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Single-nucleus single-nucleus assay for transposase-accessible chromatin with sequencing analysis of in vitro cardiac differentiations

GSE245498 Homo sapiens (human) Single-nucleus RNA-seq 22 samples Submitted 2024/09/06 Platform GPL20795
At a glance

Single-nucleus RNA-seq · human · 22 samples

What it is
Single-nucleus RNA-seqGene activity measured in individual nuclei (used when whole cells are hard to isolate, for example from frozen tissue).
Organism
Homo sapiens (human)
Samples
22 samples: 11 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
Single-cell multi-modal integrative analyses highlight functional dynamic gene regulatory networks directing human cardiac developmentCell genomics · 2024
Summary (written by the submitters)
Here, we utilize single-cell gene regulatory analysis to interrogate the gene expression within CMs generated from monolayer (2D) and embryoid body (3D) hPSC cardiac differentiation systems.
Published in
Single-cell multi-modal integrative analyses highlight functional dynamic gene regulatory networks directing human cardiac development
Holman AR, Tran S, Destici E et al. · Cell genomics 2024 · PMID 39437788 · doi:10.1016/j.xgen.2024.100680
This dataset
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.

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 GSE245498_RAW.tar (it can run to tens of gigabytes).

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.

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 PRJNA1028608 and SRA study SRP466612. Searching any of these in the dataset finder brings you back here.

Study design
11 conditions, mostly in duplicate
D0, ×2 2D D2, ×2 2D D5, ×2 2D D7, ×2 2D D15, ×2 2D D25, ×2 3D D3, ×2 3D D5, ×2 +3 more

Supports a between-group comparison across 22 samples.

How we read this: 11 replicated groups read from 22 sample titles; they account for 22 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.

Samples in this study
Datasets on a similar topic

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