Abstract
Elevated serum phosphate is one of the major factors contributing to vascular calcification. Studies suggested that extracellular vesicles released from vascular smooth muscle cells significantly contribute to the initiation and progression of this pathology. Recently, we have demonstrated that elevated phosphate stimulates release of extracellular vesicles from osteogenic cells at the initiation of the mineralization process. Here, we used MOVAS cell line as an in vitro model of vascular calcification to examine whether vascular smooth muscle cells respond to high phosphate levels in a similar way and increase formation of extracellular vesicles. Vesicles residing in extracellular matrix as well as vesicles released to culture medium were evaluated by nanoparticle tracking analyses. In addition, using mass spectrometry and protein profiling, protein composition of extracellular vesicles released by MOVAS cells under standard growth conditions and upon exposure to high phosphate was compared. Significant increase of the number of extracellular vesicles was detected after 72 hours of exposure of cells to high phosphate. Elevated phosphate levels also affected protein composition of extracellular vesicles released from MOVAS cells. Finally, the comparative analyses of proteins in extracellular vesicles isolated from extracellular matrix and from conditioned medium identified significant differences in protein composition in these two groups of extracellular vesicles. In conclusion, results of this study demonstrate that exposure of MOVAS cells to high phosphate levels stimulates the release of extracellular vesicles and changes their protein composition.
Keywords: extracellular vesicles, matrix vesicles, phosphate, mineralization, proteomics
Introduction
Vascular calcification, in particular mineralization of the elastic medial layer (known as medial vascular calcification, MVC), is a prevalent pathology commonly associated with chronic kidney disease, diabetes and aging (1–3). It has been shown that this pathological mineralization is accompanied by expression of osteogenic genes, elevated tissue-nonspecific alkaline phosphatase (TNAP/ALPL) and increased production of extracellular vesicles (EVs), which are positive for mineralization-related proteins (4–8). It has been suggested that EVs released from vascular smooth muscle of underlying mechanisms of vascular calcification. Alternatively, deposition of hydroxyapatite due to shift of the balance between mineralization promoters and inhibitors may precede osteogenic transdifferentiation of VSMC (9, 10). Although the exact mechanism of medial vascular calcification has not been fully elucidated yet, this pathological mineralization shows remarkable molecular similarities with physiological mineralization in skeletal and dental tissues.
A major contributing factor inducing vascular calcification is sustained elevation of serum phosphate levels (11–13). Phosphate plays a dual role in mineralization. First, inorganic phosphate (PO43-/Pi) is a structural component of hydroxyapatite (HA) crystals, the primary mineral in hard tissues and in calcifying blood vessels. Second, Pi acts as a signaling molecule, which regulates expression of mineralization-related genes (14–16). Recently, we have demonstrated that elevated Pi levels stimulate release of mineralization-competent matrix vesicles (MVs) from osteogenic cells and change MVs protein composition (17). MVs have been first detected in the extracellular matrix (ECM) of the growth plate cartilage. It has been proposed that cartilage MVs are the initial sites of hydroxyapatite formation, hence facilitate the initiation of the mineralization process during endochondral bone formation (18–20). This specific function is determined by molecular composition of MVs. MVs are enriched in phospholipids and proteins that provide Pi and Ca2+ into MVs lumen, allowing for generating locally high concentration of these ions, which, in turn, facilitates nucleation of HA crystals. Consistently, mineral-containing MVs have been detected in hypertrophic cartilage, mantle dentin and woven bone (21–23), although the contribution of MVs to mineralization of these tissues in vivo remains to be determined.
The aim of this study was to gain better understanding of mechanisms of Pi-induced pathologic calcification driven by VSMC. We hypothesized that, similarly to osteogenic cells, elevated Pi levels stimulate release of EVs from VSMC and alter EVs protein composition.
Materials and Methods
Cell culture and EVs characterization
MOVAS cells were purchased from ATCC (Manassas, VA, USA) and grown in DMEM medium supplemented with 10% FBS and 50 μg/ml ascorbic acid and Na-Pi buffer (pH=7.4) at the final concentration as indicated. Mineralization experiments, alizarin red staining, EVs purification and characterization by nanoparticle tracking analyses (NTA) and cryo-electron microscopy (cryo-EM) were done as described previously (17) with a modification of the ECM digestion protocol by the addition of elastase (0.8U/ml). For the detection of cleaved caspase-3, confluent cells were treated with Na-Pi buffer for 24h.
