Proteomic characterisation of matrix vesicles from primary osteoblasts indicates a mixed population with both exosomal and ectosomal routes of biogenesis.
Dillon, S.; Clews, C.; Kurian, D.; Nudelman, F.; Farquharson, C.; Stephen, L. A.
Show abstract
Matrix Vesicles are a crucial step in producing a mineralised, healthy skeleton. Released from chondrocytes and osteoblasts, they concentrate calcium and phosphate to establish the deposition of hydroxyapatite around and within the collagen fibrils of the extracellular matrix, becoming embedded in the matrix in the process. In the 55 years since H. Clarke Anderson first described them, blebbing from the surface of chondrocytes, a consensus on their role, contents and their biogenesis, has yet to be reached. This is in part due to the range of cell types from which they are released and the multitude techniques that can be employed to isolate them. In this study, we, for the first time, characterise the proteome of matrix vesicles isolated from primary osteoblasts. By focussing on those vesicles that have become embedded within the matrix, we are able to avoid bias for specific modes of biogenesis and focus only on osteoblast-released vesicles that are associated with the matrix. Moreover, by studying these vesicles over a time course of mineralising activity, we are able to identify changes in the properties of these vesicles, and develop a more accurate picture of which proteins are involved specifically in mineralisation. In particular we identify the presence of markers associated with the ectosomal and exosomal release of matrix vesicles, as well as identifying proteins required for the maintenance and mineralisation of the extracellular matrix. These data portray a heterogeneous population of matrix vesicles, with different roles to play in bone development.
Matching journals
The top 10 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Analysis of small EV proteomes reveals unique functional protein networks regulated by VAP-A 92%
- Data-Independent Acquisition and Quantification of Extracellular Matrix from Human Lung in Chronic Inflammation-Associated Carcinomas 90%
- A fast and sensitive size-exclusion chromatography method for plasma extracellular vesicle proteomic analysis 90%
Similar papers in this journal
- Proteomic Profiling of Mesenchymal Stem Cell-Derived Extracellular Vesicles: Impact of Isolation Methods on Protein Cargo 93%
- Investigating the Consistency of Extracellular Vesicle Production from Breast Cancer Subtypes Using CELLine Adherent Bioreactors 93%
- Proteome encoded determinants of protein sorting into extracellular vesicles 92%
Similar papers in this journal
- Generation and characterization of two immortalized dermal fibroblast cell lines from the spiny mouse (Acomys) 93%
- Title - Plasma-derived exosome-like vesicles are enriched in lyso-phospholipids and pass the blood-brain barrier 92%
- Osteoblast-osteoclast co-cultures: a systematic review and map of available literature 92%
Similar papers in this journal
- Extracellular vesicles from a novel chordoma cell line, ARF-8, promote tumorigenic microenvironmental changes when incubated with the parental cells and with human osteoblasts. 94%
- Mast cells differentiated in synovial fluid and resident in osteophytes exalt the inflammatory pathology of osteoarthritis 92%
- Defining the Proteomic and Phosphoproteomic Landscape of Circulating Extracellular Vesicles in the Diabetes Spectrum 91%
Similar papers in this journal
- Estrogen Deficiency alters Vascularization and Mineralization dynamics: insight from a novel 3D Humanized and Vascularized Bone Organoid Model 94%
- Oxidative stress induces release of mitochondrial DNA into the extracellular space in human placental villous trophoblast BeWo cells 90%
- Engineering of human myotubes toward a mature metabolic and contractile phenotype 90%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.