Aggregation and Oligomerization Characterization of ß-Lactoglobulin Protein Using a Solid-State Nanopore Sensor

Author:

Acharjee Mitu C.1,Ledden Brad1,Thomas Brian2,He Xianglan3,Messina Troy34,Giurleo Jason35,Talaga David36,Li Jiali12

Affiliation:

1. Material Science and Engineering, University of Arkansas, Fayetteville, AR 72701, USA

2. Department of Physics, University of Arkansas, Fayetteville, AR 72701, USA

3. Department of Chemistry and Chemical Biology, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA

4. Department of Physics, Berea College, Berea, KY 40404, USA

5. Regeneron Pharmaceuticals, Tarrytown, NY 10591, USA

6. Department of Chemistry, Sokol Institute, Montclair State University, Montclair, NJ 07043, USA

Abstract

Protein aggregation is linked to many chronic and devastating neurodegenerative human diseases and is strongly associated with aging. This work demonstrates that protein aggregation and oligomerization can be evaluated by a solid-state nanopore method at the single molecule level. A silicon nitride nanopore sensor was used to characterize both the amyloidogenic and native-state oligomerization of a model protein ß-lactoglobulin variant A (βLGa). The findings from the nanopore measurements are validated against atomic force microscopy (AFM) and dynamic light scattering (DLS) data, comparing βLGa aggregation from the same samples at various stages. By calibrating with linear and circular dsDNA, this study estimates the amyloid fibrils’ length and diameter, the quantity of the βLGa aggregates, and their distribution. The nanopore results align with the DLS and AFM data and offer additional insight at the level of individual protein molecular assemblies. As a further demonstration of the nanopore technique, βLGa self-association and aggregation at pH 4.6 as a function of temperature were measured at high (2 M KCl) and low (0.1 M KCl) ionic strength. This research highlights the advantages and limitations of using solid-state nanopore methods for analyzing protein aggregation.

Funder

Arkansas Bioscience Institute

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

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