Automated High-Throughput System Combining Small-Scale Synthesis with Bioassays and Reaction Screening. (December 2021)

• Record Type: Journal Article
• Authors: Morato, Nicolás M.; Le, MyPhuong T.; Holden, Dylan T.; Graham Cooks, R.
• Is Part Of: SLAS technology. Volume 26:Number 6(2021)
• Page Start: 555
• Page End: 571
• Publication Date: 2021-12
• Subjects: High-throughput screening -- desorption electrospray ionization -- mass spectrometry -- reaction screening -- enzymatic assay; Medical laboratory technology -- Periodicals; Laboratories -- Equipment and supplies -- Periodicals; Diagnosis, Laboratory -- Periodicals; 616.075
• DOI: 10.1177/24726303211047839
• Languages: English
• ISSNs: 2472-6303

Abstract

The Purdue Make It system is a unique automated platform capable of small-scale in situ synthesis, screening small-molecule reactions, and performing direct label-free bioassays. The platform is based on desorption electrospray ionization (DESI), an ambient ionization method that allows for minimal sample workup and is capable of accelerating reactions in secondary droplets, thus conferring unique advantages compared with other high-throughput screening technologies. By combining DESI with liquid handling robotics, the system achieves throughputs of more than 1 sample/s, handling up to 6144 samples in a single run. As little as 100 fmol/spot of analyte is required to perform both initial analysis by mass spectrometry (MS) and further MS n structural characterization. The data obtained are processed using custom software so that results are easily visualized as interactive heatmaps of reaction plates based on the peak intensities of m / z values of interest. In this paper, we review the system's capabilities as described in previous publications and demonstrate its utilization in two new high-throughput campaigns: (1) the screening of 188 unique combinatorial reactions (24 reaction types, 188 unique reaction mixtures) to determine reactivity trends and (2) label-free studies of the nicotinamide N -methyltransferase enzyme directly from the bioassay buffer. The system's versatility holds promise for several future directions, including the collection of secondary droplets containing the products from successful reaction screening measurements, the development of machine learning algorithms using data collected from compound library screening, and the adaption of a variety of relevant bioassays to high-throughput MS.