Albumin Folding Changes Affect the Microfluidic Interfacial Broadening Revealed by Surface Plasmon Resonance

Abstract Understanding the conformation and diffusion behavior of proteins in biological fluids is crucial for advancements in conformational disease research. While several experimental techniques are available for probing protein conformations, they often come with limitations, such as the need for fluorophores or specific experimental conditions. Albumin, one of the most abundant proteins in the blood and used as a tear supplement in treating ocular surface disorders, plays a vital role as a transport protein, binding various ligands and facilitating their transport. However, the direct relationship between albumin conformation and diffusion coefficient ( D ) in water solutions remains unexplored. In this study, we describe a novel Surface Plasmon Resonance technique coupled with Stochastic Gillespie′s algorithm simulations to correlate albumin D values with its conformational states directly. Our findings demonstrate the feasibility of monitoring albumin conformational changes under different environmental conditions, as well as its degradation kinetics by trypsin, by analyzing its diffusion characteristics, presenting a promising avenue for advancing our understanding of conformational diseases.

Authors

Institutions

Publication Details

Journal
Chemistry - Methods
Published
2025-01-09
DOI
https://doi.org/10.1002/cmtd.202400034
Citations
4
Primary Topic
Protein Interaction Studies and Fluorescence Analysis
Type
article
Field-Weighted Citation Impact
3.22

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Albumin Folding Changes Affect the Microfluidic Interfacial Broadening Revealed by Surface Plasmon Resonance

Damiano Calcagno, Mariacristina Parravano, Nunzio Tuccitto, Antonino Licciardello et al.
4 citations
Chemistry - Methods
Protein Interaction Studies and Fluorescence Analysis
3.22
article

Albumin Folding Changes Affect the Microfluidic Interfacial Broadening Revealed by Surface Plasmon Resonance

Damiano Calcagno, Mariacristina Parravano, Nunzio Tuccitto, Antonino Licciardello, Alessia Distefano, Giuseppe Grasso, Maria Luisa Perina
article en
4 citations

Abstract

Abstract Understanding the conformation and diffusion behavior of proteins in biological fluids is crucial for advancements in conformational disease research. While several experimental techniques are available for probing protein conformations, they often come with limitations, such as the need for fluorophores or specific experimental conditions. Albumin, one of the most abundant proteins in the blood and used as a tear supplement in treating ocular surface disorders, plays a vital role as a transport protein, binding various ligands and facilitating their transport. However, the direct relationship between albumin conformation and diffusion coefficient ( D ) in water solutions remains unexplored. In this study, we describe a novel Surface Plasmon Resonance technique coupled with Stochastic Gillespie′s algorithm simulations to correlate albumin D values with its conformational states directly. Our findings demonstrate the feasibility of monitoring albumin conformational changes under different environmental conditions, as well as its degradation kinetics by trypsin, by analyzing its diffusion characteristics, presenting a promising avenue for advancing our understanding of conformational diseases.

Chemistry - MethodsVol. 5(3)
University of Catania (IT), Consorzio Interuniversitario per lo Sviluppo dei Sistemi a Grande Interfase (IT), Fondazione G.B. Bietti (IT), Istituti di Ricovero e Cura a Carattere Scientifico (IT)
Office of Dietary Supplements, Ministero dell’Istruzione, dell’Università e della Ricerca, Università di Catania, Fondazione Roma, National Institutes of Health, University of California, San Francisco
Clean water and sanitation
Openalex Percentile: Top 10%
Protein Interaction Studies and Fluorescence Analysis
3.22
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.