Immunostaining
MOVAS cells were plated at 1×10^5 cells/ chamber in 2-chamber slides (Lab Tek II) and grown to the confluency for 3 days. Fibrillin was detected using anti-fibrillin I antibody (1:50 dilution, Abcam) with anti-rabbit IgG HRP secondary antibody (1:2000 dilution, Abcam) and DAB Peroxidase Substrate detection kit (Vector Labs) according to the manufacturer instructions. No counterstaining was used. Cells were imaged under the Nikon TE2000 microscope.
Mass spectrometry and bioinformatics analyses
EVs were homogenized in NuPAGE LDS buffer, sonicated for 20min, followed by centrifugation at 12,000×g, 4°C for 20min. 5μg of protein per sample were denatured and separated (half-way) on a 10% SDS Bis-Tris gel. The gels were stained, and four molecular weight fractions were cut out, digested with Trypsin Gold (Promega), and peptide extracts were reconstituted in 0.1% formic acid/ ddH2O at ~0.1μg/μL. Mass spectrometry was carried out, and the data were processed, searched, filtered, grouped, and quantified, as previously reported in detail (under section 2.5 nLC-ESI-MS2 and Protein IDs for GeLC) (24). Following protein identification, and relative quantification by normalized spectral counting, a three-fold cut off was applied to each pairwise comparison to be further analyzed using gene ontology assignments. PANTHER 11.0 software and tools were used to generate gene ontology (GO) assignments for identified proteins. To identify overrepresented and underrepresented terms in each EVs group, Panther statistical overrepresentation test was employed (25, 26).
Results
Phosphate stimulates release of extracellular vesicles from MOVAS cells
To understand the mechanisms of Pi-induced vascular calcification, the MOVAS cell line (mouse aortic smooth muscle cells) was used as an in vitro model of MVC (27). First, the effect of elevated Pi levels on mineralization of MOVAS cells was evaluated. Alizarin red staining for calcium deposits demonstrated that in all 3 tested concentrations of Pi, mineralization of MOVAS cells can be detected as early as on day 7 of growth in the osteogenic medium (Fig. 1A). On day 14, there was an apparent correlation between the extent of mineralization and the Pi concentration. Importantly, exposure of MOVAS cells to elevated Pi levels did not result in increased cell apoptosis as demonstrated by cleaved caspase-3 (Fig. 1B). There was no difference between the levels of cleaved caspase-3 in cells cultured under standard growth conditions and cells treated with high Pi for 24h.
Figure 1.
Pi-induces mineralization of MOVAS cells and stimulates release of EVs. A. Alizarin red staining of cells cultured in the osteogenic medium containing 5, 7 or 10 mM Pi, and cells cultured in standard growth medium (Ctrl). B. Western blot analyses of cleaved caspase-3 (casp-3) in cells treated with 5, 7, and 10 mM Pi for 24h, and non-treated cells (Ctrl). Alpha-tubulin (α-tub) was used as the protein loading control. C. Representative microscopic images of MOVAS immunostaining with antifibrillin antibodies (Fbn1), and control staining without the primary antibody (IgG (–)ctrl). No counterstain was used. D. Results of nanoparticle tracking analyses showing the number of EVs isolated from conditioned medium (medium) or extracellular matrix (ECM) of MOVAS cells grown in the presence of 10 mM Pi for 24, 48 and 72h. Data are represented as the mean values of three independent experiments ± SD, *p<0.01. E. Results of nanoparticle tracking analyses showing the size distribution of EVs. F. Representative cryo-electron microscopy images of four experimental groups of MOVAS EVs (arrows). Scale bar = 100nm.
Next, the effect of elevated Pi levels (10mM) on the release of EVs was analyzed. Since in our previous studies on Pi-induced EV release from osteogenic cells we determined that the majority of EVs reside in ECM (17), EVs were isolated from both ECM and from conditioned media. Of note, the ECM produced by MOVAS cells has not been characterized yet. Using immunostaining, we detected fibrillin (Fig. 1C), a characteristic protein of elastic tissues ECM. We did not detect elastin nor collagen type I in MOVAS cells (data not shown). Quantification of EVs by NTA revealed that the significant increase of the number of EVs in both ECM and conditioned medium fractions occurred at 72h of exposure to elevated Pi (Fig. 1D). In addition, NTA analysis showed that the size of EVs does not change in response to 10mM Pi (Fig. 1E). Cryo-EM imaging showed that purified nano-particles used for subsequent molecular analyses were indeed membrane vesicles (Fig. 1F).
