Optimizing Dual Aptamer Binding Assays for C-Reactive Protein by Biostatistical Analysis, Three-Dimensional Molecular Simulations, and Selection on an Integrated Microfluidic Chip

The selection of aptamers with high binding affinity by using systematic evolution of ligands by exponential enrichment (SELEX) still remains a challenge. It commonly requires a tedious post-SELEX process to enhance affinity of screened aptamers. In this study, we reported a novel protocol that combined bioinformatics, molecular simulation and multiple regression analysis to identify critical parameters affecting affinity. We further utilized a new aptamer-immobilized integrated microfluidic chip to automate the characterization process and accurately validate the impact of these parameters on aptamer binding. This new approach may yield precise guidelines for aptamer selection.

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Published
2025-06-29
DOI
https://doi.org/10.1109/transducers61432.2025.11109322
Primary Topic
Adipokines, Inflammation, and Metabolic Diseases
Type
article
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article

Optimizing Dual Aptamer Binding Assays for C-Reactive Protein by Biostatistical Analysis, Three-Dimensional Molecular Simulations, and Selection on an Integrated Microfluidic Chip

Gwo‐Bin Lee, To-Wen Chen, Chih‐Hung Wang
Adipokines, Inflammation, and Metabolic Diseases
article

Optimizing Dual Aptamer Binding Assays for C-Reactive Protein by Biostatistical Analysis, Three-Dimensional Molecular Simulations, and Selection on an Integrated Microfluidic Chip

Gwo‐Bin Lee, To-Wen Chen, Chih‐Hung Wang
article en

Abstract

The selection of aptamers with high binding affinity by using systematic evolution of ligands by exponential enrichment (SELEX) still remains a challenge. It commonly requires a tedious post-SELEX process to enhance affinity of screened aptamers. In this study, we reported a novel protocol that combined bioinformatics, molecular simulation and multiple regression analysis to identify critical parameters affecting affinity. We further utilized a new aptamer-immobilized integrated microfluidic chip to automate the characterization process and accurately validate the impact of these parameters on aptamer binding. This new approach may yield precise guidelines for aptamer selection.

National Tsing Hua University (TW)
Openalex Percentile: Top 71%
Adipokines, Inflammation, and Metabolic Diseases
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