Photometric method for dual targeting of surface and surface-associated proteins on extracellular vesicles in the multiparametric test
Extracellular vesicles (EVs) have become a topic of interest within the field of diagnostic biomarkers; however, recent developments in the study of EVs have increased the need for simpler but still comprehensive methods for characterization. Here, we describe how to simultaneously measure several s...
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Published in | Frontiers in molecular biosciences Vol. 9; p. 917487 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
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Frontiers Media S.A
25.10.2022
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ISSN | 2296-889X 2296-889X |
DOI | 10.3389/fmolb.2022.917487 |
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Abstract | Extracellular vesicles (EVs) have become a topic of interest within the field of diagnostic biomarkers; however, recent developments in the study of EVs have increased the need for simpler but still comprehensive methods for characterization. Here, we describe how to simultaneously measure several surface or surface-associated proteins on EVs using a multiparametric microarray-based analysis termed Extracellular Vesicle Array (EV Array), which is developed to catch and phenotypically characterize small EVs. Previously, this analysis has been limited to measuring only one fluorescent signal per analysis. The analysis relies on antibodies printed onto a solid surface, for catching the EVs carrying the specific surface or surface-associated proteins, and on the subsequent fluorescent detection. For the optimization of detection, two antibodies with attached Cy3 or Cy5 were added to various combinations of the EV surface or surface-associated proteins: CD9, CD63, CD81, flotillin-1, and HSP90. In this study, the EV surface or surface-associated proteins were analyzed in human plasma from six healthy subjects. Changes observed in signal intensities from Cy3 and Cy5 related specifically to these combinations and allowed for a comparison of the two different fluorescent signals. When comparing the results, it was observed that it is possible to measure the EV surface or surface-associated proteins at both 532 nm (Cy3) and 635 nm (Cy5) simultaneously without a significant change in signals from the detection molecules. This allows us to measure multiple EV marker proteins in a single analysis, thereby more quickly finding complex biomarker patterns in a sample. |
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AbstractList | Extracellular vesicles (EVs) have become a topic of interest within the field of diagnostic biomarkers; however, recent developments in the study of EVs have increased the need for simpler but still comprehensive methods for characterization. Here, we describe how to simultaneously measure several surface or surface-associated proteins on EVs using a multiparametric microarray-based analysis termed Extracellular Vesicle Array (EV Array), which is developed to catch and phenotypically characterize small EVs. Previously, this analysis has been limited to measuring only one fluorescent signal per analysis. The analysis relies on antibodies printed onto a solid surface, for catching the EVs carrying the specific surface or surface-associated proteins, and on the subsequent fluorescent detection. For the optimization of detection, two antibodies with attached Cy3 or Cy5 were added to various combinations of the EV surface or surface-associated proteins: CD9, CD63, CD81, flotillin-1, and HSP90. In this study, the EV surface or surface-associated proteins were analyzed in human plasma from six healthy subjects. Changes observed in signal intensities from Cy3 and Cy5 related specifically to these combinations and allowed for a comparison of the two different fluorescent signals. When comparing the results, it was observed that it is possible to measure the EV surface or surface-associated proteins at both 532 nm (Cy3) and 635 nm (Cy5) simultaneously without a significant change in signals from the detection molecules. This allows us to measure multiple EV marker proteins in a single analysis, thereby more quickly finding complex biomarker patterns in a sample. Extracellular vesicles (EVs) have become a topic of interest within the field of diagnostic biomarkers; however, recent developments in the study of EVs have increased the need for simpler but still comprehensive methods for characterization. Here, we describe how to simultaneously measure several surface or surface-associated proteins on EVs using a multiparametric microarray-based analysis termed Extracellular Vesicle Array (EV Array), which is developed to catch and phenotypically characterize small EVs. Previously, this analysis has been limited to measuring only one fluorescent signal per analysis. The analysis relies on antibodies printed onto a solid surface, for catching the EVs carrying the specific surface or