Elevated phosphate changes protein composition of MOVAS extracellular vesicles in conditioned medium and in extracellular matrix
To characterize protein profiles of EVs released by VSMC and to determine the effect elevated extracellular Pi on EVs molecular composition, four experimental groups of EVs released from MOVAS cells were analyzed by tandem mass spectrometry: 1) EVs released by cells to medium within 24h of exposure to 10mM Pi (Pi-med group); 2) EVs released to medium by cells grown without additional Pi (Ctrl-med group); 3) EVs released to ECM by cells within 24h of exposure to 10mM Pi (Pi-ECM group); 4) EVs released to ECM by cells grown without additional Pi (Ctrl-ECM group). A total of 1222 proteins were detected in MOVAS EVs, 27% of which were detected in all 4 EVs groups (Fig. 2A and Suppl. Table 1). 37% of all identified proteins were detected only medium EVs and 11% only in ECM EVs (Figure 2A). Each group had a set of unique proteins; the Ctrl-med group had the highest percentage of unique proteins (10% of all Ctrl-med proteins), while the Pi-med group had the fewest unique proteins (4% of all Pi-med proteins).
Figure 2.
Summary of proteomic analyses of EVs released from MOVAS cells under standard growth conditions (Ctrl) and upon 24h treatment with 10 mM Pi (Pi). EVs were isolated either from conditioned medium (medium) or from the extracellular matrix (ECM). A. Venn diagram showing distribution of identified proteins in specific EVs groups. B. Venn diagrams summarizing the effect of high Pi on EVs protein composition. C. Protein profiling: GO annotations on molecular function and biological process of proteins significantly changed by Pi (≥3 fold difference) and proteins present only in either Ctrl or in Pi group. All 1222 proteins identified by mass spectrometry were used as a reference to determine the overrepresented GO terms. Significantly overrepresented GO terms are listed (p<0.05).
Next, we focused the analyses on the influence of Pi on the molecular composition of EVs. In this set of analyses, the effect of Pi was evaluated separately for ECM EVs proteins and medium EVs proteins. These comparative analyses revealed that a majority of proteins were present in both control and treatment groups (Fig. 2B). Of these shared sets of proteins, 14% were significantly (≥ 3 fold difference) changed by Pi treatment in both ECM EVs and medium EV groups (Fig. 2B). To gain insight into the biological and functional significance of Pi-induced changes, the Panther statistical overrepresentation test with all 1222 identified proteins as a reference list was employed (25, 26). For this test, proteins significantly upregulated by Pi were combined with proteins detected only in Pi-treated group, and proteins significantly downregulated by Pi were combined with proteins detected only in control group. This generated 4 sets of Pi-regulated proteins: i) ECM EVs ↓ by Pi (201 unique proteins + 39 significantly downregulated); ii) ECM EVs↑ by Pi (88 unique proteins + 29 significantly upregulated); iii) medium EVs ↓ by Pi (174 unique proteins + 59 significantly downregulated); iv) medium EVs ↑ by Pi (102 unique proteins + 55 significantly upregulated). Gene ontology terms significantly overrepresented in each group in comparison with all identified proteins were delineated (Fig. 2C and 2D). Due to space constraints, 18 of the least changed and redundant GO Biological Process terms were excluded from the Figure 2C. In summary, mass spectrometry in combination with gene ontology analyses and Panther overrepresentation test revealed differences in protein composition of ECM EVs and medium EVs and demonstrated that Pi treatment significantly alters the protein composition of both types of EVs produced by MOVAS cells. Furthermore, the regulation pattern of specific functional groups of proteins is different in ECM and medium EVs.
Discussion
In this study, we took a comprehensive proteomic approach to understand the consequences of the elevated extracellular Pi on EVs released by vascular smooth muscle cells. Results of this study demonstrate that high Pi levels have a similar effect on MOVAS cells as previously reported for osteogenic cells (17). First, Pi stimulates the release of EVs from MOVAS cells. Second, Pi influences the molecular composition of MOVAS EVs.
