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Collagen-Enhanced Piezoelectric PLLA/ZnO Microfiber Barrier Membranes for Superior Bone Regeneration

GSE289010 Mus musculus (mouse) RNA-seq (gene expression) 18 samples Submitted 2026/02/28 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 18 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
Mus musculus (mouse)
Samples
18 samples: 18 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)
Repairing large bone defects remains a significant clinical challenge. This study explores the development of collagen-enhanced piezoelectric microfiber barrier membranes (PLLA/ZnO@COL) for bone regeneration. The membranes' physicochemical properties, especially their piezoelectric characteristics, significantly influenced cellular behavior.
Read the full summary ↓
Scanning electron microscopy (SEM) and energy-dispersive X-ray spectroscopy (EDS) confirmed the uniform dispersion of ZnO nanoparticles within the PLLA matrix, essential for optimal piezoelectric performance. The inclusion of collagen layers enhanced the electrical properties, cytocompatibility and osteogenic activity of the membranes. In vitro analyses, including bioinformatics, revealed that PLLA/ZnO@COL membranes upregulated key osteogenic pathways such as PI3K-AKT, MAPK, and Ras, thereby enhancing osteoblast proliferation, migration, and differentiation. Low-intensity pulsed ultrasound (LIPUS) stimulation further amplified these effects, indicating a synergistic role in enhancing osteoblast functions. In vivo studies using a rat mandibular bone defect model demonstrated that PLLA/ZnO@COL membranes, with the collagen layer facing the defect, significantly fostered new bone formation compared to control groups. Micro-CT analysis at 6 and 12weeks post-implantation showed higher bone mineral density, volume, and trabecular number in the PLLA/ZnO@COL group, indicating greater osteogenic activity. In conclusion, PLLA/ZnO@COL membranes, in conjunction with LIPUS, effectively enhance osteoblast functions and induce bone regeneration, showing potential as innovative barrier membranes in bone tissue engineering. The combination of piezoelectric properties, collagen enhancement, and LIPUS stimulation presents a novel approach to improving bone healing outcomes.
This dataset
Open GSE289010 in finder → Find more mouse 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 GSE289010_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 PRJNA1220602 and SRA study SRP562194. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
18 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 18 sample titles: 18 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.