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Flow cytometric analysis of circulating microparticles in plasma
Open accessAbstract
Microparticles, which include exosomes, micro‐vesicles, apoptotic bodies and apoptotic microparticles, are small (0.05 ‐ 3 μm in diameter), membranous vesicles that can contain DNA, RNA, miRNA, intracellular proteins and express extracellular surface markers from the parental cells. They can be secreted from intracellular multivesicular bodies or released from the surface of blebbing membranes. Circulating microparticles are abundant in the plasma of normal individuals and can be derived from circulating blood cells such as platelets, red blood cells and leukocytes as well as from tissue sources, such as endothelial and placental tissues. Elevated levels of microparticles are associated with various diseases such as thrombosis (platelet microparticles), congestive heart failure (endothelial microparticles), breast cancer patients (leukocyte microparticles) and women with preeclampsia (syncytiotrophoblast microparticles). Although microparticles can be detected by microscopy, enzyme‐linked immunoassays and functional assays, flow cytometry is the preferred method because of the ability to quantitate (fluorescent bead‐ or flow rate‐based method) and because of polychromatic capabilities. However, standardization of pre‐analytical and analytical modus operandi for isolating, enumerating and fluorescent labeling of microparticles remains a challenge. The primary focus of this article is to review the preliminary steps required to optimally study circulating in vivo microparticles which include: 1) centrifugation speed used, 2) quantitation of microparticles before antibody labeling, 3) levels of fluorescence intensity of antibody‐labeled microparticles, 4) polychromatic flow cytometric analysis of microparticle sub‐populations and 5) use of polyclonal antibodies designed for Western blotting for flow cytometry. These studies determine a roadmap to develop microparticles as biomarkers for a variety of conditions. © 2010 International Society for Advancement of Cytometry
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Valadi, H., Ekström, K., Bossios, A., Sjöstrand, M., Lee, J. J., & Lötvall, J. O. (2007) · Nature Cell Biology · doi:10.1038/ncb1596 · Cited by 12,834
Luo, S.-S., Ishibashi, O., Ishikawa, G., Ishikawa, T., Katayama, A., Mishima, T., Takizawa, T., Shigihara, T., Goto, T., Izumi, A., et al. (2009) · Biology of Reproduction · doi:10.1095/biolreprod.108.075481 · Cited by 489
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Gurunathan, S., Kang, M.-H., Jeyaraj, M., Qasim, M., & Kim, J.-H. (2019) · Cells · doi:10.3390/cells8040307 · Cited by 1,122
van der Vlist, E. J., Nolte-'t Hoen, E. N. M., Stoorvogel, W., Arkesteijn, G. J. A., & Wauben, M. H. M. (2012) · Nature Protocols · doi:10.1038/nprot.2012.065 · Cited by 532
Methodological challenges in utilizing mi RNA s as circulating biomarkers
Moldovan, L., Batte, K. E., Trgovcich, J., Wisler, J., Marsh, C. B., & Piper, M. (2014) · Journal of Cellular and Molecular Medicine · doi:10.1111/jcmm.12236 · Cited by 436
Salomon, C., Torres, M. J., Kobayashi, M., Scholz-Romero, K., Sobrevia, L., Dobierzewska, A., Illanes, S. E., Mitchell, M. D., & Rice, G. E. (2014) · PLoS ONE · doi:10.1371/journal.pone.0098667 · Cited by 401
Digital Detection of Exosomes by Interferometric Imaging
Daaboul, G. G., Gagni, P., Benussi, L., Bettotti, P., Ciani, M., Cretich, M., Freedman, D. S., Ghidoni, R., Ozkumur, A. Y., Piotto, C., et al. (2016) · Scientific Reports · doi:10.1038/srep37246 · Cited by 292
Metadata
- Authors
- Orozco, A. F., & Lewis, D. E.
- Venue
- Cytometry Part A
- Publisher
- Wiley
- Published
- 2010-03-16
- Volume
- 77A
- Issue
- 6
- Pages
- 502-514
- ISSN
- 1552-4922 (ISSN-L)
- 1552-4930
- OpenAlex
- W2011575213
- Cited by
- 333
- References
- 2
- FWCI
- 9.92
- Type
- journal article
- Language
- en
- Open access
- bronze
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