surface-associated proteins, and on the subsequent fluorescent detection. For the optimization of detection, two antibodies with attached Cy3 or Cy5 were added to various combinations of the EV surface or surface-associated proteins: CD9, CD63, CD81, flotillin-1, and HSP90. In this study, the EV surface or surface-associated proteins were analyzed in human plasma from six healthy subjects. Changes observed in signal intensities from Cy3 and Cy5 related specifically to these combinations and allowed for a comparison of the two different fluorescent signals. When comparing the results, it was observed that it is possible to measure the EV surface or surface-associated proteins at both 532 nm (Cy3) and 635 nm (Cy5) simultaneously without a significant change in signals from the detection molecules. This allows us to measure multiple EV marker proteins in a single analysis, thereby more quickly finding complex biomarker patterns in a sample.Extracellular vesicles (EVs) have become a topic of interest within the field of diagnostic biomarkers; however, recent developments in the study of EVs have increased the need for simpler but still comprehensive methods for characterization. Here, we describe how to simultaneously measure several surface or surface-associated proteins on EVs using a multiparametric microarray-based analysis termed Extracellular Vesicle Array (EV Array), which is developed to catch and phenotypically characterize small EVs. Previously, this analysis has been limited to measuring only one fluorescent signal per analysis. The analysis relies on antibodies printed onto a solid surface, for catching the EVs carrying the specific surface or surface-associated proteins, and on the subsequent fluorescent detection. For the optimization of detection, two antibodies with attached Cy3 or Cy5 were added to various combinations of the EV surface or surface-associated proteins: CD9, CD63, CD81, flotillin-1, and HSP90. In this study, the EV surface or surface-associated proteins were analyzed in human plasma from six healthy subjects. Changes observed in signal intensities from Cy3 and Cy5 related specifically to these combinations and allowed for a comparison of the two different fluorescent signals. When comparing the results, it was observed that it is possible to measure the EV surface or surface-associated proteins at both 532 nm (Cy3) and 635 nm (Cy5) simultaneously without a significant change in signals from the detection molecules. This allows us to measure multiple EV marker proteins in a single analysis, thereby more quickly finding complex biomarker patterns in a sample. |
Author | Bæk, Rikke Jørgensen, Malene Møller Clegg, Lee-Ann Marie Sloth, Jenni Kathrine |
AuthorAffiliation | 2 Department of Clinical Medicine , Aalborg University , Aalborg , Denmark 1 Department of Clinical Immunology , Aalborg University Hospital , Aalborg , Denmark |
AuthorAffiliation_xml | – name: 1 Department of Clinical Immunology , Aalborg University Hospital , Aalborg , Denmark – name: 2 Department of Clinical Medicine , Aalborg University , Aalborg , Denmark |
Author_xml | – sequence: 1 givenname: Lee-Ann Marie surname: Clegg fullname: Clegg, Lee-Ann Marie – sequence: 2 givenname: Jenni Kathrine surname: Sloth fullname: Sloth, Jenni Kathrine – sequence: 3 givenname: Rikke surname: Bæk fullname: Bæk, Rikke – sequence: 4 givenname: Malene Møller surname: Jørgensen fullname: Jørgensen, Malene Møller |
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Cites_doi | 10.1080/20013078.2018.1535750 10.1073/pnas.1521230113 10.3390/cells9071601 10.3389/fimmu.2014.00442 10.3402/jev.v2i0.20920 10.1016/J.CLINTHERA.2014.05.008 10.1002/0471143030.cb1709s32 10.3402/jev.v4.26048 10.1016/bs.acc.2020.02.011 10.1002/JEV2.12140 10.3390/biomedicines9020124 10.3389/fbioe.2019.00452 10.1007/s00281-010-0233-9 10.1039/c7nr08360b 10.3390/polym13142368 10.3390/biom10060824 |
ContentType | Journal Article |
Copyright | Copyright © 2022 Clegg, Sloth, Bæk and Jørgensen. Copyright © 2022 Clegg, Sloth, Bæk and Jørgensen. 2022 Clegg, Sloth, Bæk and Jørgensen |
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Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Navnit Kumar Mishra, Chandigarh University, India Edited by: Dwijendra K. Gupta, Allahabad University, India Kaushlendra Tripathi, University of Alabama at Birmingham, United States This article was submitted to Cellular Biochemistry, a section of the journal Frontiers in Molecular Biosciences Reviewed by: Aleksander Czogalla, University of Wrocław, Poland |
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References | Jørgensen (B4) 2013; 2 Botha (B2) 2021; 9 Schou (B11) 2020; 99 Tóth (B15) 2021; 10 Zendrini (B16) 2020; 7 Andreu (B1) 2014; 5 Kowal (B7) 2016; 113 Serrano-Pertierra (B12) 2020; 10 Snapp (B13) 2006; 17 Revenfeld (B10) 2014; 36 Jørgensen (B5) 2015; 4 Mir (B8) 2020; 9 Chaput (B3) 2011; 33 Ramirez (B9) 2018; 10 Jørgensen (B6) 2021; 13 Théry (B14) 2018; 7 |
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