The increase of the EVs release was detected 72h after exposure to high Pi, which is similar to osteoblast precursor cells MC3T3-E1 and ST2 and over 48h later than observed in already committed 17IIA11 osteogenic cells (17). This suggests that in MOVAS cells the increase of the EVs release requires extended exposure to high Pi levels. This mimics the chronic hyperphosphatemic state in vivo. Of note, unlike osteogenic cells, where the vast majority of EVs reside in ECM, the EVs released by MOVAS cells were equally distributed between ECM and medium. This may reflect the differences in the abundance and composition of ECM produced by MOVAS cells in comparison with osteogenic cells. ECM produced by osteogenic cells is rich in collagen type I, while ECM of MOVAS has characteristics of elastic tissues (Fig. 1C). Alternatively, the function of Pi-induced EVs from MOVAS cells may be different than the function of osteogenic EVs, which support the initiation of mineralization. For example, very low levels of tissue-nonspecific alkaline phosphatase were detected in MOVAS ECM EVs and none in medium EVs, while this mineralization-supporting enzyme is highly abundant in MVs released by chondrocytes and osteogenic cells. However, it is important to note that in this study the protein composition of EVs released from vascular smooth muscle cells was analyzed after only a short exposure to high Pi. To address the role of MOVAS EVs in the mineralization process, EVs released after an extended period of the exposure to high Pi should also be analyzed to allow MOVAS cells to activate the osteogenic program.
All four groups of MOVAS EVs were highly positive for annexins, which can function as calcium channels. Although this function implicates annexins in the mineralization process, these proteins are commonly detected in a variety of EVs released by many different cell types, thus are not considered specific for mineralization-supporting EV. Histones and cytoskeleton proteins, such as actins and tubulins, are also commonly detected in EVs of different origin. These proteins were also highly abundant in MOVAS EVs, demonstrating that MOVAS EVs share common molecular features with EVs released from other cell types.
It has been demonstrated that EVs carry a molecular footprint of the type of cells they originate from. Consistently with this observation, vascular smooth muscle cells ECM proteins were among the most represented peptides detected in MOVAS EVs. Interestingly, they were differentially distributed between ECM and medium EVs. For example, perlecan (basement membrane-specific heparan sulfate proteoglycan core protein) and fibronectin were highly enriched in medium EVs in comparison with ECM EVs, while fibrillin, the essential protein for formation of elastic fibers, was specifically detected in ECM EVs. This highlights the molecular differences between EVs retained in ECM and those, which escaped ECM. Further studies are required to establish, if these proteins have an active role in determining the target location of EVs released by MOVAS cells or they are specifically distributed to EVs that are already destined for different extracellular locations.
Before the increase of the number of released EVs in response to elevated Pi occurs, changes in the EVs protein composition could be detected. For example, clathrin heavy chain 1 protein, a protein involved in endocytosis and membrane traffic (28), is significantly downregulated by Pi specifically in ECM EVs, while it remains at high levels in medium EVs. This suggests that Pi-induced ECM EVs may be formed by clathrin-negative membrane domains. An interesting example of a protein upregulated by Pi is Golgi apparatus protein 1 (also known as E-selectin ligand 1). This ECM protein, which regulates TGF-β signaling and bone mineralization (29) is not detected in Ctrl medium EVs but is present in medium EVs released upon Pi treatment, and is one of the highly abundant proteins in Pi-ECM EVs. This suggest that Pi-induced EVs may regulate mineralization indirectly by affecting signaling molecules residing in the ECM.
Overall, elevated Pi had a significant influence on protein composition of both ECM and medium EVs. However, Gene Ontology analyses revealed that different functional groups of proteins were overrepresented in Pi-treated ECM EVs and Pi-treated medium EVs (Fig. 2C and 2D). Similarly, nontreated ECM EVs and non-treated medium EVs shared very few overrepresented protein groups. Taken together, this suggests that ECM EVs are different from medium EVs on both molecular and functional level. This finding has a particular importance for designing studies searching for biomarkers of cellular metabolic changes as well as for studies addressing biological functions of EVs, as the results of such studies may vary depending on the extracellular compartment from which EVs are obtained.
In conclusion, these studies demonstrate that MOVAS cells respond to elevated Pi by increasing the release of EVs and changing their molecular composition. Further studies are required to determine whether these changes are driven by a gene expression program or Pi directly effects signaling pathways involved in release of EVs and/or protein trafficking.
