Quantitative proteomics analysis of adsorbed plasma proteins classifies nanoparticles with different surface properties and size

Nanoparticle biological activity, biocompatibility and fate can be directly affected by layers of readily adsorbed host proteins in biofluids. Here, we report a study on the interactions between human blood plasma proteins and nanoparticles with a controlled systematic variation of properties using...

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Veröffentlicht in:Proteomics 2011-12, Vol.11 (23), p.4569-4577
Hauptverfasser: Zhang, Haizhen, Burnum, Kristin E., Luna, Maria L., Petritis, Brianne O., Kim, Jong-Seo, Qian, Wei-Jun, Moore, Ronald J., Heredia-Langner, Alejandro, Webb-Robertson, Bobbie-Jo M., Thrall, Brian D., Camp II, David G., Smith, Richard D., Pounds, Joel G., Liu, Tao
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container_end_page 4577
container_issue 23
container_start_page 4569
container_title Proteomics
container_volume 11
creator Zhang, Haizhen
Burnum, Kristin E.
Luna, Maria L.
Petritis, Brianne O.
Kim, Jong-Seo
Qian, Wei-Jun
Moore, Ronald J.
Heredia-Langner, Alejandro
Webb-Robertson, Bobbie-Jo M.
Thrall, Brian D.
Camp II, David G.
Smith, Richard D.
Pounds, Joel G.
Liu, Tao
description Nanoparticle biological activity, biocompatibility and fate can be directly affected by layers of readily adsorbed host proteins in biofluids. Here, we report a study on the interactions between human blood plasma proteins and nanoparticles with a controlled systematic variation of properties using 18O‐labeling and LC‐MS‐based quantitative proteomics. We developed a novel protocol to both simplify isolation of nanoparticle bound proteins and improve reproducibility. LC‐MS analysis identified and quantified 88 human plasma proteins associated with polystyrene nanoparticles consisting of three different surface chemistries and two sizes, as well as, for four different exposure times (for a total of 24 different samples). Quantitative comparison of relative protein abundances was achieved by spiking an 18O‐labeled “universal” reference into each individually processed unlabeled sample as an internal standard, enabling simultaneous application of both label‐free and isotopic labeling quantification across the entire sample set. Clustering analysis of the quantitative proteomics data resulted in distinctive patterns that classified the nanoparticles based on their surface properties and size. In addition, temporal data indicated that the formation of the stable protein corona was at equilibrium within 5 min. The comprehensive quantitative proteomics results obtained in this study provide rich data for computational modeling and have potential implications towards predicting nanoparticle biocompatibility.
doi_str_mv 10.1002/pmic.201100037
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Here, we report a study on the interactions between human blood plasma proteins and nanoparticles with a controlled systematic variation of properties using 18O‐labeling and LC‐MS‐based quantitative proteomics. We developed a novel protocol to both simplify isolation of nanoparticle bound proteins and improve reproducibility. LC‐MS analysis identified and quantified 88 human plasma proteins associated with polystyrene nanoparticles consisting of three different surface chemistries and two sizes, as well as, for four different exposure times (for a total of 24 different samples). Quantitative comparison of relative protein abundances was achieved by spiking an 18O‐labeled “universal” reference into each individually processed unlabeled sample as an internal standard, enabling simultaneous application of both label‐free and isotopic labeling quantification across the entire sample set. Clustering analysis of the quantitative proteomics data resulted in distinctive patterns that classified the nanoparticles based on their surface properties and size. In addition, temporal data indicated that the formation of the stable protein corona was at equilibrium within 5 min. The comprehensive quantitative proteomics results obtained in this study provide rich data for computational modeling and have potential implications towards predicting nanoparticle biocompatibility.