journal article·2022-11Open access

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

Shadi Ferdosi, Alexey Stukalov, Moaraj Hasan, Behzad Tangeysh, Tristan R. Brown, Tianyu Wang, Eltaher M. Elgierari, Xiaoyan Zhao, Yingxiang Huang, Amir Alavi, Brittany Lee‐McMullen, Jessica Chu, Mike Figa, Wei Tao, Jian Wang, Martin Goldberg, Evan S. O'Brien, Hongwei Xia, Craig Stolarczyk, Ralph Weissleder, Vivek Farias, Serafim Batzoglou, Asim Siddiqui, Omid C. Farokhzad, Daniel Hornburg

Advanced Materials· Volume 34· Issue 44

Abstract

Abstract 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.
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Research context

OpenAlex topics: Advanced Proteomics Techniques and Applications · Advanced Biosensing Techniques and Applications · Advanced biosensing and bioanalysis techniques

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Seer, Inc. Redwood City CA 94065 USA

Center for Nanomedicine and Department of Anesthesiology Brigham and Women's Hospital Harvard Medical School Boston MA 02115 USA

Department of Systems Biology Harvard Medical School 200 Longwood Ave Boston MA 02115 USA

Center for Systems Biology Massachusetts General Hospital 185 Cambridge St, CPZN 5206 Boston MA 02114 USA

Sloan School and Operations Research Center Massachusetts Institute of Technology Cambridge MA 02139 USA

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