Integrative analysis of miRNA in cartilage-derived extracellular vesicles and single-cell RNA-seq profiles in knee osteoarthritis

Quick Facts

  • Publication title: Integrative analysis of miRNA in cartilage-derived extracellular vesicles and single-cell RNA-seq profiles in knee osteoarthritis
  • Journal: Arch Biochem Biophys
  • Year: 2023
  • DOI: 10.1016/j.abb.2023.109785
  • PMID/PMCID: 37844826

Research overview

Extracellular vesicular miRNAs (EV-miRNAs) play essential roles as intercellular communication molecules in knee Osteoarthritis (OA). Our results provided some new insights into cartilage injury and knee OA pathogenesis which could improve the new diagnosis and treatment methods for OA.

Key findings

Extracellular vesicular miRNAs (EV-miRNAs) play essential roles as intercellular communication molecules in knee Osteoarthritis (OA).

We isolated cartilage-derived extracellular vesicles (EVs), to perform miRNA sequencing, which revealed EV-miRNA profiles and identified differentially expressed miRNAs (DE-miRNAs) between cartilage injury and cartilage non-injury groups.

The target genes of known and novel DE-miRNAs were predicted with multiMiR package in 14 miRNA-target interaction databases.

Meanwhile, single-cell RNA sequencing (scRNA-seq) was performed to identify chondrocyte clusters and their gene signatures in knee OA.

Echo Biotech Role

Echo Biotech contributed EV isolation and purification, EV characterization, miRNA profiling/sequencing and bioinformatic analysis; the study also used or cited Exosupur®.

Related platforms: Exoomics®, Research Reagents & Tools

Related services and capabilities: Tissue EV Isolation & Purification, EV Basic Characterization (TEM/NTA/WB), EV miRNA Profiling / Sequencing, Research Reagent / Product Supply

Related products or reagents: Exosupur® EV Isolation/Purification Kit

References

Original publication: Integrative analysis of miRNA in cartilage-derived extracellular vesicles and single-cell RNA-seq profiles in knee osteoarthritis Arch Biochem Biophys. 2023. DOI: 10.1016/j.abb.2023.109785. PMID/PMCID: 37844826.