Nature Communications (Jul 2023)

Multiplexed RNA profiling by regenerative catalysis enables blood-based subtyping of brain tumors

  • Yan Zhang,
  • Chi Yan Wong,
  • Carine Z. J. Lim,
  • Qingchang Chen,
  • Zhonglang Yu,
  • Auginia Natalia,
  • Zhigang Wang,
  • Qing You Pang,
  • See Wee Lim,
  • Tze Ping Loh,
  • Beng Ti Ang,
  • Carol Tang,
  • Huilin Shao

DOI
https://doi.org/10.1038/s41467-023-39844-0
Journal volume & issue
Vol. 14, no. 1
pp. 1 – 14

Abstract

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Abstract Current technologies to subtype glioblastoma (GBM), the most lethal brain tumor, require highly invasive brain biopsies. Here, we develop a dedicated analytical platform to achieve direct and multiplexed profiling of circulating RNAs in extracellular vesicles for blood-based GBM characterization. The technology, termed ‘enzyme ZIF-8 complexes for regenerative and catalytic digital detection of RNA’ (EZ-READ), leverages an RNA-responsive transducer to regeneratively convert and catalytically enhance signals from rare RNA targets. Each transducer comprises hybrid complexes – protein enzymes encapsulated within metal organic frameworks – to configure strong catalytic activity and robust protection. Upon target RNA hybridization, the transducer activates directly to liberate catalytic complexes, in a target-recyclable manner; when partitioned within a microfluidic device, these complexes can individually catalyze strong chemifluorescence reactions for digital RNA quantification. The EZ-READ platform thus enables programmable and reliable RNA detection, across different-sized RNA subtypes (miRNA and mRNA), directly in sample lysates. When clinically evaluated, the EZ-READ platform established composite signatures for accurate blood-based GBM diagnosis and subtyping.