← BioTransfer GEO Dataset Finder
GEO series

Cardiopedia-Ligand: a Ligand Stimulation Atlas for Cardiac Function and Transcriptional Response

GSE314310 Homo sapiens (human) RNA-seq (gene expression) 468 samples Submitted 2026/06/25 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 468 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Homo sapiens (human)
Samples
468 samples: 374 distinct titles, 26 of them repeatedGroups 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.
Summary (written by the submitters)
Large-scale perturbation atlases have transformed systems biology, yet no equivalent resource exists for the human heart, where contractile function and transcriptomic state must be measured together. Here, we establish Cardiopedia-Ligand, a comprehensive perturbation–function–transcriptome atlas generated by stimulating human cardiac organoids (hCOs) with 87 ligands targeting 98 cell-membrane receptors expressed in the human heart.
Read the full summary ↓
We developed an automated high-throughput pipeline enabling individualized contractility measurements and single-organoid mRNA-sequencing. We use this pipeline to define both recognized and previously unrecognized functional and transcriptional clusters, including inotropes, endothelin peptides, extracellular matrix regulators, and multiple inflammatory clusters. Clustering analysis, machine learning, and ‘fingerprinting’ of human heart failure biopsies revealed previously underappreciated similarities between ligands and an interferon-γ signaling signature driving heart failure with preserved ejection fraction (HFpEF). Together this comprehensive Cardiopedia-Ligand dataset provides a valuable and accessible resource to interrogate cardiac biology and human disease.
This dataset
Open GSE314310 in finder → Find more human RNA-seq datasets →
Download · which file do I need?

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.

1 · Just have a look

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.

Series matrix ↓
2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE314310_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
3 · Start from the raw reads

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.

Raw reads on ENA ↗

What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA1390700 and SRA study SRP656426. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
374 distinct titles, 26 of them repeated
CTRL-WM_P01_A ×2 CTRL-WM_P01_B ×2 CTRL-DMSO_P01_C ×2 CTRL-Ethanol_P01_E ×2 CTRL-Ethanol_P01_F ×2 CTRL-WM_P03_A ×2 CTRL-WM_P03_B ×2 CTRL-DMSO_P03_C ×2 +18 more

How we read this: Read from the first 400 of 468 sample titles: 374 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.

Samples in this study

+ 428 more — browse all 468 samples with per-sample file links →

Datasets on a similar topic

Search all human RNA-seq 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.