Rapid and Multiplexed MicroRNA Diagnostic Assay Using Quantum Dot-Based Förster Resonance Energy Transfer
Source abstract
Abstract
The detection of next generation microRNA (miRNA) biomarkers has become a highly important aspect for clinical diagnostics. We use multiplexed Förster resonance energy transfer (FRET) between a luminescent Tb complex and three different semiconductor quantum dots (QDs) to sensitively detect three different miRNAs from a single 150 μL sample with ca. 1 nM (subpicomol) detection limits. The rapid and amplification-free mix-and-measure assay format is based on careful design of miRNA base pairing and stacking to selectively detect different miRNAs with very strong sequence homologies. Clinical applicability is demonstrated by sensitive multiplexed quantification of three miRNAs at low (2 to 10 nM) and varying concentrations in samples that contained up to 10% serum.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Advanced biosensing and bioanalysis techniques · MicroRNA in disease regulation · RNA Interference and Gene Delivery
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
NanoBioPhotonics (nanofret.com), Institut d’Electronique Fondamentale, Université Paris-Sud/CNRS, 91405 Orsay Cedex, France
Funding
China Scholarship Council · Seventh Framework Programme
References (38)
Show source-provided references
1. 10.1093/nar/gkt118110.1093/nar/gkt1181 ↗
2. The microRNA Database,http://www.mirbase.org/cgi-bin/browse.pl?org=hsa. (Accessed on: May 2015) .
3. 10.1002/emmm.20110020910.1002/emmm.201100209 ↗
4. 10.1038/ncb276910.1038/ncb2769 ↗
5. 10.1038/nrc184010.1038/nrc1840 ↗
6. 10.1038/nrc199710.1038/nrc1997 ↗
7. 10.1038/bjc.2011.5710.1038/bjc.2011.57 ↗
8. 10.1586/erm.12.13610.1586/erm.12.136 ↗
9. 10.4161/rna.2037810.4161/rna.20378 ↗
10. 10.1038/nature0370210.1038/nature03702 ↗
11. 10.1038/nbt139210.1038/nbt1392 ↗
12. Schwarzenbach H. · 2014 · 567
13. 10.1016/j.aca.2011.05.02510.1016/j.aca.2011.05.025 ↗
14. 10.1016/j.clinbiochem.2013.02.01710.1016/j.clinbiochem.2013.02.017 ↗
15. 10.1038/nmeth.301410.1038/nmeth.3014 ↗
16. 10.1016/j.ccr.2014.01.02010.1016/j.ccr.2014.01.020 ↗
17. 10.1021/ic401788310.1021/ic4017883 ↗
18. 10.1016/j.ccr.2013.07.01510.1016/j.ccr.2013.07.015 ↗
19. 10.1021/nn403253y10.1021/nn403253y ↗
20. 10.1021/ja210162f10.1021/ja210162f ↗
21. 10.1093/nar/gkr101610.1093/nar/gkr1016 ↗
22. 10.1021/ac202405q10.1021/ac202405q ↗
23. 10.1039/c4cc02034k10.1039/c4cc02034k ↗
24. 10.1371/journal.pone.006554010.1371/journal.pone.0065540 ↗
25. 10.1039/C4SC02104E10.1039/C4SC02104E ↗
26. 10.1016/j.aca.2012.05.03110.1016/j.aca.2012.05.031 ↗
27. 10.1007/s00604-014-1372-910.1007/s00604-014-1372-9 ↗
28. 10.1093/nar/gni01910.1093/nar/gni019 ↗
29. 10.1371/journal.pone.006985610.1371/journal.pone.0069856 ↗
30. 10.1016/j.elecom.2013.04.03010.1016/j.elecom.2013.04.030 ↗
31. 10.1016/j.bios.2013.10.02310.1016/j.bios.2013.10.023 ↗
32. 10.1016/j.bios.2013.08.01410.1016/j.bios.2013.08.014 ↗
33. 10.1093/nar/gkj45410.1093/nar/gkj454 ↗
34. 10.1002/anie.20090639910.1002/anie.200906399 ↗
35. 10.1021/ac101892t10.1021/ac101892t ↗
36. 10.1002/anie.20100294310.1002/anie.201002943 ↗
37. 10.1002/lt.2337710.1002/lt.23377 ↗
38. 10.1021/ja310317n10.1021/ja310317n ↗