Enhanced Competition at the Nano-Bio Interface Enables Comprehensive Characterization of Protein Corona Dynamics and Deep Coverage of Proteomes

Enhanced Competition at the Nano-Bio Interface Enables Comprehensive Characterization of Protein Corona Dynamics and Deep Coverage of Proteomes

© 2022 The Authors. Advanced Materials published by Wiley-VCH GmbH.

Bibliographische Detailangaben
Veröffentlicht in:Advanced materials (Deerfield Beach, Fla.). - 1998. - 34(2022), 44 vom: 01. Nov., Seite e2206008
1. Verfasser: Ferdosi, Shadi (VerfasserIn)
Weitere Verfasser: Stukalov, Alexey, Hasan, Moaraj, Tangeysh, Behzad, Brown, Tristan R, Wang, Tianyu, Elgierari, Eltaher M, Zhao, Xiaoyan, Huang, Yingxiang, Alavi, Amir, Lee-McMullen, Brittany, Chu, Jessica, Figa, Mike, Tao, Wei, Wang, Jian, Goldberg, Martin, O'Brien, Evan S, Xia, Hongwei, Stolarczyk, Craig, Weissleder, Ralph, Farias, Vivek, Batzoglou, Serafim, Siddiqui, Asim, Farokhzad, Omid C, Hornburg, Daniel
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2022
Zugriff auf das übergeordnete Werk:Advanced materials (Deerfield Beach, Fla.)
Schlagworte:Journal Article Vroman effect machine learning nano-bio interactions nanoparticles protein corona proteomics Protein Corona Proteome
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245 1 0 |a Enhanced Competition at the Nano-Bio Interface Enables Comprehensive Characterization of Protein Corona Dynamics and Deep Coverage of Proteomes 
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520 |a Introducing engineered nanoparticles (NPs) into a biofluid such as blood plasma leads to the formation of a selective and reproducible protein corona at the particle-protein interface, driven by the relationship between protein-NP affinity and protein abundance. This enables scalable systems that leverage protein-nano interactions to overcome current limitations of deep plasma proteomics in large cohorts. Here the importance of the protein to NP-surface ratio (P/NP) is demonstrated and protein corona formation dynamics are modeled, which determine the competition between proteins for binding. Tuning the P/NP ratio significantly modulates the protein corona composition, enhancing depth and precision of a fully automated NP-based deep proteomic workflow (Proteograph). By increasing the binding competition on engineered NPs, 1.2-1.7× more proteins with 1% false discovery rate are identified on the surface of each NP, and up to 3× more proteins compared to a standard plasma proteomics workflow. Moreover, the data suggest P/NP plays a significant role in determining the in vivo fate of nanomaterials in biomedical applications. Together, the study showcases the importance of P/NP as a key design element for biomaterials and nanomedicine in vivo and as a powerful tuning strategy for accurate, large-scale NP-based deep proteomic studies 
650 4 |a Journal Article 
650 4 |a Vroman effect 
650 4 |a machine learning 
650 4 |a nano-bio interactions 
650 4 |a nanoparticles 
650 4 |a protein corona 
650 4 |a proteomics 
650 7 |a Protein Corona  |2 NLM 
650 7 |a Proteome  |2 NLM 
700 1 |a Stukalov, Alexey  |e verfasserin  |4 aut 
700 1 |a Hasan, Moaraj  |e verfasserin  |4 aut 
700 1 |a Tangeysh, Behzad  |e verfasserin  |4 aut 
700 1 |a Brown, Tristan R  |e verfasserin  |4 aut 
700 1 |a Wang, Tianyu  |e verfasserin  |4 aut 
700 1 |a Elgierari, Eltaher M  |e verfasserin  |4 aut 
700 1 |a Zhao, Xiaoyan  |e verfasserin  |4 aut 
700 1 |a Huang, Yingxiang  |e verfasserin  |4 aut 
700 1 |a Alavi, Amir  |e verfasserin  |4 aut 
700 1 |a Lee-McMullen, Brittany  |e verfasserin  |4 aut 
700 1 |a Chu, Jessica  |e verfasserin  |4 aut 
700 1 |a Figa, Mike  |e verfasserin  |4 aut 
700 1 |a Tao, Wei  |e verfasserin  |4 aut 
700 1 |a Wang, Jian  |e verfasserin  |4 aut 
700 1 |a Goldberg, Martin  |e verfasserin  |4 aut 
700 1 |a O'Brien, Evan S  |e verfasserin  |4 aut 
700 1 |a Xia, Hongwei  |e verfasserin  |4 aut 
700 1 |a Stolarczyk, Craig  |e verfasserin  |4 aut 
700 1 |a Weissleder, Ralph  |e verfasserin  |4 aut 
700 1 |a Farias, Vivek  |e verfasserin  |4 aut 
700 1 |a Batzoglou, Serafim  |e verfasserin  |4 aut 
700 1 |a Siddiqui, Asim  |e verfasserin  |4 aut 
700 1 |a Farokhzad, Omid C  |e verfasserin  |4 aut 
700 1 |a Hornburg, Daniel  |e verfasserin  |4 aut 
773 0 8 |i Enthalten in  |t Advanced materials (Deerfield Beach, Fla.)  |d 1998  |g 34(2022), 44 vom: 01. Nov., Seite e2206008  |w (DE-627)NLM098206397  |x 1521-4095  |7 nnns 
773 1 8 |g volume:34  |g year:2022  |g number:44  |g day:01  |g month:11  |g pages:e2206008 
856 4 0 |u http://dx.doi.org/10.1002/adma.202206008  |3 Volltext 
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