Engineered nanoparticles enable deep proteomics studies at scale by leveraging tunable nano-bio interactions.

Autor: Ferdosi S; Seer, Inc., Redwood City, CA 94065., Tangeysh B; Seer, Inc., Redwood City, CA 94065., Brown TR; Seer, Inc., Redwood City, CA 94065., Everley PA; Seer, Inc., Redwood City, CA 94065., Figa M; Seer, Inc., Redwood City, CA 94065., McLean M; Seer, Inc., Redwood City, CA 94065., Elgierari EM; Seer, Inc., Redwood City, CA 94065., Zhao X; Seer, Inc., Redwood City, CA 94065., Garcia VJ; Seer, Inc., Redwood City, CA 94065., Wang T; Seer, Inc., Redwood City, CA 94065., Chang MEK; CEDAR Center, Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239-3098., Riedesel K; Seer, Inc., Redwood City, CA 94065., Chu J; Seer, Inc., Redwood City, CA 94065., Mahoney M; Seer, Inc., Redwood City, CA 94065., Xia H; Seer, Inc., Redwood City, CA 94065., O'Brien ES; Seer, Inc., Redwood City, CA 94065., Stolarczyk C; Seer, Inc., Redwood City, CA 94065., Harris D; Seer, Inc., Redwood City, CA 94065., Platt TL; Seer, Inc., Redwood City, CA 94065., Ma P; Seer, Inc., Redwood City, CA 94065., Goldberg M; Seer, Inc., Redwood City, CA 94065., Langer R; David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139., Flory MR; CEDAR Center, Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239-3098., Benz R; Seer, Inc., Redwood City, CA 94065., Tao W; Center for Nanomedicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115.; Department of Anesthesiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115., Cuevas JC; Seer, Inc., Redwood City, CA 94065., Batzoglou S; Seer, Inc., Redwood City, CA 94065., Blume JE; Seer, Inc., Redwood City, CA 94065., Siddiqui A; Seer, Inc., Redwood City, CA 94065., Hornburg D; Seer, Inc., Redwood City, CA 94065., Farokhzad OC; Seer, Inc., Redwood City, CA 94065.; Center for Nanomedicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115.; Department of Anesthesiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115.
Jazyk: angličtina
Zdroj: Proceedings of the National Academy of Sciences of the United States of America [Proc Natl Acad Sci U S A] 2022 Mar 15; Vol. 119 (11), pp. e2106053119. Date of Electronic Publication: 2022 Mar 11.
DOI: 10.1073/pnas.2106053119
Abstrakt: SignificanceDeep profiling of the plasma proteome at scale has been a challenge for traditional approaches. We achieve superior performance across the dimensions of precision, depth, and throughput using a panel of surface-functionalized superparamagnetic nanoparticles in comparison to conventional workflows for deep proteomics interrogation. Our automated workflow leverages competitive nanoparticle-protein binding equilibria that quantitatively compress the large dynamic range of proteomes to an accessible scale. Using machine learning, we dissect the contribution of individual physicochemical properties of nanoparticles to the composition of protein coronas. Our results suggest that nanoparticle functionalization can be tailored to protein sets. This work demonstrates the feasibility of deep, precise, unbiased plasma proteomics at a scale compatible with large-scale genomics enabling multiomic studies.
Databáze: MEDLINE
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