← BioTransfer GEO Dataset Finder
GEO series

Assessment of myogenic maturation for human iPSC-derived iPAX7 myogenic progenitors in vitro and in vivo

GSE244521 Homo sapiens (human) RNA-seq (gene expression) 14 samples Submitted 2024/04/02 Platform GPL25526Platform GPL24676Platform GPL24247
At a glance

RNA-seq (gene expression) · human · 14 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
14 samples: 5 conditions, mostly in triplicateGroups 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
The adult environment promotes the transcriptional maturation of human iPSC-derived muscle graftsNPJ Regenerative medicine · 2024
Summary (written by the submitters)
Here, we transplanted human iPAX7 myogenic progenitors into skeletal muscles of non-dystrophic and dystrophic mice and compared the transcriptional landscape of human donor-derived myofibers with respective in vitro-differentiated iPAX7 myotubes. Pairing bulk RNA sequencing with computational deconvolution of human reads, we were able to pinpoint key myogenic changes that occur during the in vitro-to-in vivo transition, confirm developmental maturity, and consequently further suggest the utility of cell-based therapies.
Published in
The adult environment promotes the transcriptional maturation of human iPSC-derived muscle grafts
Crist SB, Azzag K, Kiley J et al. · NPJ Regenerative medicine 2024 · PMID 38575647 · doi:10.1038/s41536-024-00360-4
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 GSE244521_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: 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 PRJNA1023472 and SRA study SRP464293. Searching any of these in the dataset finder brings you back here.

Study design
5 conditions, mostly in triplicate
NSG-mdx control ×3 NSG-mdx iPAX7 ×3 NSG control ×3 NSG iPAX7 ×3 iPAX7 in vitro ×2

Supports a between-group comparison across 14 samples.

How we read this: 5 replicated groups read from 14 sample titles; they account for 14 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

Search all 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.