Literature DB >> 32988284

High-Throughput Amenable MALDI-MS Detection of RNA and DNA with On-Surface Analyte Enrichment Using Fluorous Partitioning.

Cole Emanuelson1, Nicholas Ankenbruck1, Alexander Deiters1, Marvin S Yu2.   

Abstract

High-throughput matrix-assisted laser desorption/ionization mass spectrometry (HT-MALDI-MS) has garnered considerable attention within the drug discovery industry as an information-rich alternative to assays using light-based detection methods. To date, these efforts have been primarily focused on assays using protein or peptide substrates. Methods for RNA or DNA analysis by HT-MALDI-MS have not been extensively reported due to the challenges associated with MALDI-MS of oligonucleotides, including the propensity to form multiple salt adducts, low ionization potential, and ease of fragmentation. The objective of this work was to develop a platform suitable for HT-MS analysis of RNA and DNA substrates that overcomes these hurdles by combining on-surface sample preparation with soft ionization. This has been accomplished through the selective immobilization of fluorous-tagged oligonucleotides on a fluorous-modified MS target plate, followed by on-surface enrichment, matrix addition, and direct laser desorption/ionization, a process dubbed fluorous HT-MS (F-HT-MS). The work has resulted in methods by which RNA and DNA substrates can be detected at nanomolar concentrations from a typical assay buffer system using procedures that are amenable to full automation. The protocols were applied to an miRNA biogenesis assay, demonstrating its potential for RNA processes and thereby filling a prominent gap in RNA drug discovery: the paucity of in vitro functional assays.

Entities:  

Keywords:  RNA assay; fluorous partitioning; high-throughput mass spectrometry; miRNA

Mesh:

Substances:

Year:  2020        PMID: 32988284      PMCID: PMC9014489          DOI: 10.1177/2472555220958391

Source DB:  PubMed          Journal:  SLAS Discov        ISSN: 2472-5552            Impact factor:   3.341


  44 in total

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