QCM sensing of multivalent interactions between lectins and well-defined glycosylated nanoplatforms.

Quartz crystal microbalance (QCM) methodology has been adopted to unravel important factors contributing to the "cluster glycoside effect" observed in carbohydrate-lectin interactions. Well-defined, glycosylated nanostructures of precise sizes, geometries and functionalization patterns were designed and synthesized, and applied to analysis of the interaction kinetics and thermodynamics with immobilized lectins. The nanostructures were based on Borromean rings, dodecaamine cages, and fullerenes, each of which carrying a defined number of carbohydrate ligands at precise locations. The synthesis of the Borromeates and dodecaamine cages was easily adjustable due to the modular assembly of the structures, resulting in variations in presentation mode. The binding properties of the glycosylated nanoplatforms were evaluated using flow-through QCM technology, as well as hemagglutination inhibition assays, and compared with dodecaglycosylated fullerenes and a monovalent reference. With the QCM setup, the association and dissociation rate constants and the associated equilibrium constants of the interactions could be estimated, and the results used to delineate the multivalency effects of the lectin-nanostructure interactions.

Label-Free Cell-Based Assay for Characterization of Biomolecules and Receptors.

We present a method to study the interaction between biomolecules and receptors present on the cell surface. This enables studies of molecular interactions in a natural biological context. As the analyte interacts with the receptors still intact on the cell surface, the experimental data provides complete dynamics and complexity of the interaction, thereby generating highly informative data. Attana's cell-based biosensor platform can be used to obtain this information from a diverse range of interactions as described in these protocols, which detail how to grow or capture cells on a surface, how to stabilize and visualize the cells on the surface, and how to set up assays to measure detailed interaction kinetics directly on the cell surface.

Reliable Strategy for Analysis of Complex Biosensor Data.

When using biosensors, analyte biomolecules of several different concentrations are percolated over a chip with immobilized ligand molecules that form complexes with analytes. However, in many cases of biological interest, e.g., in antibody interactions, complex formation steady-state is not reached. The data measured are so-called sensorgram, one for each analyte concentration, with total complex concentration vs time. Here we present a new four-step strategy for more reliable processing of this complex kinetic binding data and compare it with the standard global fitting procedure. In our strategy, we first calculate a dissociation graph to reveal if there are any heterogeneous interactions. Thereafter, a new numerical algorithm, AIDA, is used to get the number of different complex formation reactions for each analyte concentration level. This information is then used to estimate the corresponding complex formation rate constants by fitting to the measured sensorgram one by one. Finally, all estimated rate constants are plotted and clustered, where each cluster represents a complex formation. Synthetic and experimental data obtained from three different QCM biosensor experimental systems having fast (close to steady-state), moderate, and slow kinetics (far from steady-state) were evaluated using the four-step strategy and standard global fitting. The new strategy allowed us to more reliably estimate the number of different complex formations, especially for cases of complex and slow dissociation kinetics. Moreover, the new strategy proved to be more robust as it enables one to handle system drift, i.e., data from biosensor chips that deteriorate over time.

Temperature effect on the complex formation between Pluronic F127 and starch.

In this study a systematic investigation of the temperature effect on the interactions between Pluronic F127 and hydroxypropylated oxidised potato starch by surface tension titrations and quartz crystal microbalance (QCM) analysis is presented. The binary mixture examined was subjected to 20°C and 30°C and the results indicated no presence of binary complexes at the lower temperature. However, at elevated temperature, an ability for inclusion complex formation was detected by the here used independent techniques. The formed inclusion complexes at 30°C are presumably a product of hydrophobic interaction between Pluronic F127 and starch, where starch acts as a host molecule and Pluronic F127 due to its increased hydrophobicity is the guest molecule in this complex.