Crafting a streamlined isothermal amplification assay for sensitive and rapid nucleic acid detection of glioblastoma

  • Yu He Liu
  • , Yi Chien Chen
  • , Li Hsien Ho
  • , Zhi Yang Wei
  • , Chia Hung Chen
  • , Yun Hsien Chung
  • , I. Hsuan Chou
  • , Tao Yun Yen
  • , Wei Chun Lan
  • , Hsien Wen Yao
  • , Peng Wei Hsu*
  • , Chen Han Huang*
  • , Hsing Ying Lin*
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Development of liquid biopsies for non-invasive tumor characterization techniques shows a great promise for real-time monitoring of tumor recurrence, progression, and treatment response. To better assess the various tumor evolution, cellular heterogeneity, consequent drug-resistance mechanisms, it is critical to screen specific proteins and nucleic acids from biofluid-derived extracellular vesicles (EVs). We are developing a rapid integrated ultra-sensitive digital bead-based sensor enabling evaluation of molecular profiling of EVs in glioblastoma (GBM). The tumor relevant nucleic acid information in EVs is enriched by antibody-specific magnetic beads and amplified by reverse transcription recombinase polymerase amplification using the CRISPR/Cas13a system with around twenty-five thousand droplets. Detection results are analyzed by a miniaturized portable imaging device. The niches of our developing technique include: (a) the streamlined sample preparation process and miniaturized detection system enable the sensitive detection of important mRNAs, EGFR, EGFRvIII, IDH1wt, IDH1 R132H and GAPDH, in EVs within 1.5 hours; (b) the fluorescent signal-to-noise ratio (SNR) in each micrometer sized droplet is significantly enhanced via using a simple Cas13a assay and triggering greater than 104 turnovers of fluorescent reporters on a high-throughput microfluidic chip; (c) real-time image data are transferred to a cloud-based server and classified using several trained YOLOv5 models; (d) the RNAomics results are displayed on the Raspberry Pi touchscreen. This approach improves the speed of GBM diagnosis and treatment decision-making in using liquid biopsy.

Original languageEnglish
Title of host publicationBiomedical Imaging and Sensing Conference
EditorsToyohiko Yatagai
PublisherSPIE
ISBN (Electronic)9781510663435
DOIs
StatePublished - 2023
EventBiomedical Imaging and Sensing Conference 2023 - Yokohama, Japan
Duration: 17 04 202321 04 2023

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume12608
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceBiomedical Imaging and Sensing Conference 2023
Country/TerritoryJapan
CityYokohama
Period17/04/2321/04/23

Bibliographical note

Publisher Copyright:
© 2023 SPIE.

Keywords

  • Optical biopsy
  • extracellular vesicles
  • glioblastoma
  • isothermal amplification assay
  • liquid biopsy
  • mRNA
  • nucleic acid detection

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