Kinase Sensing Based on Protein Interactions at the Catalytic Site

Biocatalysis versus Molecular Recognition in Sialoside-Selective Neuraminidase Biosensing

Sialic acid recognition and hydrolysis are essential parts of cellular function and pathogen infectivity. Neuraminidases are enzymes that detach sialic acid from sialosides, and their inhibition is a prime target for viral infection treatment. The connectivity and type of sialic acid influence the recognition and hydrolysis activity of the many different neuraminidases. The common strategies to evaluate neuraminidase activity, recognition, and inhibition rely on extensive labeling and require a large amount of sialylated glycans. The above limitations make the effort of finding viral inhibitors extremely difficult. We used synthetic sialylated glycans and developed a label-free electrochemical method to show that sialoside structural features lead to selective neuraminidase biosensing. We compared Neu5Ac to Neu5Gc sialosides to evaluate the organism-dependent neuraminidase selectivity-sensitivity relationship. We demonstrated that the type of surface and the glycan monolayer density direct the response to either binding or enzymatic activity. We proved that while the hydrophobic glassy carbon surface increases the interaction with the enzyme hydrophobic interface, the negatively charged interface of the lipoic acid monolayer on gold repels the protein and enables biocatalysis. We showed that the sialoside monolayers can serve as tools to evaluate the inhibition of neuraminidases both by biocatalysis and molecular recognition.

Using a Single Peptide to Electrochemically Sense Multiple Kinases

Kinases are responsible for regulating cellular and physiological processes, and abnormal kinase activity is associated with various diseases. Therefore, kinases are being used as biomarkers for disease and developing methods for their sensing is highly important. Usually more than one kinase is involved in phosphorylating a target protein. However, kinase detection methods usually detect the activity of only one specific kinase. Here we describe an electrochemical kinase sensing tool for the selective detection of two kinases using the same target peptide. We demonstrate the sensing of kinases ERK2 and PKCδ. This is based on a single sensing element, a peptide that contains two distinct phosphorylation sites of these two kinases. Reversibility experiments with alkaline phosphatase and reaction with the electrochemically active ferrocene-labeled ATP showed that the mechanism of sensing is by detecting the enzymatic phosphorylation. Our approach can be further utilized to develop devices for the detection of multiple kinases and can be expanded to other types of enzymes involved in disease.