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

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

Beschreibung
Zusammenfassung:	© 2022 The Authors. Advanced Materials published by Wiley-VCH GmbH. 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
Beschreibung:	Date Completed 07.11.2022 Date Revised 07.11.2022 published: Print-Electronic Citation Status MEDLINE
ISSN:	1521-4095
DOI:	10.1002/adma.202206008