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Unbiased Identification of the Liposome Protein Corona using Photoaffinity-based Chemoproteomics

[Image: see text] Protein adsorption to the surface of a nanoparticle can fundamentally alter the character, behavior, and fate of a nanoparticle in vivo. Current methods to capture the protein corona rely on physical separation techniques and are unable to resolve key, individual protein–nanopartic...

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Autores principales: Pattipeiluhu, Roy, Crielaard, Stefan, Klein-Schiphorst, Iris, Florea, Bogdan I., Kros, Alexander, Campbell, Frederick
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2020
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7181318/
https://www.ncbi.nlm.nih.gov/pubmed/32342003
http://dx.doi.org/10.1021/acscentsci.9b01222
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author Pattipeiluhu, Roy
Crielaard, Stefan
Klein-Schiphorst, Iris
Florea, Bogdan I.
Kros, Alexander
Campbell, Frederick
author_facet Pattipeiluhu, Roy
Crielaard, Stefan
Klein-Schiphorst, Iris
Florea, Bogdan I.
Kros, Alexander
Campbell, Frederick
author_sort Pattipeiluhu, Roy
collection PubMed
description [Image: see text] Protein adsorption to the surface of a nanoparticle can fundamentally alter the character, behavior, and fate of a nanoparticle in vivo. Current methods to capture the protein corona rely on physical separation techniques and are unable to resolve key, individual protein–nanoparticle interactions. As a result, the precise link between the “synthetic” and the “biological” identity of a nanoparticle remains unclear. Herein, we report an unbiased photoaffinity-based approach to capture, characterize, and quantify the protein corona of liposomes in their native state. Compared to conventional methods, our photoaffinity approach reveals markedly different interacting proteins as well as reduced total protein binding to liposome surfaces. Identified proteins do not follow protein abundancy patterns of human serum, as has been generally reported, but are instead dominated by soluble apolipoproteins–endogenous serum proteins that have evolved to recognize the lipidic surface of circulating lipoproteins. We believe our findings are the most accurate characterization of a liposome’s biological identity but, more fundamentally, reveal liposome–protein binding is, in many cases, significantly less complex than previously thought.
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spelling pubmed-71813182020-04-27 Unbiased Identification of the Liposome Protein Corona using Photoaffinity-based Chemoproteomics Pattipeiluhu, Roy Crielaard, Stefan Klein-Schiphorst, Iris Florea, Bogdan I. Kros, Alexander Campbell, Frederick ACS Cent Sci [Image: see text] Protein adsorption to the surface of a nanoparticle can fundamentally alter the character, behavior, and fate of a nanoparticle in vivo. Current methods to capture the protein corona rely on physical separation techniques and are unable to resolve key, individual protein–nanoparticle interactions. As a result, the precise link between the “synthetic” and the “biological” identity of a nanoparticle remains unclear. Herein, we report an unbiased photoaffinity-based approach to capture, characterize, and quantify the protein corona of liposomes in their native state. Compared to conventional methods, our photoaffinity approach reveals markedly different interacting proteins as well as reduced total protein binding to liposome surfaces. Identified proteins do not follow protein abundancy patterns of human serum, as has been generally reported, but are instead dominated by soluble apolipoproteins–endogenous serum proteins that have evolved to recognize the lipidic surface of circulating lipoproteins. We believe our findings are the most accurate characterization of a liposome’s biological identity but, more fundamentally, reveal liposome–protein binding is, in many cases, significantly less complex than previously thought. American Chemical Society 2020-04-01 2020-04-22 /pmc/articles/PMC7181318/ /pubmed/32342003 http://dx.doi.org/10.1021/acscentsci.9b01222 Text en Copyright © 2020 American Chemical Society This is an open access article published under a Creative Commons Non-Commercial No Derivative Works (CC-BY-NC-ND) Attribution License (http://pubs.acs.org/page/policy/authorchoice_ccbyncnd_termsofuse.html) , which permits copying and redistribution of the article, and creation of adaptations, all for non-commercial purposes.
spellingShingle Pattipeiluhu, Roy
Crielaard, Stefan
Klein-Schiphorst, Iris
Florea, Bogdan I.
Kros, Alexander
Campbell, Frederick
Unbiased Identification of the Liposome Protein Corona using Photoaffinity-based Chemoproteomics
title Unbiased Identification of the Liposome Protein Corona using Photoaffinity-based Chemoproteomics
title_full Unbiased Identification of the Liposome Protein Corona using Photoaffinity-based Chemoproteomics
title_fullStr Unbiased Identification of the Liposome Protein Corona using Photoaffinity-based Chemoproteomics
title_full_unstemmed Unbiased Identification of the Liposome Protein Corona using Photoaffinity-based Chemoproteomics
title_short Unbiased Identification of the Liposome Protein Corona using Photoaffinity-based Chemoproteomics
title_sort unbiased identification of the liposome protein corona using photoaffinity-based chemoproteomics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7181318/
https://www.ncbi.nlm.nih.gov/pubmed/32342003
http://dx.doi.org/10.1021/acscentsci.9b01222
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