Glycoform Differentiation by a Targeted, Self-Assembled, Pattern-Generating Protein Surface Sensor.

A method for generating targeted, pattern-generating, protein surface sensors via the self-assembly of modified oligodeoxynucleotides (ODNs) is described. The simplicity by which these systems can be created enabled the development of a sensor that can straightforwardly discriminate between distinct glycoform populations. By using this sensor to identify glycosylation states of a therapeutic protein, we demonstrate the diagnostic potential of this approach as well as the feasibility of integrating a wealth of supramolecular receptors and sensors into higher-order molecular analytical devices with advanced properties. For example, the facile device integration was used to attach the well-known anthracene-boronic acid (An-BA) probe to a biomimetic DNA scaffold and consequently, to use the unique photophysical properties of An-BA to improve glycoform differentiation. In addition, the noncovalent assembly enabled us to modify the sensor with a trinitrilotriacetic acid (tri-NTA)-Ni2+ complex, which endows it with selectivity toward a hexa-histidine tag (His-tag). The selective responses of the system to diverse His-tag-labeled proteins further demonstrate the potential applicability of such sensors and validate the mechanism underlying their function.

Targeted protein surface sensors as a tool for analyzing small populations of proteins in biological mixtures.

Optical cross-reactive sensor arrays (the so-called chemical "noses/tongues") have recently been demonstrated as a powerful tool for high-throughput protein detecting and analysis. Nevertheless, applying this technology to biomarker detection is complicated by the difficulty of non-selective sensors to operate in biological mixtures. Herein we demonstrate a step toward circumventing this limitation by using self-assembled fluorescent receptors consisting of two distinct recognition motifs: specific and non-specific. When combined in an array, binding cooperatively between the specific and non-specific protein binders enables the system to discriminate among closely related isoform biomarkers even in the presence of serum proteins or within human urine.

Protein recognition by a pattern-generating fluorescent molecular probe.

Fluorescent molecular probes have become valuable tools in protein research; however, the current methods for using these probes are less suitable for analysing specific populations of proteins in their native environment. In this study, we address this gap by developing a unimolecular fluorescent probe that combines the properties of small-molecule-based probes and cross-reactive sensor arrays (the so-called chemical 'noses/tongues'). On the one hand, the probe can detect different proteins by generating unique identification (ID) patterns, akin to cross-reactive arrays. On the other hand, its unimolecular scaffold and selective binding enable this ID-generating probe to identify combinations of specific protein families within complex mixtures and to discriminate among isoforms in living cells, where macroscopic arrays cannot access. The ability to recycle the molecular device and use it to track several binding interactions simultaneously further demonstrates how this approach could expand the fluorescent toolbox currently used to detect and image proteins.