSM6600820 Krascells_ChIP_H3K27ac_EzhKO_Clone2 Krascells_ChIP_H3K27ac_…
- GSM6600821 Krascells_ChIP_H3K4me3_Control_Clone1 Krascells_ChIP_H3K4me3_…
- GSM6600822 Krascells_ChIP_H3K4me3_Control_Clone2 Krascells_ChIP_H3K4me3_…
- GSM6600823 Krascells_ChIP_H3K4me3_EzhKO_Clone1 Krascells_ChIP_H3K4me3_…
- GSM6600824 Krascells_ChIP_H3K4me3_EzhKO_Clone2 Krascells_ChIP_H3K4me3_…
- GSM6600825 Krascells_ChIP_input_Control_Clone1
- GSM6600826 Krascells_ChIP_input_Control_Clone1 b
- GSM6600827 Krascells_ChIP_input_EzhKO_Clone2
- GSM6600828 Krascells_ChIP_input_EzhKO_Clone2 b
- GSM6600829 WT3dControl_P4 WT3dControl_P
- GSM6600830 WT3dControl_P6 WT3dControl_P
- GSM6600831 KRas3dControl_P2 KRas3dControl_P
- GSM6600832 KRas3dControl_P5 KRas3dControl_P
- GSM6600833 KRas3dControl_P13 KRas3dControl_P
- GSM6600834 WT7dControl_P7 WT7dControl_P
- GSM6600835 WT7dControl_P14 WT7dControl_P
- GSM6600836 KRas7dControl_P15 KRas7dControl_P
- GSM6600837 KRas7dControl_P16 KRas7dControl_P
- GSM6600838 WT3dCeru_P1 WT3dCeru_P
- GSM6600839 WT3dCeru_P3 WT3dCeru_P
- GSM6600840 KRas3dCeru_P11 KRas3dCeru_P
- GSM6600841 KRas3dCeru_P12 KRas3dCeru_P
- GSM6600842 WT7dCeru_P8 WT7dCeru_P
- GSM6600843 WT7dCeru_P9 WT7dCeru_P
- GSM6600844 WT7dCeru_P10 WT7dCeru_P
- GSM6600845 WT7dCeru_P19 WT7dCeru_P
- GSM6600846 KRas7dCeru_P17 KRas7dCeru_P
- GSM6600847 KRas7dCeru_P18 KRas7dCeru_P
- GSE214191 Oxidative Stress Converts Benign Lesions to Cancer via a Self-Amplifying NRF2-EZH2 Loop 63 samples shares nrf2-ezh2, self-amplifying, oxidative, converts, lesions, stress
- GSE214188 Oxidative Stress Converts Benign Lesions to Cancer via a Self-Amplifying NRF2-EZH2 Loop [Quantseq_Nrf2Kras] 13 samples shares nrf2-ezh2, self-amplifying, oxidative, converts, lesions, stress
- GSE214186 Oxidative Stress Converts Benign Lesions to Cancer via a Self-Amplifying NRF2-EZH2 Loop [Quantseq_KC_KPC] 9 samples shares nrf2-ezh2, self-amplifying, oxidative, converts, lesions, stress
- GSE214187 Oxidative Stress Converts Benign Lesions to Cancer via a Self-Amplifying NRF2-EZH2 Loop [RNAseq_KC_EZH2KO_EEDKO] 6 samples shares nrf2-ezh2, self-amplifying, oxidative, converts, lesions, stress
- GSE299269 Haptoglobin and Hemopexin Redirect Heme-Driven Oxidative Stress and Neurotoxicity in Organotypic Brain Slices 188 samples shares oxidative, stress
- GSE293841 Rps15 mutation drives B cell malignancy through translational rewiring, oxidative stress and genomic instability 51 samples shares oxidative, stress
- GSE266396 Cx43-mediated mitochondrial transfer from MSCs mitigate oxidative stress-inflammation interplay in IRI-AKI via PGC1a activation 40 samples shares oxidative, stress
- GSE240372 USP8 coordinates ESCRT-mediated membrane repair, xenophagy, and oxidative stress responses during Mycobacterium tuberculosis infection 40 samples shares oxidative, stress
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.