Supplementary Material
Supplemental Table 1. List of proteins detected by mass spectrometry analyses of MOVAS extracellular vesicles. Quantitative values normalized to total spectra are shown. Note: Serum albumin is the only bovine protein detected in analyzed EVs; all keratins map to mus musculus proteins.
Acknowledgements
The mass spectrometry was carried out at the University of Alabama at Birmingham (UAB) Mass Spectrometry/Proteomics Shared Facility.
Funding
Research reported in this publication was supported by National Institute of Dental and Craniofacial Research of the National Institutes of Health under award number R01DE023083 (to D.N.). The UAB Mass Spectrometry/ Proteomics Shared Facility is supported by NIH National Cancer Institute award P30CA013148, UAB Comprehensive Cancer Center and the UAB Institutional Core Funding Mechanism.
Footnotes
Declaration of interest: The authors report no conflicts of interest. The authors alone are responsible for the content and writing of the paper.
References:
- 1.Lanzer P, Boehm M, Sorribas V, Thiriet M, Janzen J, Zeller T, St Hilaire C, Shanahan C. Medial vascular calcification revisited: review and perspectives. Eur Heart J. 2014;35(23):1515–25. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Wu M, Rementer C, Giachelli CM. Vascular calcification: an update on mechanisms and challenges in treatment. Calcif Tissue Int. 2013;93(4):365–73. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Towler DA, Demer LL. Thematic series on the pathobiology of vascular calcification: an introduction. Circ Res. 2011;108(11):1378–80. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Sheen CR, Kuss P, Narisawa S, Yadav MC, Nigro J, Wang W, Chhea TN, Sergienko EA, Kapoor K, Jackson MR, Hoylaerts MF, Pinkerton AB, O'Neill WC, Millan JL. Pathophysiological role of vascular smooth muscle alkaline phosphatase in medial artery calcification. J Bone Miner Res. 2015;30(5):824–36. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Lin ME, Chen T, Leaf EM, Speer MY, Giachelli CM. Runx2 Expression in Smooth Muscle Cells Is Required for Arterial Medial Calcification in Mice. Am J Pathol. 2015;185(7):1958–69. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Buchet R, Millan JL, Magne D. Multisystemic functions of alkaline phosphatases. Methods Mol Biol. 2013;1053:27–51. [DOI] [PubMed] [Google Scholar]
- 7.Alves RD, Eijken M, van de Peppel J, van Leeuwen JP. Calcifying vascular smooth muscle cells and osteoblasts: independent cell types exhibiting extracellular matrix and biomineralization-related mimicries. BMC Genomics. 2014;15:965. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Kapustin AN, Chatrou ML, Drozdov I, Zheng Y, Davidson SM, Soong D, Furmanik M, Sanchis P, De Rosales RT, Alvarez-Hernandez D, Shroff R, Yin X, Muller K, Skepper JN, Mayr M, Reutelingsperger CP, Chester A, Bertazzo S, Schurgers LJ, Shanahan CM. Vascular smooth muscle cell calcification is mediated by regulated exosome secretion. Circ Res. 2015;116(8):1312–23. [DOI] [PubMed] [Google Scholar]
- 9.Shao JS, Cheng SL, Sadhu J, Towler DA. Inflammation and the osteogenic regulation of vascular calcification: a review and perspective. Hypertension. 2010;55(3):579–92. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Murshed M, McKee MD. Molecular determinants of extracellular matrix mineralization in bone and blood vessels. Curr Opin Nephrol Hypertens. 2010;19(4):359–65. [DOI] [PubMed] [Google Scholar]
- 11.Giachelli CM, Speer MY, Li X, Rajachar RM, Yang H. Regulation of vascular calcification: roles of phosphate and osteopontin. Circ Res. 2005;96(7):717–22. [DOI] [PubMed] [Google Scholar]
- 12.Jono S, McKee MD, Murry CE, Shioi A, Nishizawa Y, Mori K, Morii H, Giachelli CM. Phosphate regulation of vascular smooth muscle cell calcification. Circ Res. 2000;87(7):E10–7. [DOI] [PubMed] [Google Scholar]
- 13.Palmer SC, Hayen A, Macaskill P, Pellegrini F, Craig JC, Elder GJ, Strippoli GF. Serum levels of phosphorus, parathyroid hormone, and calcium and risks of death and cardiovascular disease in individuals with chronic kidney disease: a systematic review and meta-analysis. JAMA. 2011;305(11):1119–27. [DOI] [PubMed] [Google Scholar]
