Are Aptamers Really Promising as Receptors for Analytical Purposes? Insights into Anti-Lysozyme DNA Aptamers through a Multitechnique Study.


Journal

Analytical chemistry
ISSN: 1520-6882
Titre abrégé: Anal Chem
Pays: United States
ID NLM: 0370536

Informations de publication

Date de publication:
31 Jan 2024
Historique:
medline: 31 1 2024
pubmed: 31 1 2024
entrez: 31 1 2024
Statut: aheadofprint

Résumé

Aptamers are recognition elements increasingly used for the development of biosensing strategies, especially in the detection of proteins or small molecule targets. Lysozyme, which is recognized as an important biomarker for various diseases and a major allergenic protein found in egg whites, is one of the main analytical targets of aptamer-based biosensors. However, since aptamer-based strategies can be prone to artifacts and data misinterpretation, rigorous strategies for multifaceted characterization of the aptamer-target interaction are needed. In this work, a multitechnique approach has been devised to get further insights into the binding performance of the anti-lysozyme DNA aptamers commonly used in the literature. To study molecular interactions between lysozyme and different anti-lysozyme DNA aptamers, measurements based on a magneto-electrochemical apta-assay, circular dichroism spectroscopy, fluorescence spectroscopy, and asymmetrical flow field-flow fractionation were performed. The reliability and versatility of the approach were proved by investigating a SELEX-selected RNA aptamer reported in the literature, that acts as a positive control. The results confirmed that an interaction in the low micromolar range is present in the investigated binding buffers, and the binding is not associated with a conformational change of either the protein or the DNA aptamer. The similar behavior of the anti-lysozyme DNA aptamers compared to that of randomized sequences and polythymine, used as negative controls, showed nonsequence-specific interactions. This study demonstrates that severe testing of aptamers resulting from SELEX selection is the unique way to push these biorecognition elements toward reliable and reproducible results in the analytical field.

Identifiants

pubmed: 38294352
doi: 10.1021/acs.analchem.3c05883
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Lorenzo Toma (L)

Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parma 43124, Italy.

Monica Mattarozzi (M)

Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parma 43124, Italy.
Interdepartmental Center SITEIA.PARMA, University of Parma, Parma 43124, Italy.

Luca Ronda (L)

Department of Medicine and Surgery, University of Parma, Parma 43124, Italy.
CNR, Institute of Biophysics, Pisa 56124, Italy.

Valentina Marassi (V)

Department of Chemistry, University of Bologna, Via Selmi 2, Bologna 40126, Italy.
byFlow srl, Bologna 40126, Italy.
INBB, National Institute for Biostructures and Biosystems, Rome 00136 , Italy.

Andrea Zattoni (A)

Department of Chemistry, University of Bologna, Via Selmi 2, Bologna 40126, Italy.
byFlow srl, Bologna 40126, Italy.
INBB, National Institute for Biostructures and Biosystems, Rome 00136 , Italy.

Simone Fortunati (S)

Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parma 43124, Italy.
INBB, National Institute for Biostructures and Biosystems, Rome 00136 , Italy.

Marco Giannetto (M)

Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parma 43124, Italy.
Interdepartmental Center SITEIA.PARMA, University of Parma, Parma 43124, Italy.
INBB, National Institute for Biostructures and Biosystems, Rome 00136 , Italy.

Maria Careri (M)

Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parma 43124, Italy.
Interdepartmental Center SITEIA.PARMA, University of Parma, Parma 43124, Italy.
INBB, National Institute for Biostructures and Biosystems, Rome 00136 , Italy.

Classifications MeSH