1. Rapid, deep and precise profiling of the plasma proteome with multi-nanoparticle protein corona.
- Author
-
Blume JE, Manning WC, Troiano G, Hornburg D, Figa M, Hesterberg L, Platt TL, Zhao X, Cuaresma RA, Everley PA, Ko M, Liou H, Mahoney M, Ferdosi S, Elgierari EM, Stolarczyk C, Tangeysh B, Xia H, Benz R, Siddiqui A, Carr SA, Ma P, Langer R, Farias V, and Farokhzad OC
- Subjects
- Adult, Aged, Aged, 80 and over, Blood Proteins chemistry, Carcinoma, Non-Small-Cell Lung blood, Chromatography, High Pressure Liquid methods, Diagnosis, Differential, Female, Healthy Volunteers, Humans, Lung Neoplasms blood, Male, Middle Aged, Nanoparticles chemistry, Pilot Projects, Protein Corona chemistry, Reproducibility of Results, Tandem Mass Spectrometry methods, Time Factors, Blood Proteins analysis, Carcinoma, Non-Small-Cell Lung diagnosis, Lung Neoplasms diagnosis, Protein Corona analysis, Proteomics methods
- Abstract
Large-scale, unbiased proteomics studies are constrained by the complexity of the plasma proteome. Here we report a highly parallel protein quantitation platform integrating nanoparticle (NP) protein coronas with liquid chromatography-mass spectrometry for efficient proteomic profiling. A protein corona is a protein layer adsorbed onto NPs upon contact with biofluids. Varying the physicochemical properties of engineered NPs translates to distinct protein corona patterns enabling differential and reproducible interrogation of biological samples, including deep sampling of the plasma proteome. Spike experiments confirm a linear signal response. The median coefficient of variation was 22%. We screened 43 NPs and selected a panel of 5, which detect more than 2,000 proteins from 141 plasma samples using a 96-well automated workflow in a pilot non-small cell lung cancer classification study. Our streamlined workflow combines depth of coverage and throughput with precise quantification based on unique interactions between proteins and NPs engineered for deep and scalable quantitative proteomic studies.
- Published
- 2020
- Full Text
- View/download PDF