کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5030812 | 1470932 | 2018 | 30 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Single-step, homogeneous and sensitive detection for microRNAs with dual-recognition steps based on luminescence resonance energy transfer (LRET) using upconversion nanoparticles
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
شیمی
شیمی آنالیزی یا شیمی تجزیه
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چکیده انگلیسی
A single-step, homogeneous and sensitive LRET assay is presented for the detection of miRNAs. The amplification-free assay provides a unique combination of high specificity with dual-recognition approach of different hybridization and ligation steps and preventing background auto-fluorescence in biological samples using upconversion nanoparticles (UCNPs) as signal-producing nanoprobes. The assay probe is composed of signal-producing unit (a pair of homogeneous upconversion luminescence resonance energy transfer (UC-LRET)-based oligonucleotides) and recognition unit (two adaptor oligonucleotides). In the presence of target miRNAs, the probe and target miRNAs leads to the formation of stable double-strands and semi-stable adaptor-miRNAs complexes with an adaptor nick. Ligation of the nick using ligase cause the formation of stable double-strands, resulting in UCNPs-to-dye UC-LRET for detection of the miRNAs with near-infrared radiation (980Â nm). Sensitive detection of miRNA-21 at concentrations of 200Â pM to 1.4Â nM and detection limits of 0.095Â nM with good precision of 3.9% (RSD) for seven repeated measurements of 500Â pM miRNAs demonstrate the feasibility of both high throughput and point-of-care clinical diagnostics. The homogeneous UC-LRET assay without any washing can be extended to the application in other important types of nucleic acid analysis.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Biosensors and Bioelectronics - Volume 100, 15 February 2018, Pages 475-481
Journal: Biosensors and Bioelectronics - Volume 100, 15 February 2018, Pages 475-481
نویسندگان
Dong Zhu, Zhao Yi Miao, Yue Hu, Xiao Jing Zhang,