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...

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Main Authors: 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.
Format: Article
Language:English
Published: Cell Press 2019
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.
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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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