The remodeling of bivalent chromatin is essential for mouse peri-implantation embryogenesis.
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 421 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
- Homo sapiens (human)
- Samples
- 421 samples: 143 conditions, mostly in triplicateGroups 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
- Remodelling bivalent chromatin is essential for mouse peri-implantation embryogenesisNature cell 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 GSE274495_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 PRJNA1146730 and SRA study SRP525583. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 367 samples.
How we read this: 143 replicated groups read from the first 400 of 421 sample titles; they account for 367 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.
- GSM8450063 WT_RNA-Epi-4.5-1 WT_RNA-Epi-4.5
- GSM8450064 WT_RNA-Epi-4.5-2 WT_RNA-Epi-4.5
- GSM8450065 WT_RNA-Epi-4.5-3 WT_RNA-Epi-4.5
- GSM8450066 WT_RNA-Epi-4.75-1 WT_RNA-Epi-4.75
- GSM8450067 WT_RNA-Epi-4.75-2 WT_RNA-Epi-4.75
- GSM8450068 WT_RNA-Epi-4.75-3 WT_RNA-Epi-4.75
- GSM8450069 WT_RNA-Epi-5.0_invivo-1 WT_RNA-Epi-5.0_invivo
- GSM8450070 WT_RNA-Epi-5.0_invivo-2 WT_RNA-Epi-5.0_invivo
- GSM8450071 WT_RNA-Epi-5.0_invivo-3 WT_RNA-Epi-5.0_invivo
- GSM8450072 WT_RNA-Epi-5.0-1 WT_RNA-Epi-5.0
- GSM8450073 WT_RNA-Epi-5.0-2 WT_RNA-Epi-5.0
- GSM8450074 WT_RNA-Epi-5.0-3 WT_RNA-Epi-5.0
- GSM8450075 WT_RNA-Epi-5.25_invivo-1 WT_RNA-Epi-5.25_invivo
- GSM8450076 WT_RNA-Epi-5.25_invivo-2 WT_RNA-Epi-5.25_invivo
- GSM8450077 WT_RNA-Epi-5.25_invivo-3 WT_RNA-Epi-5.25_invivo
- GSM8450078 WT_RNA-Epi-5.25-1 WT_RNA-Epi-5.25
- GSM8450079 WT_RNA-Epi-5.25-2 WT_RNA-Epi-5.25
- GSM8450080 WT_RNA-Epi-5.25-3 WT_RNA-Epi-5.25
- GSM8450081 WT_RNA-Epi-5.5_invitro-1 WT_RNA-Epi-5.5_invitro
- GSM8450082 WT_RNA-Epi-5.5_invitro-2 WT_RNA-Epi-5.5_invitro
- GSM8450083 WT_RNA-Epi-5.5_invitro-3 WT_RNA-Epi-5.5_invitro
- GSM8450084 WT_RNA-Epi-5.5_invivo-1 WT_RNA-Epi-5.5_invivo
- GSM8450085 WT_RNA-Epi-5.5_invivo-2 WT_RNA-Epi-5.5_invivo
- GSM8450086 WT_RNA-ExE-4.75-1 WT_RNA-ExE-4.75
- GSM8450087 WT_RNA-ExE-4.75-2 WT_RNA-ExE-4.75
- GSM8450088 WT_RNA-ExE-4.75-3 WT_RNA-ExE-4.75
- GSM8450089 WT_RNA-ExE-5.5_invitro-1 WT_RNA-ExE-5.5_invitro
- GSM8450090 WT_RNA-ExE-5.5_invitro-2 WT_RNA-ExE-5.5_invitro
- GSM8450091 WT_RNA-ExE-5.5_invitro-3 WT_RNA-ExE-5.5_invitro
- GSM8450092 WT_RNA-ExE-5.5_invivo-1 WT_RNA-ExE-5.5_invivo
- GSM8450093 WT_RNA-ExE-5.5_invivo-2 WT_RNA-ExE-5.5_invivo
- GSM8450094 WT_RNA-ICM-3.5-1 WT_RNA-ICM-3.5
- GSM8450095 WT_RNA-ICM-3.5-2 WT_RNA-ICM-3.5
- GSM8450096 WT_RNA-ICM-3.5-3 WT_RNA-ICM-3.5
- GSM8450097 WT_RNA-PrE-4.5-1 WT_RNA-PrE-4.5
- GSM8450098 WT_RNA-PrE-4.5-2 WT_RNA-PrE-4.5
- GSM8450099 WT_RNA-PrE-4.5-3 WT_RNA-PrE-4.5
- GSM8450100 WT_RNA-PrE-4.75-1 WT_RNA-PrE-4.75
- GSM8450101 WT_RNA-PrE-4.75-2 WT_RNA-PrE-4.75
- GSM8450102 WT_RNA-PrE-4.75-3 WT_RNA-PrE-4.75
+ 381 more — browse all 421 samples with per-sample file links →
- GSE290682 Nuclear class 3 PI3K co-activates fasting-specific chromatin remodeling 63 samples shares remodeling, chromatin
- GSE221699 Chromatin Remodeling Drives Immune-Fibroblast Cell Communication in Heart Failure 57 samples shares remodeling, chromatin
- GSE278946 cPRC1.2 and CTCF-Mediated Transition from Poised to Active Chromatin Loops Drives Bivalent Gene Activation 43 samples shares chromatin, bivalent
- GSE298544 Persistent dopamine-dependent remodeling of the neural transcriptome in response to pregnancy and postpartum 397 samples shares remodeling
- GSE229029 Deciphering lineage specification during early embryogenesis in mouse gastruloids using integrative multi-layered proteomics 44 samples shares embryogenesis
- GSE312574 Unbalanced chromatin binding of Polycomb complexes drives neurodevelopmental disorders 179 samples shares chromatin
- GSE336954 Central amygdala single-nucleus atlas reveals chromatin and gene transcription dynamics in human alcohol use disorder 126 samples shares chromatin
- GSE295715 Leukemia-mutated proteins PHF6 and PHIP form a chromatin complex that represses acute myeloid leukemia stemness 90 samples shares chromatin
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.