← BioTransfer GEO Dataset Finder
GEO series

Single-cell multiomic integration identifies widespread, cell-type resolved fetal reactivation in the diseased human heart

GSE290367 Homo sapiens Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing 90 samples Submitted 2026/03/15 Platform GPL21697
Summary
Background: As the first organ to develop in utero, the human heart undergoes extensive molecular, structural and metabolic remodeling during development and must sustain its function throughout life. Results: We generate an integrated multiomic atlas of human cardiac cells, combining newly generated and publicly available single-nucleus RNA sequencing datasets from 299 donors and single nucleus ATAC-seq datasets from 106 donors. Developmental and disease-associated processes drive far more extensive molecular remodeling than sex-associated or aging-dependent effects. Across nearly all cardiac cell types, developmental and disease-driven changes exhibit strong overlap at both the transcriptomic and epigenomic levels, revealing widespread reactivation of fetal-associated gene programs beyond cardiomyocytes. Both cardiac development and disease show convergent shifts in intercellular communication, including increased TGFβ signaling. Integration of gene expression and chromatin accessibility data reveals putative cell-type–specific transcriptional factors driving fetal reactivation in major cardiac diseases. Spatial transcriptomics data orthogonally identifies localization of this fetal reactivation signature within spatially distinct niches in ischemic and fibrotic zones of acute myocardial infarction. Finally, we construct a cell-type–resolved enhancer-to-gene linkage map that refines the association of dilated and hypertrophic cardiomyopathy genetic risk loci to downstream target genes. Conclusions: This study presents a comprehensive multimodal, cell-type–resolved atlas of the human heart, providing a foundation for understanding human cardiac gene regulation across the human lifespan and in cardiac diseases.
Published in
An integrative single-nucleus multiomic atlas of the human left ventricle identifies gene regulatory network dynamics across cardiac development, aging, and disease
Gao W, Hu P, Wick B et al. · Genome biology 2026 · PMID 41937210 · doi:10.1186/s13059-026-04061-7
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE290367_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 90 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1227589 and SRA study SRP566068. Searching any of these in the dataset finder brings you back here.

Study design
15 conditions, mostly in duplicate
Penn_F1 donor, female, gestational week 18, n… ×5 Penn_F2 donor, male, gestational week 18, non… ×3 K1430 donor, male, age 62, DCM, left ventricl… ×3 K1584 donor, male, age 22, non-diseased, left… ×3 Penn_F2 donor, male, gestational week 18, non… ×2 Penn_F2 donor, male, gestational week 18, non… ×2 K1485 donor, male, age 78, non-diseased, left… ×2 K1488 donor, male, age 81, non-diseased, left… ×2 +11 more

Supports a between-group comparison across 36 samples.

15 replicated groups read from the first 40 of 90 sample titles; they account for 36 of them. Check it against the sample list below before relying on it.

Samples in this study

+ 50 more — browse all 90 samples with per-sample file links →

Similar datasets

Search all human ChIP / ATAC / CUT&Tag datasets in GEO →

Share this dataset

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.