Sex-specific KDM6A-HNF4A-CREBH network controls lipoprotein cholesterol metabolism and atherosclerosis via epigenetic reprograming of hepatocytes
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 138 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
- 138 samples: 36 conditions, mostly with about 4 replicates eachGroups 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
- Sex-specific KDM6A-HNF4A-CREBH network controls lipoprotein cholesterol metabolism and atherosclerosis via epigenetic reprograming of hepatocytesNature communications · 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 GSE287736_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 PRJNA1214364 and SRA study SRP559280. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 134 samples.
How we read this: 36 replicated groups read from 138 sample titles; they account for 134 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.
- GSM8750625 mice_flox_H3K4me1_rep1 mice_flox_H3K4me1
- GSM8750626 mice_flox_H3K4me1_rep2 mice_flox_H3K4me1
- GSM8750627 mice_flox_H3K4me1_rep3 mice_flox_H3K4me1
- GSM8750628 mice_flox_H3K4me2_rep1 mice_flox_H3K4me2
- GSM8750629 mice_flox_H3K4me2_rep2 mice_flox_H3K4me2
- GSM8750630 mice_flox_H3K4me2_rep3 mice_flox_H3K4me2
- GSM8750631 mice_flox_H3K27ac_rep1 mice_flox_H3K27ac
- GSM8750632 mice_flox_H3K27ac_rep2 mice_flox_H3K27ac
- GSM8750633 mice_flox_H3K27ac_rep3 mice_flox_H3K27ac
- GSM8750634 mice_flox_H3K27me3_rep1 mice_flox_H3K27me3
- GSM8750635 mice_flox_H3K27me3_rep2 mice_flox_H3K27me3
- GSM8750636 mice_flox_H3K27me3_rep3 mice_flox_H3K27me3
- GSM8750637 mice_LKO_H3K4me1_rep1 mice_LKO_H3K4me1
- GSM8750638 mice_LKO_H3K4me1_rep2 mice_LKO_H3K4me1
- GSM8750639 mice_LKO_H3K4me1_rep3 mice_LKO_H3K4me1
- GSM8750640 mice_LKO_H3K4me2_rep1 mice_LKO_H3K4me2
- GSM8750641 mice_LKO_H3K4me2_rep2 mice_LKO_H3K4me2
- GSM8750642 mice_LKO_H3K4me2_rep3 mice_LKO_H3K4me2
- GSM8750643 mice_LKO_H3K27ac_rep1 mice_LKO_H3K27ac
- GSM8750644 mice_LKO_H3K27ac_rep2 mice_LKO_H3K27ac
- GSM8750645 mice_LKO_H3K27ac_rep3 mice_LKO_H3K27ac
- GSM8750646 mice_LKO_H3K27me3_rep1 mice_LKO_H3K27me3
- GSM8750647 mice_LKO_H3K27me3_rep2 mice_LKO_H3K27me3
- GSM8750648 mice_LKO_H3K27me3_rep3 mice_LKO_H3K27me3
- GSM8750649 HROhep03_input
- GSM8750650 Mice_input
- GSM9279040 Huh1_input
- GSM9279041 PCSK9_mice_input
- GSM9457753 HROHep03_siLuc_CREBH_rep1 HROHep03_siLuc_CREBH
- GSM9457754 HROHep03_siLuc_CREBH_rep2 HROHep03_siLuc_CREBH
- GSM9457755 HROHep03_siLuc_CREBH_rep3 HROHep03_siLuc_CREBH
- GSM9457756 HROHep03_siKDM6A_CREBH_rep1 HROHep03_siKDM6A_CREBH
- GSM9457757 HROHep03_siKDM6A_CREBH_rep2 HROHep03_siKDM6A_CREBH
- GSM9457758 HROHep03_siKDM6A_CREBH_rep3 HROHep03_siKDM6A_CREBH
- GSM9460724 PCSK9_mice_WT_antiCREBH_rep1 PCSK9_mice_WT_antiCREBH
- GSM9460725 PCSK9_mice_WT_antiCREBH_rep2 PCSK9_mice_WT_antiCREBH
- GSM9460726 PCSK9_mice_WT_antiCREBH_rep3 PCSK9_mice_WT_antiCREBH
- GSM9460727 PCSK9_mice_WT_antiCREBH_rep4 PCSK9_mice_WT_antiCREBH
- GSM9460728 PCSK9_mice_LKO_antiCREBH_rep1 PCSK9_mice_LKO_antiCREBH
- GSM9460729 PCSK9_mice_LKO_antiCREBH_rep2 PCSK9_mice_LKO_antiCREBH
+ 98 more — browse all 138 samples with per-sample file links →
- GSE287688 Sex-specific KDM6A-HNF4A-CREBH network controls lipoprotein cholesterol metabolism and atherosclerosis via epigenetic reprograming of hepatocytes [RNA-seq] 68 samples shares kdm6a-hnf4a-crebh, atherosclerosis, sex-specific, reprograming, lipoprotein, cholesterol, hepatocytes, epigenetic
- GSE246318 Decoding the immune checkpoint signatures in human atherosclerosis: implications of type 2 diabetes and lipid-lowering intervention 49 samples shares atherosclerosis
- GSE326269 Hepatic HuR protects against atherosclerosis through bile acid production 38 samples shares atherosclerosis
- GSE309462 Endothelial BMP6 Drives Hemodynamic-Dependent VSMCs Calcification in Carotid Atherosclerosis 14 samples shares atherosclerosis
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.