Methods for systematic identification of membrane proteins for specific capture of cancer-derived extracellular vesicles
Analysis of cancer-derived extracellular vesicles (EVs) in biofluids potentially provides a source of disease biomarkers. At present there is no procedure to systematically identify which antigens should be targeted to differentiate cancer-derived from normal host cell-derived EVs. Here, we propose...
Main Authors: | , , , , , , , , , , , , , , , , |
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Format: | Article |
Language: | English |
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Cell Press
2019
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Online Access: | http://psasir.upm.edu.my/id/eprint/81345/1/CANCER.pdf |
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author | Zaborowsk, Mikołaj Piotr Lee, Kyungheon Na, Young Jeong Sammarco, Alessandro Zhang, Xuan Iwanicki, Marcin Cheah, Pike See Lin, Hsing-Ying Zinter, Max Chou, Chung-Yu Fulci, Giulia Tannous, Bakhos A. Lai, Charles Pin-Kuang Birrer, Michael J. Weissleder, Ralph Lee, Hakho Breakefield, Xandra O. |
author_facet | Zaborowsk, Mikołaj Piotr Lee, Kyungheon Na, Young Jeong Sammarco, Alessandro Zhang, Xuan Iwanicki, Marcin Cheah, Pike See Lin, Hsing-Ying Zinter, Max Chou, Chung-Yu Fulci, Giulia Tannous, Bakhos A. Lai, Charles Pin-Kuang Birrer, Michael J. Weissleder, Ralph Lee, Hakho Breakefield, Xandra O. |
author_sort | Zaborowsk, Mikołaj Piotr |
collection | UPM |
description | Analysis of cancer-derived extracellular vesicles (EVs) in biofluids potentially provides a source of disease biomarkers. At present there is no procedure to systematically identify which antigens should be targeted to differentiate cancer-derived from normal host cell-derived EVs. Here, we propose a computational framework that integrates information about membrane proteins in tumors and normal tissues from databases: UniProt, The Cancer Genome Atlas, the Genotype-Tissue Expression Project, and the Human Protein Atlas. We developed two methods to assess capture of EVs from specific cell types. (1) We used palmitoylated fluorescent protein (palmtdTomato) to label tumor-derived EVs. Beads displaying antibodies of interest were incubated with conditioned medium from palmtdTomato-expressing cells. Bound EVs were quantified using flow cytometry. (2) We also showed that membrane-bound Gaussia luciferase allows the detection of cancer-derived EVs in blood of tumor-bearing animals. Our analytical and validation platform should be applicable to identify antigens on EVs from any tumor type. |
first_indexed | 2024-03-06T10:29:49Z |
format | Article |
id | upm.eprints-81345 |
institution | Universiti Putra Malaysia |
language | English |
last_indexed | 2024-03-06T10:29:49Z |
publishDate | 2019 |
publisher | Cell Press |
record_format | dspace |
spelling | upm.eprints-813452021-06-13T23:19:24Z http://psasir.upm.edu.my/id/eprint/81345/ Methods for systematic identification of membrane proteins for specific capture of cancer-derived extracellular vesicles Zaborowsk, Mikołaj Piotr Lee, Kyungheon Na, Young Jeong Sammarco, Alessandro Zhang, Xuan Iwanicki, Marcin Cheah, Pike See Lin, Hsing-Ying Zinter, Max Chou, Chung-Yu Fulci, Giulia Tannous, Bakhos A. Lai, Charles Pin-Kuang Birrer, Michael J. Weissleder, Ralph Lee, Hakho Breakefield, Xandra O. Analysis of cancer-derived extracellular vesicles (EVs) in biofluids potentially provides a source of disease biomarkers. At present there is no procedure to systematically identify which antigens should be targeted to differentiate cancer-derived from normal host cell-derived EVs. Here, we propose a computational framework that integrates information about membrane proteins in tumors and normal tissues from databases: UniProt, The Cancer Genome Atlas, the Genotype-Tissue Expression Project, and the Human Protein Atlas. We developed two methods to assess capture of EVs from specific cell types. (1) We used palmitoylated fluorescent protein (palmtdTomato) to label tumor-derived EVs. Beads displaying antibodies of interest were incubated with conditioned medium from palmtdTomato-expressing cells. Bound EVs were quantified using flow cytometry. (2) We also showed that membrane-bound Gaussia luciferase allows the detection of cancer-derived EVs in blood of tumor-bearing animals. Our analytical and validation platform should be applicable to identify antigens on EVs from any tumor type. Cell Press 2019-04 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/81345/1/CANCER.pdf Zaborowsk, Mikołaj Piotr and Lee, Kyungheon and Na, Young Jeong and Sammarco, Alessandro and Zhang, Xuan and Iwanicki, Marcin and Cheah, Pike See and Lin, Hsing-Ying and Zinter, Max and Chou, Chung-Yu and Fulci, Giulia and Tannous, Bakhos A. and Lai, Charles Pin-Kuang and Birrer, Michael J. and Weissleder, Ralph and Lee, Hakho and Breakefield, Xandra O. (2019) Methods for systematic identification of membrane proteins for specific capture of cancer-derived extracellular vesicles. Cell Reports, 27 (1). pp. 255-268. ISSN 2211-1247 https://www.sciencedirect.com/science/article/pii/S2211124719303109 10.1016/j.celrep.2019.03.003 |
spellingShingle | Zaborowsk, Mikołaj Piotr Lee, Kyungheon Na, Young Jeong Sammarco, Alessandro Zhang, Xuan Iwanicki, Marcin Cheah, Pike See Lin, Hsing-Ying Zinter, Max Chou, Chung-Yu Fulci, Giulia Tannous, Bakhos A. Lai, Charles Pin-Kuang Birrer, Michael J. Weissleder, Ralph Lee, Hakho Breakefield, Xandra O. Methods for systematic identification of membrane proteins for specific capture of cancer-derived extracellular vesicles |
title | Methods for systematic identification of membrane proteins for specific capture of cancer-derived extracellular vesicles |
title_full | Methods for systematic identification of membrane proteins for specific capture of cancer-derived extracellular vesicles |
title_fullStr | Methods for systematic identification of membrane proteins for specific capture of cancer-derived extracellular vesicles |
title_full_unstemmed | Methods for systematic identification of membrane proteins for specific capture of cancer-derived extracellular vesicles |
title_short | Methods for systematic identification of membrane proteins for specific capture of cancer-derived extracellular vesicles |
title_sort | methods for systematic identification of membrane proteins for specific capture of cancer derived extracellular vesicles |
url | http://psasir.upm.edu.my/id/eprint/81345/1/CANCER.pdf |
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