The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Detection and Characterization of Different Brain-Derived Subpopulations of Plasma Exosomes by Surface Plasmon Resonance Imaging
Abstract
The use of exosomes for diagnostic and disease monitoring purposes is becoming particularly appealing in biomedical research because of the possibility to study directly in biological fluids some of the features related to the organs from which exosomes originate. A paradigmatic example are brain-derived exosomes that can be found in plasma and used as a direct read-out of the status of the central nervous system (CNS). Inspired by recent remarkable development of plasmonic biosensors, we have designed a surface plasmon resonance imaging (SPRi) assay that, taking advantage of the fact that exosome size perfectly fits within the surface plasmon wave depth, allows the detection of multiple exosome subpopulations of neural origin directly in blood. By use of an array of antibodies, exosomes derived from neurons and oligodendrocytes were isolated and detected with good sensitivity. Subsequently, by injecting a second antibody on the immobilized vesicles, we were able to quantify the amount of CD81 and GM1, membrane components of exosomes, on each subpopulation. In this way, we have been able to demonstrate that they are not homogeneously expressed but exhibit a variable abundance according to the exosome cellular origin. These results confirm the extreme variability of exosome composition and demonstrate how SPRi can provide an effective tool for their characterization. Besides, our work paves the road toward more precise clinical studies on the use of exosomes as potential biomarkers of neurodegenerative diseases.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Central nervous system (CNS) neuron- and oligodendrocyte-derived exosomes in human peripheral blood have been captured by employing an array of cell-type specific antibodies via surface plasmon resonance imaging [29].”
From Differential RNA packaging into small extracellular vesicles by neurons and astrocytes (2021) · cites this paper as [29]
Citations
Cites
Extracellular vesicles: Exosomes, microvesicles, and friends
Raposo, G., & Stoorvogel, W. (2013) · Journal of Cell Biology · doi:10.1083/jcb.201211138 · Cited by 8,099
Ha, D., Yang, N., & Nadithe, V. (2016) · Acta Pharmaceutica Sinica B · doi:10.1016/j.apsb.2016.02.001 · Cited by 1,346
EV-TRACK: transparent reporting and centralizing knowledge in extracellular vesicle research
EV-TRACK Consortium, Van Deun, J., Mestdagh, P., Agostinis, P., Akay, Ö., Anand, S., Anckaert, J., Martinez, Z. A., Baetens, T., Beghein, E., et al. (2017) · Nature Methods · doi:10.1038/nmeth.4185 · Cited by 1,284
Fiandaca, M. S., Kapogiannis, D., Mapstone, M., Boxer, A., Eitan, E., Schwartz, J. B., Abner, E. L., Petersen, R. C., Federoff, H. J., Miller, B. L., et al. (2015) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2014.06.008 · Cited by 959
Research works printed but not linked: 53
- Théry, 2002, Nat. Rev. Immunol., 2, 569, 10.1038/nri855 · DOI
- Willms, 2016, Sci. Rep., 6, 22519, 10.1038/srep22519 · DOI
- Gualerzi, 2017, Sci. Rep., 7, 9820, 10.1038/s41598-017-10448-1 · DOI
- Camussi, 2010, Kidney Int., 78, 838, 10.1038/ki.2010.278 · DOI
- Tkach, 2016, Cell, 164, 1226, 10.1016/j.cell.2016.01.043 · DOI · Paper page
- Yang, 2011, Clin. Dev. Immunol., 2011, 842849, 10.1155/2011/842849 · DOI
- Tickner, 2014, Front. Oncol., 4, 127, 10.3389/fonc.2014.00127 · DOI
- Quek, 2017, Biochem. Biophys. Res. Commun., 483, 1178, 10.1016/j.bbrc.2016.09.090 · DOI · Paper page
- Lim, 2017, Acta Neuropathol. Commun., 5, 64, 10.1186/s40478-017-0467-z · DOI
- Soria, 2017, Front. Neurosci., 11, 26, 10.3389/fnins.2017.00026 · DOI
- György, 2011, Cell. Mol. Life Sci., 68, 2667, 10.1007/s00018-011-0689-3 · DOI
- Cobelli, 2017, Ann. N. Y. Acad. Sci., 1410, 57, 10.1111/nyas.13469 · DOI
- Zhang, 2018, Biomaterials, 156, 16, 10.1016/j.biomaterials.2017.11.028 · DOI · Paper page
- Jarmalavičiu̅tė, 2016, Pharmacol. Res., 113, 816, 10.1016/j.phrs.2016.02.002 · DOI
