Dissecting Non-Coding GWAS Loci with High-Resolution 3D Chromatin Interactions Reveals Causal Genes with Relevance to Heart Failure [Perturb-seq]
human · 7 samples
- Organism
- Homo sapiens (human)
- Samples
- 7 samples: 7 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.
- Paper
- Dissecting regulatory non-coding GWAS loci reveals fibroblast causal genes with pathophysiological relevance to heart failureNature communications · 2025
Read the full summary ↓
Direct links to NCBI, 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.
Whole study · RAW.tar
Everything the authors deposited as one archive (GSE281464_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.
Also filed as BioProject PRJNA1183893. 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 7 sample titles: 7 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.
- GSM8621173 IL6R (Perturb-seq)
- GSM8621174 GJA1 (Perturb-seq)
- GSM8621175 CXCL12 (Perturb-seq)
- GSM8621176 FURIN (Perturb-seq)
- GSM8621177 ACTA2 (Perturb-seq)
- GSM8621178 CAS9 (Perturb-seq)
- GSM8621179 NonTargeting_Control (Perturb-seq)
- GSE263804 Chromatin accessibility mapping for functional GWAS risk variants of neuropsychiatric and neurodegenerative disorders in hiPSC-derived neural cells 141 samples shares gwas, chromatin
- GSE293119 Integration of Alzheimer’s GWAS, 3D genomics, and single-cell CRISPRi non-coding screen implicates causal variants in a microglial enhancer regulating TSPAN14. [RNA-Seq] 18 samples shares gwas, non-coding
- GSE293846 Identification of known and novel long non-coding RNAs potentially responsible for the effects of BMD GWAS loci [hFOB RNA-seq] 18 samples shares gwas, non-coding
- GSE193413 Super-silencer perturbation by EZH2 and REST inhibition leads to large loss of chromatin interactions and reduction in cancer growth [Hi-C] 28 samples shares interactions, chromatin
- GSE311392 The NuRD chromatin remodeling complex regulates tRNA genes through direct interactions with RNA polymerase III [Nuclei run-on (nascent RNA) profiling] 6 samples shares interactions, chromatin
- GSE263641 CTCF depletion uncouples the role of enhancer-promoter interactions and higher-order chromatin hubs in gene regulation during cellular differentiation. 137 samples shares interactions, chromatin
- GSE303901 An unbiased survey of distal element-gene regulatory interactions with direct-capture targeted Perturb-seq 97 samples shares interactions, perturb-seq
- GSE211164 Central role of SUMOylation in the regulation of chromatin interactions and transcriptional outputs of androgen receptor in prostate cancer cells 64 samples shares interactions, 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.