H3K9 di-methylation dynamics underlies mouse minor zygotic genome activation [CATCH-seq of early embryo]
ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 23 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
- 23 samples: 9 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
- Dynamic regulation of H3K9 dimethylation drives mouse minor zygotic genome activationNature structural & molecular biology · 2026
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 GSE296991_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 PRJNA1262338 and SRA study SRP584852. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 18 samples.
How we read this: 9 replicated groups read from 23 sample titles; they account for 18 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.
- GSM8981253 E2C_Input_rep1 E2C_Input
- GSM8981254 E2C_Input_rep2 E2C_Input
- GSM8981255 E2C_H3K9me2_rep1 E2C_H3K9me2
- GSM8981256 E2C_H3K9me2_rep2 E2C_H3K9me2
- GSM8981257 Morula_Input_rep1 Morula_Input
- GSM8981258 Morula_Input_rep2 Morula_Input
- GSM8981259 Morula_H3K9me2_rep1 Morula_H3K9me2
- GSM8981260 Morula_H3K9me2_rep2 Morula_H3K9me2
- GSM9421202 E2C-Ctrl_Input_rep1 E2C-Ctrl_Input
- GSM9421203 E2C-Ctrl_Input_rep2 E2C-Ctrl_Input
- GSM9421204 E2C-Ctrl_H3K9me2_spike-in_rep1 E2C-Ctrl_H3K9me2_spike-…
- GSM9421205 E2C-Ctrl_H3K9me2_spike-in_rep2 E2C-Ctrl_H3K9me2_spike-…
- GSM9421206 E2C-DKO_Input_rep1 E2C-DKO_Input
- GSM9421207 E2C-DKO_Input_rep2 E2C-DKO_Input
- GSM9421208 E2C-DKO_H3K9me2_spike-in_rep1 E2C-DKO_H3K9me2_spike-in
- GSM9421209 E2C-DKO_H3K9me2_spike-in_rep2 E2C-DKO_H3K9me2_spike-in
- GSM9421210 FGO_Inp
- GSM9421211 FGO_H3K9me3_rep1 FGO_H3K9me3
- GSM9421212 FGO_H3K9me3_rep2 FGO_H3K9me3
- GSM9581370 mESC-500cells_Input
- GSM9581371 mESC-500cells_H3K9me2
- GSM9581372 mESC-2000cells_Input
- GSM9581373 mESC-2000cells_H3K9me2
- GSE297574 H3K9 di-methylation dynamics underlies mouse minor zygotic genome activation [spike-in ChIP-seq of mESC] 64 samples shares h3k9, di-methylation, activation, underlies, dynamics, zygotic
- GSE296994 H3K9 di-methylation dynamics underlies mouse minor zygotic genome activation 174 samples shares h3k9, di-methylation, activation, underlies, dynamics, zygotic
- GSE296993 H3K9 di-methylation dynamics underlies mouse minor zygotic genome activation [RNA-seq of mESC] 50 samples shares h3k9, di-methylation, activation, underlies, dynamics, zygotic
- GSE314859 The degradation of maternal RNA-binding protein 4E-T regulates translational activation to ensure maternal-to-zygotic transition in mouse embryos 67 samples shares activation, zygotic, embryo
- GSE292333 H2AK119ub1-MLL2 counteraction underlies heritable H3K27me3 formation in oocytes [CATCH-seq and CUT&RUN] 44 samples shares underlies, catch-seq
- GSE297541 Nascent transcript sequencing visualizes mouse preimplantation embryonic genome activation 61 samples shares activation, embryo
- GSE295196 m6A RNA methylation in the maintenance of X-chromosome inactivation and X to autosome dosage compensation in early embryogenesis [RNA-Seq] 14 samples shares activation, embryo
- GSE304113 Establishment of sex-specific liver transcriptomes and H3K9me3 profiles during sexual maturity: the impact of maternal obesity [ChIP-seq] 36 samples shares h3k9
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.