- 14.Camalier CE, Yi M, Yu LR, Hood BL, Conrads KA, Lee YJ, Lin Y, Garneys LM, Bouloux GF, Young MR, Veenstra TD, Stephens RM, Colburn NH, Conrads TP, Beck GR, Jr. An integrated understanding of the physiological response to elevated extracellular phosphate. J Cell Physiol. 2013;228(7):1536–50. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Beck GR Jr. Inorganic phosphate as a signaling molecule in osteoblast differentiation. J Cell Biochem. 2003;90(2):234–43. [DOI] [PubMed] [Google Scholar]
- 16.Khoshniat S, Bourgine A, Julien M, Weiss P, Guicheux J, Beck L. The emergence of phosphate as a specific signaling molecule in bone and other cell types in mammals. Cell Mol Life Sci. 2011;68(2):205–18. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Chaudhary SC, Kuzynski M, Bottini M, Beniash E, Dokland T, Mobley CG, Yadav MC, Poliard A, Kellermann O, Millan JL, Napierala D. Phosphate induces formation of matrix vesicles during odontoblast-initiated mineralization in vitro. Matrix Biol. 2016;52–54:284–300. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Anderson HC. Vesicles associated with calcification in the matrix of epiphyseal cartilage. J Cell Biol. 1969;41(1):59–72. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Golub EE. Role of matrix vesicles in biomineralization. Biochim Biophys Acta. 2009;1790(12):1592–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Anderson HC, Garimella R, Tague SE. The role of matrix vesicles in growth plate development and biomineralization. Front Biosci. 2005;10:822–37. [DOI] [PubMed] [Google Scholar]
- 21.McKee MD, Yadav MC, Foster BL, Somerman MJ, Farquharson C, Millan JL. Compounded PHOSPHO1/ALPL deficiencies reduce dentin mineralization. J Dent Res. 2013;92(8):721–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Garces-Ortiz M, Ledesma-Montes C, Reyes-Gasga J. Presence of matrix vesicles in the body of odontoblasts and in the inner third of dentinal tissue: a scanning electron microscopic study. Med Oral Patol Oral Cir Bucal. 2013;18(3):e537–41. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Anderson HC. Molecular biology of matrix vesicles. Clin Orthop Relat Res. 1995(314):266–80. [PubMed] [Google Scholar]
- 24.Ludwig MR, Kojima K, Bowersock GJ, Chen D, Jhala NC, Buchsbaum DJ, Grizzle WE, Klug CA, Mobley JA. Surveying the serologic proteome in a tissue-specific kras(G12D) knockin mouse model of pancreatic cancer. Proteomics. 2016;16(3):516–31. [DOI] [PubMed] [Google Scholar]
- 25.Mi H, Huang X, Muruganujan A, Tang H, Mills C, Kang D, Thomas PD. PANTHER version 11: expanded annotation data from Gene Ontology and Reactome pathways, and data analysis tool enhancements. Nucleic Acids Res. 2017;45(D1):D183–D9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Mi H, Muruganujan A, Casagrande JT, Thomas PD. Large-scale gene function analysis with the PANTHER classification system. Nat Protoc. 2013;8(8):1551–66. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Mackenzie NC, Zhu D, Longley L, Patterson CS, Kommareddy S, MacRae VE. MOVAS-1 cell line: a new in vitro model of vascular calcification. Int J Mol Med. 2011;27(5):663–8. [DOI] [PubMed] [Google Scholar]
- 28.Kirchhausen T, Owen D, Harrison SC. Molecular structure, function, and dynamics of clathrin-mediated membrane traffic. Cold Spring Harb Perspect Biol. 2014;6(5):a016725. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Yang T, Grafe I, Bae Y, Chen S, Chen Y, Bertin TK, Jiang MM, Ambrose CG, Lee B. E-selectin ligand 1 regulates bone remodeling by limiting bioactive TGF-beta in the bone microenvironment. Proc Natl Acad Sci U S A. 2013;110(18):7336–41. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
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Supplementary Materials
Supplemental Table 1. List of proteins detected by mass spectrometry analyses of MOVAS extracellular vesicles. Quantitative values normalized to total spectra are shown. Note: Serum albumin is the only bovine protein detected in analyzed EVs; all keratins map to mus musculus proteins.


