journal article·2017-08-09

Free-Energy-Driven Lock/Open Assembly-Based Optical DNA Sensor for Cancer-Related microRNA Detection with a Shortened Time-to-Result

Xiyu Zhu, Ruoyu Wang, Xiaohong Zhou, Hanchang Shi

Publisher page

Abstract

Quantification of cancer biomarker microRNAs (miRs) by exquisitely designed biosensors with a short time-to-result is of great clinical significance. With immobilized capture probes (CPs) and fluorescent-labeled signal probes (SPs), surface-involved sandwich-type (SST) biosensors serve as powerful tools for rapid, highly sensitive, and selective detection of miR in complex matrices as opposed to the conventional techniques. One key challenge for such SST biosensors is the existence of false-negative signals when the amount of miRs exceeds SPs in solution phase for a surface with a limited number of CP. To meet this challenge, a dynamic lock/open DNA assembly was designed to rationally program the pathway for miR/SP hybrids. Based on secondary structure analysis and free-energy assessment, a "locker" strand that partially hybridizes with target miR by two separated short arms was designed to stabilize target miR, preventing possible false-negative signals. The strategy was demonstrated on a fiber-based fluorescent DNA-sensing platform. CP/miR/SP sandwiches formed on the fiber surface would generate fluorescent signals for quantitative analysis. The developed SST biosensor was able to detect miR Hsa let-7a with a detection limit of 24 pM. The applicability of this free-energy-driven lock/open assembly-based optical DNA sensor was further confirmed with spiked human urine and serum samples.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advanced biosensing and bioanalysis techniques · RNA Interference and Gene Delivery · Biosensors and Analytical Detection

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

State Key Joint Laboratory of ESPC, Center for Sensor Technology of Environment and Health, School of Environment, Tsinghua University, Beijing 100084, China

Funding

National Natural Science Foundation of China · Special fund of State Key Joint Laboratory of Environment Simulation and Pollution Control

References (31)

Show source-provided references
1. 10.2147/NSA.S1346510.2147/NSA.S13465 ↗
2. 10.1016/j.drudis.2012.10.00210.1016/j.drudis.2012.10.002 ↗
3. 10.1093/bioinformatics/btt01410.1093/bioinformatics/btt014 ↗
4. 10.1039/c3an01677c10.1039/c3an01677c ↗
5. 10.1016/j.jelechem.2015.10.01010.1016/j.jelechem.2015.10.010 ↗
6. 10.1021/ac102131s10.1021/ac102131s ↗
7. 10.1002/anie.20100171210.1002/anie.201001712 ↗
8. 10.1016/j.bios.2008.12.03510.1016/j.bios.2008.12.035 ↗
9. 10.1021/ja001215b10.1021/ja001215b ↗
10. 10.1088/0960-1317/20/7/07501510.1088/0960-1317/20/7/075015 ↗
11. 10.1039/b106343j10.1039/b106343j ↗
12. 10.1016/0019-2791(71)90454-X10.1016/0019-2791(71)90454-X ↗
13. 10.1016/j.bios.2013.10.05510.1016/j.bios.2013.10.055 ↗
14. 10.1016/j.ymeth.2013.07.03510.1016/j.ymeth.2013.07.035 ↗
15. 10.1021/ac202405q10.1021/ac202405q ↗
16. 10.1038/nature0238810.1038/nature02388 ↗
17. 10.1016/j.bios.2005.04.02110.1016/j.bios.2005.04.021 ↗
18. 10.1021/acssensors.6b0074610.1021/acssensors.6b00746 ↗
19. 10.1158/0008-5472.CAN-07-246210.1158/0008-5472.CAN-07-2462 ↗
20. 10.1016/j.biopha.2016.01.02810.1016/j.biopha.2016.01.028 ↗
21. 10.1371/journal.pone.009292110.1371/journal.pone.0092921 ↗
22. 10.1111/j.1349-7006.2005.00015.x10.1111/j.1349-7006.2005.00015.x ↗
23. 10.1677/ERC-09-018410.1677/ERC-09-0184 ↗
24. 10.1038/3502052410.1038/35020524 ↗
25. 10.1038/nature0645110.1038/nature06451 ↗
26. 10.1038/nnano.2007.10410.1038/nnano.2007.104 ↗
27. 10.1021/ja311990w10.1021/ja311990w ↗
28. 10.1006/jmbi.2000.357310.1006/jmbi.2000.3573 ↗
29. 10.1093/nar/gkg59510.1093/nar/gkg595 ↗
30. 10.3390/cancers812011210.3390/cancers8120112 ↗
31. 10.1371/journal.pone.009568710.1371/journal.pone.0095687 ↗