GEO series

Cardiac assembloids from human pluripotent stem cells model the atrioventricular conduction axis.

GSE250173 Homo sapiens (human) Single-cell RNA-seq 2 samples Submitted 2024/09/10 Platform GPL18573

At a glance

Single-cell RNA-seq · human · 2 samples

What it is: Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
Organism: Homo sapiens (human)
Samples: 2 samples
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)

In this study, we aimed to differentiate atrioventricular (AV) canal-like cardiomyocytes (AVCM) from hiPSCs to facilitate the study of disorders that affect the AV conduction axis. hiPSC-derived AVCM preferentially expressed AV canal-associated genes MSX2, TBX2 and TBX3. Single cell RNA sequencing and comparative analysis with mouse heart further validated their AV canal-like identity.

Read the full summary ↓

In addition, hiPSC-AVCM demonstrated sensitivity to ivabradine and carbachol, indicating the presence of key nodal currents If and IKACh. To model the AV conduction axis, we created an organoid-based tissue model. These so-called “assembloids” consisted of atrial, AVC, and ventricular organoids, which exhibited spontaneous contractions and unidirectional conduction with impulses initiated predominantly at the atrial end. Remarkably, we observed slower conduction in the AVC region of the assembloid, effectively recapitulating the “fast-slow-fast” conduction pattern found in the early heart tube. Our results demonstrate that hiPSC-derived AVCM recapitulate molecular and electrophysiological properties of in vivo AV canal cardiomyocytes and tissue models incorporating this cell type enhance our ability to evaluate complex cardiac conduction disorders.

This dataset

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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 GSE250173_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: 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 PRJNA1052596 and SRA study SRP477929. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗

Samples in this study

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+ 2 more — browse all 2 samples with per-sample file links →

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