xPlex

Name: xPlex
License: https://creativecommons.org/licenses/by-nc/4.0/legalcode

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Abstract/Contents

Abstract: Changes in metabolite concentrations are often more drastic than changes in gene and protein expression levels, and thus they could provide a highly sensitive measure of disease or therapeutic status. Multiplexed quantification of small molecules has been challenging due to high background signal, limited readout mechanisms, and signal cross-over. Here, we introduce an aptamer-based assay that quantifies small molecules with low background and high multiplexing capabilities by mapping small molecules to DNA aptamers for quantification via high throughput sequencing. In a proof-of-concept example, we show that we can quantify mixtures of small molecules via next generation sequencing, and that it is highly amenable for characterization of SELEX schemas in high-throughput.

Type of resource	Dataset, text
Publication date	November 29, 2023

Author	Newman, Sharon
Advisor	Soh, Tom

DOI	https://doi.org/10.25740/rg880ws3662
Location	https://purl.stanford.edu/rg880ws3662

Use and reproduction: User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
License: This work is licensed under a Creative Commons Attribution Non Commercial 4.0 International license (CC BY-NC).

Preferred citation: Newman, S. and Soh, T. (2023). xPlex. Stanford Digital Repository. Available at https://purl.stanford.edu/rg880ws3662. https://doi.org/10.25740/rg880ws3662.

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