Identification of target genes and regulatory networks for bone mineral density GWAS loci through systematic targeting and inhibition [hFOB ATAC-seq]
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 16 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
- 16 samples: 4 × hFOB cells, Day 0, vs 4 × hFOB cells, Day 2, vs 4 × hFOB cells, Day 4, vs 4 × hFOB cells, Day 10,Groups 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
- Identification of target genes and regulatory networks for bone mineral density GWAS loci through systematic targeting and inhibitionbioRxiv : the preprint server for 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 GSE318537_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 PRJNA1419191 and SRA study SRP674895. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 16 samples.
How we read this: 4 replicated groups read from 16 sample titles; they account for 16 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.
- GSM9497271 hFOB cells, Day 0, replicate 1 hFOB cells, Day 0,
- GSM9497272 hFOB cells, Day 0, replicate 2 hFOB cells, Day 0,
- GSM9497273 hFOB cells, Day 0, replicate 3 hFOB cells, Day 0,
- GSM9497274 hFOB cells, Day 0, replicate 4 hFOB cells, Day 0,
- GSM9497275 hFOB cells, Day 2, replicate 1 hFOB cells, Day 2,
- GSM9497276 hFOB cells, Day 2, replicate 2 hFOB cells, Day 2,
- GSM9497277 hFOB cells, Day 2, replicate 3 hFOB cells, Day 2,
- GSM9497278 hFOB cells, Day 2, replicate 4 hFOB cells, Day 2,
- GSM9497279 hFOB cells, Day 4, replicate 1 hFOB cells, Day 4,
- GSM9497280 hFOB cells, Day 4, replicate 2 hFOB cells, Day 4,
- GSM9497281 hFOB cells, Day 4, replicate 3 hFOB cells, Day 4,
- GSM9497282 hFOB cells, Day 4, replicate 4 hFOB cells, Day 4,
- GSM9497283 hFOB cells, Day 10, replicate 1 hFOB cells, Day 10,
- GSM9497284 hFOB cells, Day 10, replicate 2 hFOB cells, Day 10,
- GSM9497285 hFOB cells, Day 10, replicate 3 hFOB cells, Day 10,
- GSM9497286 hFOB cells, Day 10, replicate 4 hFOB cells, Day 10,
- GSE319266 Identification of target genes and regulatory networks for bone mineral density GWAS loci through systematic targeting and inhibition [hFOB BMD STING-seq] 24 samples shares gwas, regulatory, systematic, inhibition, targeting, networks, mineral
- GSE280280 Reprogramming of Cellular Plasticity via ETS and MYC Core-regulatory circuits During Response to MAPK Inhibition in BRAF-mutant colorectal cancer 36 samples shares regulatory, inhibition
- GSE299850 KOLF2.1J iTF-Microglia: A standardized platform to study microglial transcriptional regulatory networks in CNS disease 36 samples shares regulatory, networks
- GSE303446 Beyond CD30 Targeting: Brentuximab Vedotin Triggers Immunogenic Cell Death and Antitumor Immunity in Mycosis Fungoides, Overcoming Resistance via BCL2 Inhibition 13 samples shares inhibition, targeting
- GSE299831 KOLF2.1J iTF-Microglia: A standardized platform to study microglial transcriptional regulatory networks in CNS disease [RNA-seq] 12 samples shares regulatory, networks
- GSE301119 Integrative analysis of pooled CRISPR screens provide functional insights into AD GWAS risk genes 28 samples shares gwas
- GSE281464 Dissecting Non-Coding GWAS Loci with High-Resolution 3D Chromatin Interactions Reveals Causal Genes with Relevance to Heart Failure [Perturb-seq] 7 samples shares gwas
- GSE319092 Integrated Multi-Omics and Interactome Analysis of CDK8 Inhibition Reveals Erythroid Differentiation Programs and BET Synergy in AML Stem-like Cells 135 samples shares inhibition
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.