- García-Romero, 2017, Oncotarget, 8, 1416, 10.18632/oncotarget.13635 · DOI · Paper page
- Aryani, 2016, Mol. Neurobiol., 53, 818, 10.1007/s12035-014-9054-5 · DOI
- Grey, 2015, J. Biol. Chem., 290, 2969, 10.1074/jbc.M114.585703 · DOI
- Rajendran, 2006, Proc. Natl. Acad. Sci. U. S. A., 103, 11172, 10.1073/pnas.0603838103 · DOI · Paper page
- Sáenz-Cuesta, 2014, Front. Cell. Neurosci., 8, 100, 10.3389/fncel.2014.00100 · DOI
- Witwer, 2013, J. Extracell. Vesicles, 2, 20360, 10.3402/jev.v2i0.20360 · DOI
- Tang, 2017, Int. J. Mol. Med., 40, 834, 10.3892/ijmm.2017.3080 · DOI
- Zhu, 2014, Anal. Chem., 86, 8857, 10.1021/ac5023056 · DOI
- Sina, 2016, Sci. Rep., 6, 30460, 10.1038/srep30460 · DOI
- Grasso, 2015, Anal. Bioanal. Chem., 407, 5425, 10.1007/s00216-015-8711-5 · DOI
- Di Noto, 2016, Biosens. Bioelectron., 77, 518, 10.1016/j.bios.2015.09.061 · DOI
- Im, 2014, Nat. Biotechnol., 32, 490, 10.1038/nbt.2886 · DOI
- Hosseinkhani, 2017, Nanomedicine, 13, 1663, 10.1016/j.nano.2017.03.010 · DOI
- van der Pol, 2013, J. Thromb. Haemostasis, 11, 36, 10.1111/jth.12254 · DOI
- van der Pol, 2012, J. Thromb. Haemostasis, 10, 919, 10.1111/j.1538-7836.2012.04683.x · DOI
- Welton, 2015, J. Extracell. Vesicles, 4, 27269, 10.3402/jev.v4.27269 · DOI
- Mol, 2017, Nanomedicine, 13, 2061, 10.1016/j.nano.2017.03.011 · DOI
- Baranyai, 2015, PLoS One, 10, 10.1371/journal.pone.0145686 · DOI
- Gámez-Valero, 2016, Sci. Rep., 6, 33641, 10.1038/srep33641 · DOI
- Nakai, 2016, Sci. Rep., 6, 33935, 10.1038/srep33935 · DOI
- Lötvall, 2014, J. Extracell. Vesicles, 3, 26913, 10.3402/jev.v3.26913 · DOI · Paper page
- Stranska, 2018, J. Transl. Med., 16, 1, 10.1186/s12967-017-1374-6 · DOI
- Altadill, 2016, PLoS One, 11, 10.1371/journal.pone.0151339 · DOI
- Maiolo, 2015, Anal. Chem., 87, 4168, 10.1021/ac504861d · DOI
- Mustapic, 2017, Front. Neurosci., 11, 278, 10.3389/fnins.2017.00278 · DOI · Paper page
- Gong, 2016, J. Cell Biol., 214, 35, 10.1083/jcb.201601085 · DOI
- Pasquale, 2016, J. Cell Biol., 214, 5, 10.1083/jcb.201606074 · DOI
- Krämer-Albers, 2007, Proteomics: Clin. Appl., 1, 1446, 10.1002/prca.200700522 · DOI
- Yoshioka, 2013, J. Extracell. Vesicles, 2, 20424, 10.3402/jev.v2i0.20424 · DOI
- Shi, 2014, Acta Neuropathol., 128, 639, 10.1007/s00401-014-1314-y · DOI · Paper page
- Debiec, 1998, J. Cell Biol., 143, 2067, 10.1083/jcb.143.7.2067 · DOI
- Pancook, 1997, J. Immunol., 158, 4413, 10.4049/jimmunol.158.9.4413 · DOI
- Inaguma, 2016, Oncotarget, 7, 55276, 10.18632/oncotarget.10527 · DOI
- Talebian, 2017, Dev. Biol., 431, 179, 10.1016/j.ydbio.2017.09.024 · DOI
- Verdier, 2004, J. Pept. Sci., 10, 229, 10.1002/psc.573 · DOI
- Rushworth, 2010, Int. J. Alzheimer's Dis., 2011, 603052, 10.4061/2011/603052 · DOI
- Yanagisawa, 1995, Nat. Med., 1, 1062, 10.1038/nm1095-1062 · DOI
- van Echten-Deckert, 2012, Prog. Lipid Res., 51, 378, 10.1016/j.plipres.2012.07.001 · DOI
- Marconi, 2005, J. Neuroimmunol., 170, 115, 10.1016/j.jneuroim.2005.03.025 · DOI
Cited by
Sorted by citations
Analysis of extracellular vesicles as emerging theranostic nanoplatforms
Xing, Y., Cheng, Z., Wang, R., Lv, C., James, T. D., & Yu, F. (2020) · Coordination Chemistry Reviews · doi:10.1016/j.ccr.2020.213506 · Cited by 67
Differential RNA packaging into small extracellular vesicles by neurons and astrocytes
Luo, X., Jean-Toussaint, R., Sacan, A., & Ajit, S. K. (2021) · Cell Communication and Signaling · doi:10.1186/s12964-021-00757-4 · Cited by 32
Tian, T., Qiao, S., & Tannous, B. A. (2023) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.2c07981 · Cited by 27
Metadata
- Authors
- Picciolini, S., Gualerzi, A., Vanna, R., Sguassero, A., Gramatica, F., Bedoni, M., Masserini, M., & Morasso, C.
- Affiliations
- IRCCS Fondazione Don Carlo Gnocchi ONLUS , , ,
- University of Milano-Bicocca , , ,
- Venue
- Analytical Chemistry
- Publisher
- American Chemical Society (ACS)
- Published
- 2018-07-04
- Volume
- 90
- Issue
- 15
- Pages
- 8873-8880
- ISSN
- 0003-2700
- 1520-6882
- Cited by
- 122
- References
- 4
- Language
- en
- Licence
- Funders
- Ministero della Salute
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review