RNA-seq and ChIP-seq analysis of H3K27ac, H3K27me3, H3K9me2, and JMJD1A in 3T3-L1 cells and ChIP-seq analysis of NFIC in imSVF cells.
ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 14 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
- 14 samples: 14 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.
- Paper
- Glucose-activated JMJD1A drives visceral adipogenesis via α-ketoglutarate-dependent chromatin remodelingCell reports · 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 GSE266317_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 PRJNA1106622 and SRA study SRP505074. 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 14 sample titles: 14 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.
- GSM8244807 L1_D0_RNA-seq
- GSM8244808 L1_D4_RNA-seq
- GSM8244809 L1_D8_RNA-seq
- GSM8244810 L1_si-Ctr_D8_RNA-seq
- GSM8244811 L1_si-Jmjd1a_D8_RNA-seq
- GSM8244812 L1_D0_H3K9me2
- GSM8244813 L1_D6_H3K9me2
- GSM8244814 L1_D0_H3K27me3
- GSM8244815 L1_D6_H3K27me3
- GSM8244816 L1_D0_H3K27ac
- GSM8244817 L1_D6_H3K27ac
- GSM8244818 L1_D0_JMJD1A
- GSM8244819 L1_D4_JMJD1A
- GSM8923892 imSVF_D0_NFIC
- GSE281043 The genome wide mapping of H3K4kme3, H3K27ac and H3K27me3 in Ctcf f/f and Ctcf Δ/Δ CALM-AF10 AML cells [ChiP-seq] 16 samples shares h3k27me3, h3k27ac, chip-seq
- GSE269147 RNA-seq analysis to examine the effect of Jmjd1a knockdown in 3T3-L1 pre-adipocyte cells 15 samples shares jmjd1a, 3t3-l1, rna-seq
- GSE281044 The genome wide mapping of H3K4kme3, H3K27ac and H3K27me3 in Ctcf f/f and Ctcf Δ/Δ CALM-AF10 AML cells [CTCF RNA-seq] 4 samples shares h3k27me3, h3k27ac, rna-seq
- GSE190102 Ageing-Related Changes to H3K4me3, H3K27ac and H3K27me3 in Purified Mouse Neurons 43 samples shares h3k27me3, h3k27ac
- GSE276779 YAP-Driven Malignant Reprogramming of Oral Epithelial Stem Cells, CUT&TAG sequencing for YAP, H3K27ac, and H3K27me3 32 samples shares h3k27me3, h3k27ac
- GSE222133 CUT&Tag analysis of H3K4me3, H3K27Ac,H2A119Ub and H3K27me3 in treated KPC1199 murine PDAC cell line 12 samples shares h3k27me3, h3k27ac
- GSE229903 CUT&Tag analysis of H3K4me3, H3K27Ac,H2A119Ub, H3K27me3 and H3K36me3 in KPC1199 murine PDAC cell line 10 samples shares h3k27me3, h3k27ac
- GSE262390 Setd2 overexpression rescues bivalent gene expression during SCNT-mediated ZGA by enhancing H3K36me3 at gene bodies and excluding H3K27me3 from promoters [ChIP-seq] 79 samples shares h3k27me3, chip-seq
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.