In this paper, we report the development of an on-chip aptamer-based fluorescence assay for protein detection and quantification based on sandwich ELISA principles. Thrombin was selected as a model analyte to validate the assay design, which involves two DNA thrombin aptamers recognizing two different epitopes of the protein. Aptamer-functionalized magnetic beads were utilized to capture the target analyte, while a second aptamer, functionalized with quantum dots, was employed for on-chip detection. The binding of thrombin to the two aptamers via sandwich assay was monitored by fluorescence microscopy. The sandwich assay was performed on disposable microfluidic devices, fabricated on double-sided tapes and polymeric materials using a laser cutting approach. The approach enabled rapid thrombin detection with high specificity. Experimental conditions, such as reagent consumption and incubation time, were optimized in the microchip platform for the lowest limit of detection, highest specificity, and shortest assay time. The analytical performance of the microchip based assay was compared to that in the well plate format (generally utilized for ELISA-based methodologies). The results show that microfluidic chip proved to be a rapid and efficient system for aptamer-based thrombin assays, requiring only minimal (microliter) reagent use. This work demonstrated the successful application of on-chip aptamer-based sandwich assays for detection of target proteins of biomedical importance.

Chinese hamster ovary cells (CHO) are the most common cell line used in the production of therapeutic proteins. Understanding the complex pattern of secreted host cell proteins (HCP) that are released by CHO cells will facilitate the development of new recombinant protein production processes. In this study, we have adapted the N-azido-galactosamine (GalNAz) metabolic labeling method to enable the mass spectrometry identification and quantification of secreted proteins in cell culture media. CHO DG44 and CHO-S cells were cultured in media containing GalNAz, which was metabolically incorporated into mucin-type O-linked glycans of secreted proteins. These proteins were effectively enriched using click-chemistry from the cell culture media, allowing for the analysis of secreted proteins across multiple days of cell growth. When compared to the standard method for secretome analysis, the GalNAz method not only increased the total number of proteins identified but dramatically improved the quality of data by decreasing the number of background proteins (cytosolic or nuclear) to essentially zero.

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