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Rapid, deep and precise profiling of the plasma proteome with multi-nanoparticle protein corona

Large-scale, unbiased proteomics studies are constrained by the complexity of the plasma proteome. Here we report a highly parallel protein quantitation platform integrating nanoparticle (NP) protein coronas with liquid chromatography-mass spectrometry for efficient proteomic profiling. A protein co...

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Autores principales: Blume, John E., Manning, William C., Troiano, Gregory, Hornburg, Daniel, Figa, Michael, Hesterberg, Lyndal, Platt, Theodore L., Zhao, Xiaoyan, Cuaresma, Rea A., Everley, Patrick A., Ko, Marwin, Liou, Hope, Mahoney, Max, Ferdosi, Shadi, Elgierari, Eltaher M., Stolarczyk, Craig, Tangeysh, Behzad, Xia, Hongwei, Benz, Ryan, Siddiqui, Asim, Carr, Steven A., Ma, Philip, Langer, Robert, Farias, Vivek, Farokhzad, Omid C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7376165/
https://www.ncbi.nlm.nih.gov/pubmed/32699280
http://dx.doi.org/10.1038/s41467-020-17033-7
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author Blume, John E.
Manning, William C.
Troiano, Gregory
Hornburg, Daniel
Figa, Michael
Hesterberg, Lyndal
Platt, Theodore L.
Zhao, Xiaoyan
Cuaresma, Rea A.
Everley, Patrick A.
Ko, Marwin
Liou, Hope
Mahoney, Max
Ferdosi, Shadi
Elgierari, Eltaher M.
Stolarczyk, Craig
Tangeysh, Behzad
Xia, Hongwei
Benz, Ryan
Siddiqui, Asim
Carr, Steven A.
Ma, Philip
Langer, Robert
Farias, Vivek
Farokhzad, Omid C.
author_facet Blume, John E.
Manning, William C.
Troiano, Gregory
Hornburg, Daniel
Figa, Michael
Hesterberg, Lyndal
Platt, Theodore L.
Zhao, Xiaoyan
Cuaresma, Rea A.
Everley, Patrick A.
Ko, Marwin
Liou, Hope
Mahoney, Max
Ferdosi, Shadi
Elgierari, Eltaher M.
Stolarczyk, Craig
Tangeysh, Behzad
Xia, Hongwei
Benz, Ryan
Siddiqui, Asim
Carr, Steven A.
Ma, Philip
Langer, Robert
Farias, Vivek
Farokhzad, Omid C.
author_sort Blume, John E.
collection PubMed
description Large-scale, unbiased proteomics studies are constrained by the complexity of the plasma proteome. Here we report a highly parallel protein quantitation platform integrating nanoparticle (NP) protein coronas with liquid chromatography-mass spectrometry for efficient proteomic profiling. A protein corona is a protein layer adsorbed onto NPs upon contact with biofluids. Varying the physicochemical properties of engineered NPs translates to distinct protein corona patterns enabling differential and reproducible interrogation of biological samples, including deep sampling of the plasma proteome. Spike experiments confirm a linear signal response. The median coefficient of variation was 22%. We screened 43 NPs and selected a panel of 5, which detect more than 2,000 proteins from 141 plasma samples using a 96-well automated workflow in a pilot non-small cell lung cancer classification study. Our streamlined workflow combines depth of coverage and throughput with precise quantification based on unique interactions between proteins and NPs engineered for deep and scalable quantitative proteomic studies.
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spelling pubmed-73761652020-07-24 Rapid, deep and precise profiling of the plasma proteome with multi-nanoparticle protein corona Blume, John E. Manning, William C. Troiano, Gregory Hornburg, Daniel Figa, Michael Hesterberg, Lyndal Platt, Theodore L. Zhao, Xiaoyan Cuaresma, Rea A. Everley, Patrick A. Ko, Marwin Liou, Hope Mahoney, Max Ferdosi, Shadi Elgierari, Eltaher M. Stolarczyk, Craig Tangeysh, Behzad Xia, Hongwei Benz, Ryan Siddiqui, Asim Carr, Steven A. Ma, Philip Langer, Robert Farias, Vivek Farokhzad, Omid C. Nat Commun Article Large-scale, unbiased proteomics studies are constrained by the complexity of the plasma proteome. Here we report a highly parallel protein quantitation platform integrating nanoparticle (NP) protein coronas with liquid chromatography-mass spectrometry for efficient proteomic profiling. A protein corona is a protein layer adsorbed onto NPs upon contact with biofluids. Varying the physicochemical properties of engineered NPs translates to distinct protein corona patterns enabling differential and reproducible interrogation of biological samples, including deep sampling of the plasma proteome. Spike experiments confirm a linear signal response. The median coefficient of variation was 22%. We screened 43 NPs and selected a panel of 5, which detect more than 2,000 proteins from 141 plasma samples using a 96-well automated workflow in a pilot non-small cell lung cancer classification study. Our streamlined workflow combines depth of coverage and throughput with precise quantification based on unique interactions between proteins and NPs engineered for deep and scalable quantitative proteomic studies. Nature Publishing Group UK 2020-07-22 /pmc/articles/PMC7376165/ /pubmed/32699280 http://dx.doi.org/10.1038/s41467-020-17033-7 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Blume, John E.
Manning, William C.
Troiano, Gregory
Hornburg, Daniel
Figa, Michael
Hesterberg, Lyndal
Platt, Theodore L.
Zhao, Xiaoyan
Cuaresma, Rea A.
Everley, Patrick A.
Ko, Marwin
Liou, Hope
Mahoney, Max
Ferdosi, Shadi
Elgierari, Eltaher M.
Stolarczyk, Craig
Tangeysh, Behzad
Xia, Hongwei
Benz, Ryan
Siddiqui, Asim
Carr, Steven A.
Ma, Philip
Langer, Robert
Farias, Vivek
Farokhzad, Omid C.
Rapid, deep and precise profiling of the plasma proteome with multi-nanoparticle protein corona
title Rapid, deep and precise profiling of the plasma proteome with multi-nanoparticle protein corona
title_full Rapid, deep and precise profiling of the plasma proteome with multi-nanoparticle protein corona
title_fullStr Rapid, deep and precise profiling of the plasma proteome with multi-nanoparticle protein corona
title_full_unstemmed Rapid, deep and precise profiling of the plasma proteome with multi-nanoparticle protein corona
title_short Rapid, deep and precise profiling of the plasma proteome with multi-nanoparticle protein corona
title_sort rapid, deep and precise profiling of the plasma proteome with multi-nanoparticle protein corona
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7376165/
https://www.ncbi.nlm.nih.gov/pubmed/32699280
http://dx.doi.org/10.1038/s41467-020-17033-7
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