GEO series

Nano MiRNA-Functionating Tetrahedral Framework Nucleic Acid for Cartilage-targeted Ferritinophagy Modulation to Attenuate Temporomandibular Joint Osteoarthritis

GSE303194 Mus musculus (mouse) RNA-seq (gene expression) 15 samples Submitted 2026/01/21 Platform GPL17021

At a glance

RNA-seq (gene expression) · mouse · 15 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: 15 samples: 15 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.
Paper: Nano MiRNA-Functionating Tetrahedral Framework Nucleic Acid for Cartilage-Targeted Ferritinophagy Modulation to Attenuate Temporomandibular Joint OsteoarthritisSmall science · 2026

Summary (written by the submitters)

Background and objectives: Current clinical interventions lack effective strategies to arrest temporomandibular joint osteoarthritis (TMJOA) progression. Emerging evidence highlights the therapeutic potential of microRNAs (miRNAs) in osteoarthritis (OA) management, though critical challenges persist regarding delivery efficiency, including unsatisfactory cellular uptake, immunogenicity, and structural instability of miRNA-based therapeutics.

Read the full summary ↓

Methods and results: Considering the powerful editability of tetrahedral framework nucleic acids (tFNAs) for gene delivery, we engineered a novel nanoscale gene delivery system using tetrahedral framework nucleic acids functionalized with miR-143-3p (tFNAs-143). Through comprehensive in vivo modeling of TMJOA destabilization and in vitro simulation of IL-1β-induced inflammatory microenvironments, we systematically investigated the therapeutic efficacy and molecular mechanisms underlying OA pathophysiology of tFNAs-143. Our results demonstrated that tFNAs-143 exhibited excellent cellular internalization in chondrocytes and effectively mitigated TMJOA progression by impeding ferritinophagy-mediated ferroptosis. Conclusions: This study advanced miRNA delivery technology for TMJOA therapy, deepened the insights into TMJOA pathogenesis, and proposed a promising nano therapeutic strategy for developing targeted TMJOA therapies.

Published in

Nano MiRNA-Functionating Tetrahedral Framework Nucleic Acid for Cartilage-Targeted Ferritinophagy Modulation to Attenuate Temporomandibular Joint Osteoarthritis

Yuan W, Huang M, Chen L et al. · Small science 2026 · PMID 41537172 · doi:10.1002/smsc.202500267

This dataset

Open GSE303194 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 GSE303194_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 PRJNA1294315 and SRA study SRP602411. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41537172) ↗

Study design

15 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 15 sample titles: 15 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

GSM9120218 chondrocytes, con 1, 24 hours
GSM9120219 chondrocytes, con 2, 24 hours
GSM9120220 chondrocytes, con 3, 24 hours
GSM9120221 chondrocytes, IL-1, 24 hours
GSM9120222 chondrocytes, IL-2, 24 hours
GSM9120223 chondrocytes, IL-3, 24 hours
GSM9120224 chondrocytes,IL-143-1, 24 hours
GSM9120225 chondrocytes, IL-143-2, 24 hours
GSM9120226 chondrocytes,IL-143-3, 24 hours
GSM9120227 chondrocytes, IL-148-1, 24 hours
GSM9120228 chondrocytes, IL-148-2, 24 hours
GSM9120229 chondrocytes,IL-148-3, 24 hours
GSM9120230 chondrocytes,IL-7i-1, 24 hours
GSM9120231 chondrocytes, IL-7i-2, 24 hours
GSM9120232 chondrocytes, IL-7i-3, 24 hours

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GSE261528 Long-term haplodeficency of DSPP causes temporomandibular joint osteoarthritis in mice 3 samples shares temporomandibular, osteoarthritis
GSE276131 Single-cell transcriptomic and spatial subcellular landscape of the articular disk synovium in mouse temporomandibular joint osteoarthritis 3 samples shares temporomandibular, osteoarthritis
GSE267942 Mapping cell diversity and position in temporomandibular joint osteoarthritis with pain at single cell resolution 2 samples shares temporomandibular, osteoarthritis
GSE295404 Lymphatic dysfunction drives inflammatory temporomandibular joint osteoarthritis (TMJOA) and pain 2 samples shares temporomandibular, osteoarthritis

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