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DOI 10.1016/j.bios.2022.115053

Медицинская библиотека · Biosensors & bioelectronics · 2022

Ultrasensitive and multiplexed miRNA detection system with DNA-PAINT.

Kocabey Samet, Chiarelli Germán, Acuna Guillermo P, Ruegg Curzio

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Аннотация

MiRNAs hold great potential as biomarkers for the early detection and monitoring of diseases based on their differential expression profiles. Therefore, the sensitive, specific and accurate detection of miRNAs represents an emerging new tool to improve diagnosis and treatment of several diseases, cancer in particular. DNA origami-based miRNA detection is particularly advantageous as it allows to incorporate multiple attachment sites to capture different target miRNAs at the nanoscale. In this work, we present a DNA origami nanoarray system providing distance-dependent recognition of miRNAs by applying super-resolution microscopy technique; DNA-PAINT (point accumulation for imaging in nanoscale topography). The sensor can detect up to 4 miRNAs either separately or in combination based on the relative distance to the boundary markers on the structure using a single imager strand. The detection is highly sensitive, with a limit of detection down to the low femtomolar range (11 fM - 388 fM) and has a large dynamic range up to 10 nM without need for amplification. Moreover, our detection system can discriminate single base mismatches with low false positive rates. Using our strategy, we demonstrate the detection of endogenous miRNAs from cell extracts of cancer cell lines and plasma from breast cancer patients. Overall, we developed an ultrasensitive and amplification-free, DNA-PAINT imaging-based miRNA detection method using DNA origami nanoarray system for the detection of breast-cancer associated miRNAs which potentially provides a sensitive and accurate alternative to the current multiplexed diagnostic technologies.

Для цитирования: Kocabey Samet, Chiarelli Germán, Acuna Guillermo P, Ruegg Curzio. Ultrasensitive and multiplexed miRNA detection system with DNA-PAINT.. Biosensors & bioelectronics. 2022. DOI: 10.1016/j.bios.2022.115053.

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