Single-Molecule Sensor for High-Confidence Detection of miRNA.
Single-Molecule Sensor for High-Confidence Detection of miRNA.
复制标题
单分子传感器,用于高信心检测miRNA。
DOI:
10.1021/acssensors.1c02748
复制
发表时间:
2022-04-22
期刊:
影响因子:
8.9
通讯作者:
Dhakal, Soma
中科院分区:
文献类型:
--
作者:
Wijesinghe, Kalani M.;Kanak, Mazhar A.;Harrell, J. Chuck;Dhakal, Soma
关键词:
MicroRNAs (miRNAs) play a crucial role in regulating gene expression and have been linked to many diseases. Therefore, sensitive and accurate detection of disease-linked miRNAs is vital to the emerging revolution in early diagnosis of diseases. While the detection of miRNAs is a challenge due to their intrinsic properties such as small size, high sequence similarity among miRNAs and low abundance in biological fluids, the majority of miRNA-detection strategies involve either target/signal amplification or involve complex sensing designs. In this study, we have developed and tested a DNA-based fluorescence resonance energy transfer (FRET) sensor that enables ultrasensitive detection of a miRNA biomarker (miRNA-342-3p) expressed by triple-negative breast cancer (TNBC) cells. The sensor shows a relatively low FRET state in the absence of a target, yet continuous FRET transitions between low- and high-FRET states in the presence of the target are observed. The sensor is highly specific, has a detection limit down to low femtomolar (fM) without having to amplify the target, and has a large dynamic range (3 orders of magnitude) extending to 300,000 fM. Using this strategy, we demonstrated that the sensor allows detection of miRNA-342-3p in the miRNA-extracts from cancer cell lines and TNBC patient-derived xenografts (PDX). Given the simple-to-design hybridization-based detection, the sensing platform developed here can be used to detect a wide range of miRNAs enabling early diagnosis and screening of other genetic disorders.
登录
查看更多内容
影响因子:
2.9
作者:
Chen J;Chen Z;Huang J;Chen F;Ye W;Ding G;Wang X
通讯作者:
Wang X
影响因子:
4.6
作者:
Kahraman M;Röske A;Laufer T;Fehlmann T;Backes C;Kern F;Kohlhaas J;Schrörs H;Saiz A;Zabler C;Ludwig N;Fasching PA;Strick R;Rübner M;Beckmann MW;Meese E;Keller A;Schrauder MG
通讯作者:
Schrauder MG
影响因子:
5.6
作者:
Holubekova V;Kolkova Z;Grendar M;Brany D;Dvorska D;Stastny I;Jagelkova M;Zelinova K;Samec M;Liskova A;Laucekova Z;Kudela E;Bobrovska M;Kalman M;Zubor P;Dankova Z
通讯作者:
Dankova Z
影响因子:
7.4
作者:
Fang, Chiew San;Kim, Kwang-sun;Yang, Haesik
通讯作者:
Yang, Haesik
影响因子:
37.3
作者:
Chang YY;Kuo WH;Hung JH;Lee CY;Lee YH;Chang YC;Lin WC;Shen CY;Huang CS;Hsieh FJ;Lai LC;Tsai MH;Chang KJ;Chuang EY
通讯作者:
Chuang EY