</description><identifier>ISSN: 1615-9853</identifier><identifier>ISSN: 1615-9861</identifier><identifier>EISSN: 1615-9861</identifier><identifier>DOI: 10.1002/pmic.201100037</identifier><identifier>PMID: 21956884</identifier><language>eng</language><publisher>Weinheim: WILEY-VCH Verlag</publisher><subject>60 APPLIED LIFE SCIENCES ; Adsorption ; Analysis of Variance ; Analytical, structural and metabolic biochemistry ; BASIC BIOLOGICAL SCIENCES ; Biocompatibility ; Biological and medical sciences ; BLOOD PLASMA ; Blood Proteins - analysis ; Blood Proteins - metabolism ; Chromatography, Liquid - methods ; Cluster Analysis ; Corona ; Environmental Molecular Sciences Laboratory ; Fundamental and applied biological sciences. Psychology ; Human plasma ; Humans ; interaction ; LABELLING ; LAYERS ; LC-MS ; LIQUID COLUMN CHROMATOGRAPHY ; mass spectrometry ; Mass Spectrometry - methods ; MASS SPECTROSCOPY ; Miscellaneous ; Nanoparticle ; Nanoparticles ; Nanoparticles - chemistry ; Nanoproteomics ; NANOSTRUCTURES ; O labeling ; Particle Size ; PARTICLES ; PLASMA ; POLYSTYRENE ; Polystyrenes - chemistry ; Protein Binding ; PROTEINS ; Proteomics ; Proteomics - methods ; Quantitation ; Quantitative proteomics ; SIZE ; STABLE ISOTOPES ; SURFACE PROPERTIES</subject><ispartof>Proteomics, 2011-12, Vol.11 (23), p.4569-4577</ispartof><rights>Copyright © 2011 WILEY‐VCH Verlag GmbH &amp; Co. KGaA, Weinheim</rights><rights>2015 INIST-CNRS</rights><rights>Copyright © 2011 WILEY-VCH Verlag GmbH &amp; Co. KGaA, Weinheim.</rights><rights>Copyright © 2011 WILEY-VCH Verlag GmbH &amp; Co. 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Clustering analysis of the quantitative proteomics data resulted in distinctive patterns that classified the nanoparticles based on their surface properties and size. In addition, temporal data indicated that the formation of the stable protein corona was at equilibrium within 5 min. The comprehensive quantitative proteomics results obtained in this study provide rich data for computational modeling and have potential implications towards predicting nanoparticle biocompatibility.</description><subject>60 APPLIED LIFE SCIENCES</subject><subject>Adsorption</subject><subject>Analysis of Variance</subject><subject>Analytical, structural and metabolic biochemistry</subject><subject>BASIC BIOLOGICAL SCIENCES</subject><subject>Biocompatibility</subject><subject>Biological and medical sciences</subject><subject>BLOOD PLASMA</subject><subject>Blood Proteins - analysis</subject><subject>Blood Proteins - metabolism</subject><subject>Chromatography, Liquid - methods</subject><subject>Cluster Analysis</subject><subject>Corona</subject><subject>Environmental Molecular Sciences Laboratory</subject><subject>Fundamental and applied biological sciences. 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Psychology</topic><topic>Human plasma</topic><topic>Humans</topic><topic>interaction</topic><topic>LABELLING</topic><topic>LAYERS</topic><topic>LC-MS</topic><topic>LIQUID COLUMN CHROMATOGRAPHY</topic><topic>mass spectrometry</topic><topic>Mass Spectrometry - methods</topic><topic>MASS SPECTROSCOPY</topic><topic>Miscellaneous</topic><topic>Nanoparticle</topic><topic>Nanoparticles</topic><topic>Nanoparticles - chemistry</topic><topic>Nanoproteomics</topic><topic>NANOSTRUCTURES</topic><topic>O labeling</topic><topic>Particle Size</topic><topic>PARTICLES</topic><topic>PLASMA</topic><topic>POLYSTYRENE</topic><topic>Polystyrenes - chemistry</topic><topic>Protein Binding</topic><topic>PROTEINS</topic><topic>Proteomics</topic><topic>Proteomics - methods</topic><topic>Quantitation</topic><topic>Quantitative proteomics</topic><topic>SIZE</topic><topic>STABLE ISOTOPES</topic><topic>SURFACE PROPERTIES</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Haizhen</creatorcontrib><creatorcontrib>Burnum, Kristin E.</creatorcontrib><creatorcontrib>Luna, Maria L.</creatorcontrib><creatorcontrib>Petritis, Brianne O.</creatorcontrib><creatorcontrib>Kim, Jong-Seo</creatorcontrib><creatorcontrib>Qian, Wei-Jun</creatorcontrib><creatorcontrib>Moore, Ronald J.</creatorcontrib><creatorcontrib>Heredia-Langner, Alejandro</creatorcontrib><creatorcontrib>Webb-Robertson, Bobbie-Jo M.</creatorcontrib><creatorcontrib>Thrall, Brian D.</creatorcontrib><creatorcontrib>Camp II, David G.</creatorcontrib><creatorcontrib>Smith, Richard D.