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Sensitive, rapid detection of NCOA4-m6A towards precisely quantifying radiation dosage on a Cas13a-Microdroplet platform.
Jin, Zhiyuan; Dong, Zaizai; Zhao, Xi; Hang, Xinxin; Lu, Yiming; Zhang, Qi; Chen, Hongxia; Huang, Zhaocun; Wang, Yusen; Zhou, Gangqiao; Chang, Lingqian.
Affiliation
  • Jin Z; Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191, China.
  • Dong Z; School of Engineering Medicine, Beihang University, Beijing, 100191, China. Electronic address: dongzaizai@buaa.edu.cn.
  • Zhao X; State Key Laboratory of Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, 100850, China.
  • Hang X; Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191, China.
  • Lu Y; State Key Laboratory of Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, 100850, China; School of Life Science, University of Hebei, Baoding, 071002, China.
  • Zhang Q; State Key Laboratory of Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, 100850, China; School of Medicine, University of South China, Hengyang, 421001, China.
  • Chen H; State Key Laboratory of Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, 100850, China.
  • Huang Z; Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191, China.
  • Wang Y; Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191, China.
  • Zhou G; State Key Laboratory of Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, 100850, China; School of Life Science, University of Hebei, Baoding, 071002, China; School of Medicine, University of South China,
  • Chang L; Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191, China; School of Biomedical Engineering, Research and Engineering Center of Biomedical Materials, Anhui Medical University, Hefei, 230032, China.
Biosens Bioelectron ; 242: 115753, 2023 Dec 15.
Article in En | MEDLINE | ID: mdl-37839351
ABSTRACT
Precise quantification of low-dose ionizing radiation is of great significance in protecting people from damage caused by clinical radiotherapy or environmental radiation. Traditional techniques for detecting radiation, however, remain extreme challenges to achieve high sensitivity and speed in quantifying radiation dosage. In this work, we report a Cas13a-Microdroplet platform that enables sensitive detection of ultra-low doses of radiation (0.5 Gy vs. 1 Gy traditional) within 1 h. The micro-platform adopts an ideal, specific radiation-sensitive marker, m6A on NCOA4 gene (NCOA4-m6A) that was first reported in our recent work. Microfluidics of the platform generate uniform microdroplets that encapsulate a CRISPR/Cas13a detection system and NCOA4-m6A target from the whole RNA extraction, achieving 10-fold enhancement in sensitivity and significantly reduced limit of detection (LOD). Systematic mouse models and clinical patient samples demonstrated its superior sensitivity and LOD (0.5 Gy) than traditional qPCR, which show wide potentials in radiation tracking and damage protection.
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Full text: 1 Database: MEDLINE Main subject: Biosensing Techniques Limits: Animals / Humans Language: En Year: 2023 Type: Article

Full text: 1 Database: MEDLINE Main subject: Biosensing Techniques Limits: Animals / Humans Language: En Year: 2023 Type: Article