Histone methylation in Gpt2 KO and Gpt2 WT mouse brain tissues
ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 21 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
- 21 samples: 21 samples, each with a distinct title — no replicated groupsGroups 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.
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 GSE325503_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 PRJNA1440355 and SRA study SRP685388. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 21 sample titles: 21 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.
- GSM9605273 Gpt2 KO mice sample1 (Input)
- GSM9605274 Gpt2 KO mice sample2 (Input)
- GSM9605275 Gpt2 KO mice sample3 (Input)
- GSM9605276 Gpt2 WT mice sample1 (Input)
- GSM9605277 Gpt2 WT mice sample2 (Input)
- GSM9605278 Gpt2 WT mice sample3 (Input)
- GSM9605279 Gpt2 KO mice sample1 (H3K27me3 ChIP)
- GSM9605280 Gpt2 KO mice sample2 (H3K27me3 ChIP)
- GSM9605281 Gpt2 WT mice sample1 (H3K27me3 ChIP)
- GSM9605282 Gpt2 WT mice sample2 (H3K27me3 ChIP)
- GSM9605283 Gpt2 KO mice sample1 (H3K4me3 ChIP)
- GSM9605284 Gpt2 KO mice sample2 (H3K4me3 ChIP)
- GSM9605285 Gpt2 WT mice sample1 (H3K4me3 ChIP)
- GSM9605286 Gpt2 WT mice sample2 (H3K4me3 ChIP)
- GSM9605287 Gpt2 WT mice sample3 (H3K4me3 ChIP)
- GSM9605288 Gpt2 KO mice sample1 (H3K9me3 ChIP)
- GSM9605289 Gpt2 KO mice sample2 (H3K9me3 ChIP)
- GSM9605290 Gpt2 KO mice sample3 (H3K9me3 ChIP)
- GSM9605291 Gpt2 WT mice sample1 (H3K9me3 ChIP)
- GSM9605292 Gpt2 WT mice sample2 (H3K9me3 ChIP)
- GSM9605293 Gpt2 WT mice sample3 (H3K9me3 ChIP)
- GSE311724 Effects of loss of KAT6A on histone acetylation and methylation levels, as well as MLL1 and POLR2A occupancy 134 samples shares methylation, histone
- GSE341379 Distinct histone 3 lysine methylation states underlie tumor immune surveillance 50 samples shares methylation, histone
- GSE332794 Epigenomic profiling of H3K27ac in mouse brain regions under morphine and LPS exposure 206 samples shares brain
- GSE297574 H3K9 di-methylation dynamics underlies mouse minor zygotic genome activation [spike-in ChIP-seq of mESC] 64 samples shares methylation
- GSE296991 H3K9 di-methylation dynamics underlies mouse minor zygotic genome activation [CATCH-seq of early embryo] 23 samples shares methylation
- GSE283906 RXR-Mediated Remodeling of Transcriptional and Chromatin Landscapes in APP Mouse Brain: Insights from Integrated Single-Cell RNA and ATAC Profiling 10 samples shares brain
- GSE289108 Neurons undergo IFNγ-driven persistent epigenetic shifts and synaptic remodeling in the inflamed brain [ChIP-Seq] 57 samples shares brain
- GSE237390 Loss of Kmt2c or Kmt2d drives brain metastasis via KDM6A-dependent upregulation of MMP3 [ChIP-seq] 54 samples shares brain
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.