</creatorcontrib><creatorcontrib>Pounds, Joel G.</creatorcontrib><creatorcontrib>Liu, Tao</creatorcontrib><creatorcontrib>Pacific Northwest National Laboratory (PNNL), Richland, WA (US), Environmental Molecular Sciences Laboratory (EMSL)</creatorcontrib><collection>Istex</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Calcium &amp; Calcified Tissue Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>OSTI.GOV</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Proteomics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Haizhen</au><au>Burnum, Kristin E.</au><au>Luna, Maria L.</au><au>Petritis, Brianne O.</au><au>Kim, Jong-Seo</au><au>Qian, Wei-Jun</au><au>Moore, Ronald J.</au><au>Heredia-Langner, Alejandro</au><au>Webb-Robertson, Bobbie-Jo M.</au><au>Thrall, Brian D.</au><au>Camp II, David G.</au><au>Smith, Richard D.</au><au>Pounds, Joel G.</au><au>Liu, Tao</au><aucorp>Pacific Northwest National Laboratory (PNNL), Richland, WA (US), Environmental Molecular Sciences Laboratory (EMSL)</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Quantitative proteomics analysis of adsorbed plasma proteins classifies nanoparticles with different surface properties and size</atitle><jtitle>Proteomics</jtitle><addtitle>Proteomics</addtitle><date>2011-12</date><risdate>2011</risdate><volume>11</volume><issue>23</issue><spage>4569</spage><epage>4577</epage><pages>4569-4577</pages><issn>1615-9853</issn><issn>1615-9861</issn><eissn>1615-9861</eissn><abstract>Nanoparticle biological activity, biocompatibility and fate can be directly affected by layers of readily adsorbed host proteins in biofluids. Here, we report a study on the interactions between human blood plasma proteins and nanoparticles with a controlled systematic variation of properties using 18O‐labeling and LC‐MS‐based quantitative proteomics. We developed a novel protocol to both simplify isolation of nanoparticle bound proteins and improve reproducibility. LC‐MS analysis identified and quantified 88 human plasma proteins associated with polystyrene nanoparticles consisting of three different surface chemistries and two sizes, as well as, for four different exposure times (for a total of 24 different samples). Quantitative comparison of relative protein abundances was achieved by spiking an 18O‐labeled “universal” reference into each individually processed unlabeled sample as an internal standard, enabling simultaneous application of both label‐free and isotopic labeling quantification across the entire sample set. Clustering analysis of the quantitative proteomics data resulted in distinctive patterns that classified the nanoparticles based on their surface properties and size. In addition, temporal data indicated that the formation of the stable protein corona was at equilibrium within 5 min. The comprehensive quantitative proteomics results obtained in this study provide rich data for computational modeling and have potential implications towards predicting nanoparticle biocompatibility.</abstract><cop>Weinheim</cop><pub>WILEY-VCH Verlag</pub><pmid>21956884</pmid><doi>10.1002/pmic.201100037</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record>
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subjects 60 APPLIED LIFE SCIENCES
Adsorption
Analysis of Variance
Analytical, structural and metabolic biochemistry
BASIC BIOLOGICAL SCIENCES
Biocompatibility
Biological and medical sciences
BLOOD PLASMA
Blood Proteins - analysis
Blood Proteins - metabolism
Chromatography, Liquid - methods
Cluster Analysis
Corona
Environmental Molecular Sciences Laboratory
Fundamental and applied biological sciences. Psychology
Human plasma
Humans
interaction
LABELLING
LAYERS
LC-MS
LIQUID COLUMN CHROMATOGRAPHY
mass spectrometry
Mass Spectrometry - methods
MASS SPECTROSCOPY
Miscellaneous
Nanoparticle
Nanoparticles
Nanoparticles - chemistry
Nanoproteomics
NANOSTRUCTURES
O labeling
Particle Size
PARTICLES
PLASMA
POLYSTYRENE
Polystyrenes - chemistry
Protein Binding
PROTEINS
Proteomics
Proteomics - methods
Quantitation
Quantitative proteomics
SIZE
STABLE ISOTOPES
SURFACE PROPERTIES
title Quantitative proteomics analysis of adsorbed plasma proteins classifies nanoparticles with different surface properties and size
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