Single-cell multiomic integration identifies widespread, cell-type resolved fetal reactivation in the diseased human heart
Single-cell RNA-seq · human · 90 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
- Organism
- Homo sapiens (human)
- Samples
- 90 samples: 35 conditions, mostly in duplicateGroups 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
- An integrative single-nucleus multiomic atlas of the human left ventricle identifies gene regulatory network dynamics across cardiac development, aging, and diseaseGenome 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 GSE290367_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.
Also filed as BioProject PRJNA1227589 and SRA study SRP566068. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 82 samples.
How we read this: 35 replicated groups read from 90 sample titles; they account for 82 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.
- GSM8811384 Penn_F1 donor, female, gestational week 18, non-diseased, left ventricle, replicate 1 Penn_F1 donor, female, …
- GSM8811385 Penn_F1 donor, female, gestational week 18, non-diseased, left ventricle, replicate 2 Penn_F1 donor, female, …
- GSM8811386 Penn_F2 donor, male, gestational week 18, non-diseased, atria, replicate 1 Penn_F2 donor, male, ge…
- GSM8811387 Penn_F2 donor, male, gestational week 18, non-diseased, atria, replicate 2 Penn_F2 donor, male, ge…
- GSM8811388 Penn_F2 donor, male, gestational week 18, non-diseased, outflow tract (OFT), replicate 1 Penn_F2 donor, male, ge…
- GSM8811389 Penn_F2 donor, male, gestational week 18, non-diseased, outflow tract (OFT), replicate 2 Penn_F2 donor, male, ge…
- GSM8811390 Penn_F1 donor, female, gestational week 18, non-diseased, atria
- GSM8811391 Penn_F2 donor, male, gestational week 18, non-diseased, left and right ventricle, replicate 1 Penn_F2 donor, male, ge…
- GSM8811392 Penn_F2 donor, male, gestational week 18, non-diseased, left and right ventricle, non-diseased, replicate 2
- GSM8811393 Penn_F2 donor, male, gestational week 18, non-diseased, left and right ventricle, replicate 3 Penn_F2 donor, male, ge…
- GSM8811394 Penn_F2 donor, male, gestational week 18, non-diseased, left and right ventricle, replicate 4 Penn_F2 donor, male, ge…
- GSM8811395 Penn_F1 donor, female, gestational week 18, non-diseased, left ventricle, replicate 3 Penn_F1 donor, female, …
- GSM8811396 Penn_F1 donor, female, gestational week 18, non-diseased, left ventricle, replicate 4 Penn_F1 donor, female, …
- GSM8811397 Penn_F1 donor, female, gestational week 18, non-diseased, left ventricle, replicate 5 Penn_F1 donor, female, …
- GSM8811398 K1430 donor, male, age 62, DCM, left ventricle, replicate 1 K1430 donor, male, age …
- GSM8811399 K1430 donor, male, age 62, DCM, left ventricle, replicate 2
- GSM8811400 K1430 donor, male, age 62, DCM, left ventricle, replicate 3 K1430 donor, male, age …
- GSM8811401 K1430 donor, male, age 62, DCM, left ventricle, replicate 4 K1430 donor, male, age …
- GSM8811402 K1485 donor, male, age 78, non-diseased, left ventricle, replicate 1 K1485 donor, male, age …
- GSM8811403 K1485 donor, male, age 78, non-diseased, left ventricle, replicate 2 K1485 donor, male, age …
- GSM8811404 K1488 donor, male, age 81, non-diseased, left ventricle, replicate 1 K1488 donor, male, age …
- GSM8811405 K1488 donor, male, age 81, non-diseased, left ventricle, replicate 2 K1488 donor, male, age …
- GSM8811406 K1545 donor, male, age 44, non-diseased, left ventricle, replicate 1 K1545 donor, male, age …
- GSM8811407 K1545 donor, male, age 44, non-diseased, left ventricle, replicate 2 K1545 donor, male, age …
- GSM8811408 K1549 donor, male, age 49, non-diseased, left ventricle, replicate 1 K1549 donor, male, age …
- GSM8811409 K1549 donor, male, age 49, non-diseased, left ventricle, replicate 2 K1549 donor, male, age …
- GSM8811410 K1561 donor, male, age 73, non-diseased, left ventricle
- GSM8811411 K1570 donor, male, age 73, non-diseased, left ventricle, replicate 1 K1570 donor, male, age …
- GSM8811412 K1570 donor, male, age 73, non-diseased, left ventricle, replicate 2 K1570 donor, male, age …
- GSM8811413 K1584 donor, male, age 22, non-diseased, left ventricle, replicate 1 K1584 donor, male, age …
- GSM8811414 K1584 donor, male, age 22, non-diseased, left ventricle, replicate 2 K1584 donor, male, age …
- GSM8811415 K1584 donor, male, age 22, non-diseased, left ventricle, replicate 3 K1584 donor, male, age …
- GSM8811416 K1617 donor, male, age 64, DCM, left ventricle, non-sorted, replicate 1 K1617 donor, male, age …
- GSM8811417 K1617 donor, male, age 64, DCM, left ventricle, non-sorted, replicate 2 K1617 donor, male, age …
- GSM8811418 K1617 donor, male, age 64, DCM, left ventricle, replicate 3 K1617 donor, male, age …
- GSM8811419 K1617 donor, male, age 64, DCM, left ventricle, replicate 4 K1617 donor, male, age …
- GSM8811420 K1622 donor, male, age 56, non-diseased, left ventricle, replicate 1 K1622 donor, male, age …
- GSM8811421 K1622 donor, male, age 56, non-diseased, left ventricle, replicate 2 K1622 donor, male, age …
- GSM8811422 K1647 donor, male, age 34, non-diseased, left ventricle, replicate 1 K1647 donor, male, age …
- GSM8811423 K1647 donor, male, age 34, non-diseased, left ventricle, replicate 2 K1647 donor, male, age …
+ 50 more — browse all 90 samples with per-sample file links →
- GSE324206 Spatially-Resolved Multiomic Atlas of Leiomyosarcoma Identifies Two Clinically Relevant Epigenetically-Driven Cell States [scMultiomic] 32 samples shares identifies, multiomic, resolved
- GSE196198 Longitudinal single-cell multiomics data for different severity of COVID-19 100 samples shares single-cell, multiomic
- GSE305146 Single-Cell Multiomic Atlas of Human Cortical Development in Down Syndrome - Fetal Cortex Multiome Dataset 92 samples shares single-cell, multiomic
- GSE283621 Single-cell multi-omics analysis identifies metabolism-linked epigenetic reprogramming as a driver of therapy-resistant medulloblastoma 79 samples shares single-cell, identifies
- GSE176078 A single-cell and spatially resolved atlas of human breast cancers 26 samples shares single-cell, resolved
- GSE300595 Multiomic sequencing identifies myeloid cell associations with neoadjuvant chemotherapy treatment response in pancreatic adenocarcinoma (PDAC) 24 samples shares identifies, multiomic
- GSE292623 A longitudinal single-cell and spatial multiomic atlas of pediatric high-grade glioma 18 samples shares single-cell, multiomic
- GSE285246 Spatially resolved atlas of IPF fibroblastic foci identifies that PAK2 kinase activation is involved in fibrogenesis 12 samples shares identifies, resolved
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.