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Aspiration-assisted intra-operative 3D bioprinting of scaffold-free modular units for skeletal muscle tissue regeneration

GSE292577 Homo sapiens (human) RNA-seq (gene expression) 39 samples Submitted 2025/05/31 Platform GPL24676Platform GPL24247
At a glance

RNA-seq (gene expression) · human · 39 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
39 samples: 39 samples, each with a distinct title — no replicated groupsGroups 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)
Traumatic muscle injury associated with volumetric muscle loss results in reversible muscle regeneration and function. Bottlenecks to conventional tissue engineering strategies to augment muscle regeneration are limited by low cell transplantation capacity by conventional injection of dissociated cells, the lack of customization of engineered tissues based on muscle defect geometry, as well as the feasibility of intra-operative use.
Read the full summary ↓
Here, we developed a facile approach to engineer modular units of scaffold-free high-density muscle tissues in customizable geometric shapes and sizes with integration potential. For the first time, we describe aspiration-assisted intra-operative bioprinting of scaffold-free modular units for preclinical treatment of volumetric muscle loss. We demonstrated the ability of 3D modular muscle units to be bioprinted to the site of the muscle defect, leading to improved muscle, vascular, and neuromuscular regeneration in a mouse model of volumetric muscle loss. Transcriptional profiling revealed that the scaffold-free muscle units enable pre-formed cell-cell interactions that support myogenesis, unlike dissociated cells that lack cell-cell interactions. This technology of intraoperative modular muscle unit implantation is promising for clinical use for precise bioprinting of scalable tissues from geometrically tunable modular units.
This dataset
Open GSE292577 in finder → Find more 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 GSE292577_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 PRJNA1240243 and SRA study SRP572197. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
39 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 39 sample titles: 39 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
Datasets on a similar topic

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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.