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

protein aggregation protein oligomerization protein volume solid-state nanopore ß-lactoglobulin

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
22 Dec 2023
Historique:
received: 08 11 2023
revised: 11 12 2023
accepted: 15 12 2023
medline: 11 1 2024
pubmed: 11 1 2024
entrez: 11 1 2024
Statut: epublish

Résumé

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.

Identifiants

pubmed: 38202943
pii: s24010081
doi: 10.3390/s24010081
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : NHGRI NIH HHS
ID : R21 HG003290
Pays : United States

Auteurs

Mitu C Acharjee (MC)

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

Brad Ledden (B)

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

Brian Thomas (B)

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

Xianglan He (X)

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

Troy Messina (T)

Department of Chemistry and Chemical Biology, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA.
Department of Physics, Berea College, Berea, KY 40404, USA.

Jason Giurleo (J)

Department of Chemistry and Chemical Biology, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA.
Regeneron Pharmaceuticals, Tarrytown, NY 10591, USA.

David Talaga (D)

Department of Chemistry and Chemical Biology, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA.
Department of Chemistry, Sokol Institute, Montclair State University, Montclair, NJ 07043, USA.

Jiali Li (J)

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

Classifications MeSH