Oxidative Stress Converts Benign Lesions to Cancer via a Self-Amplifying NRF2-EZH2 Loop
ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 63 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
- 63 samples: 46 distinct titles, 14 of them repeatedGroups 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
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 GSE214191_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 PRJNA884323 and SRA study SRP399631. Searching any of these in the dataset finder brings you back here.
How we read this: Read from 63 sample titles: 46 distinct titles with little repetition. 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.
- GSM6600767 LA#7 (KC_CTR#2)
- GSM6600768 LA#8 (KC_CTR#3)
- GSM6600769 LA#9 (KC_EZH2KO#2)
- GSM6600770 LA#10 (KC_EZH2KO#3)
- GSM6600771 LA#11 (KPC_CTR#1)
- GSM6600772 LA#12 (KPC_CTR#2)
- GSM6600773 LA#13 (KPC_CTR#3)
- GSM6600774 LA#14 (KPC_EZH2KO#1)
- GSM6600775 LA#15 (KPC_EZH2KO#2)
- GSM6600776 Ctrl_rep1 (KC_CTR#1)
- GSM6600777 Ctrl_rep2 (KC_CTR#2)
- GSM6600778 Ezh2KO_rep1 (KC_EZH2KO#2)
- GSM6600779 Ezh2KO_rep2 (KC_EZH2KO#3)
- GSM6600780 EedKO_rep1 (KC_EEDKO#1)
- GSM6600781 EedKO_rep2 (KC_EEDKO#4)
- GSM6600782 01_CTR2
- GSM6600783 02_CTR3
- GSM6600784 03_CTR5
- GSM6600785 04_NRF6
- GSM6600786 05_NRF36
- GSM6600787 06_NRF8
- GSM6600788 07_NRF46
- GSM6600789 08_KRAS10
- GSM6600790 09_KRAS11
- GSM6600791 10_KRAS41
- GSM6600792 11_NFRKRAS12
- GSM6600793 12_NFRKRAS16
- GSM6600794 13_NFRKRAS48
- GSM6600813 Krascells_ATAC_Control_Clone1
- GSM6600814 Krascells_ATAC_Control_Clone2
- GSM6600815 Krascells_ATAC_EzhKO_Clone1
- GSM6600816 Krascells_ATAC_EzhKO_Clone2
- GSM6600817 Krascells_ChIP_H3K27ac_Control_Clone1
- GSM6600818 Krascells_ChIP_H3K27ac_Control_Clone2
- GSM6600819 Krascells_ChIP_H3K27ac_EzhKO_Clone1
- GSM6600820 Krascells_ChIP_H3K27ac_EzhKO_Clone2
- GSM6600821 Krascells_ChIP_H3K4me3_Control_Clone1
- GSM6600822 Krascells_ChIP_H3K4me3_Control_Clone2
- GSM6600823 Krascells_ChIP_H3K4me3_EzhKO_Clone1
- GSM6600824 Krascells_ChIP_H3K4me3_EzhKO_Clone2
+ 23 more — browse all 63 samples with per-sample file links →
- GSE214190 Oxidative Stress Converts Benign Lesions to Cancer via a Self-Amplifying NRF2-EZH2 Loop [ATACseq_ChIPseq_RNAseq] 35 samples shares nrf2-ezh2, self-amplifying, oxidative, converts, lesions, stress, benign, loop
- 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, benign, loop
- 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, benign, loop
- 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, benign, loop
- 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.