2018年9月
Purification-Free MicroRNA Detection by Using Magnetically Immobilized Nanopores on Liposome Membrane
ANALYTICAL CHEMISTRY
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- 巻
- 90
- 号
- 17
- 開始ページ
- 10217
- 終了ページ
- 10222
- 記述言語
- 英語
- 掲載種別
- 研究論文(学術雑誌)
- DOI
- 10.1021/acs.analchem.8b01443
- 出版者・発行元
- AMER CHEMICAL SOC
MicroRNAs have critical roles in a number of serious diseases and, as a result, are of major interest as clinical diagnostic targets. Conventionally, microRNAs are collected from blood and urine samples and are measured by either quantitative reverse-transcription polymerase chain reaction or microarray. Recently, nanopore sensing techniques have been applied for measuring microRNAs at the single-molecule level. However, existing techniques are technically complex, needing several tools and requiring purification and/or labeling of microRNA samples prior to use. Here we report a method for microRNA detection in a simple procedure requiring neither purification nor labeling. This system utilizes magnetic beads anchored with DNA and nanopores on a liposome membrane. In the presence of the target microRNA, it forms a duplex with complementary DNA, which is then cleaved by a duplex-specific nuclease (DSN). The cleaved DNA, which harbors a liposome on its terminus, is subsequently released from the magnetic bead, fuses to the lipid bilayer on chip, and emits an electrical signal derived from the formation of a nanopore. Because of a property of the DSN, the signals derived from microRNAs are expected to be amplified in an isothermal reaction. Our system possesses the specificity to detect target microRNAs from mixtures containing >10(6) different microRNA sequences and readily uses blood or urine samples. Although the limit of detection is above 10 nM and needs to be improved for practical diagnosis, because purification and labeling are not required, the presented system proposes a possible schematic for the development of easy and on-site diagnosis.
- リンク情報
- ID情報
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- DOI : 10.1021/acs.analchem.8b01443
- ISSN : 0003-2700
- eISSN : 1520-6882
- PubMed ID : 30091903
- Web of Science ID : WOS:000444060600021