Aptamers targeting protein-specific glycosylation in tumor biomarkers: general selection, characterization and structural modeling.

Chemical Science
Ana Díaz-FernándezMaría Jesús Lobo-Castañón

Abstract

Detecting specific protein glycoforms is attracting particular attention due to its potential to improve the performance of current cancer biomarkers. Although natural receptors such as lectins and antibodies have served as powerful tools for the detection of protein-bound glycans, the development of effective receptors able to integrate in the recognition both the glycan and peptide moieties is still challenging. Here we report a method for selecting aptamers toward the glycosylation site of a protein. It allows identification of an aptamer that binds with nM affinity to prostate-specific antigen, discriminating it from proteins with a similar glycosylation pattern. We also computationally predict the structure of the selected aptamer and characterize its complex with the glycoprotein by docking and molecular dynamics calculations, further supporting the binary recognition event. This study opens a new route for the identification of aptamers for the binary recognition of glycoproteins, useful for diagnostic and therapeutic applications.

References

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Citations

May 25, 2021·Biosensors & Bioelectronics·Hyeon Ji ParkTae Hyeon Yoo
Dec 9, 2020·Biosensors & Bioelectronics·Ana Díaz-FernándezPedro Estrela
Jun 7, 2021·Analytical and Bioanalytical Chemistry·Ramón Lorenzo-GómezMaría Jesús Lobo-Castañón
Aug 5, 2021·The FEBS Journal·Hans H WandallIeva Bagdonaite
Sep 3, 2021·Chemical Communications : Chem Comm·Siti Fatimah Abd RahmanConlathan Ibau

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Methods Mentioned

BETA
glycosylation
SELEX
PCR
circular dichroism
X-ray

Software Mentioned

COMPOSER
RNA
Autodock
mfold

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