scholarly journals Cover Feature: Sub-Ensemble Monitoring of DNA Strand Displacement Using Multiparameter Single-Molecule FRET (ChemPhysChem 5/2018)

ChemPhysChem ◽  
2018 ◽  
Vol 19 (5) ◽  
pp. 548-548
Author(s):  
Laura E. Baltierra-Jasso ◽  
Michael J. Morten ◽  
Steven W. Magennis
ChemPhysChem ◽  
2018 ◽  
Vol 19 (5) ◽  
pp. 551-555 ◽  
Author(s):  
Laura E. Baltierra-Jasso ◽  
Michael J. Morten ◽  
Steven W. Magennis

2020 ◽  
Author(s):  
D. W. Bo Broadwater ◽  
Alexander W. Cook ◽  
Harold D. Kim

AbstractDNA strand displacement, where a single-stranded nucleic acid invades a DNA duplex, is pervasive in genomic processes and DNA engineering applications. The kinetics of strand displacement have been studied in bulk; however, the kinetics of the underlying strand exchange were obfuscated by a slow bimolecular association step. Here, we use a novel single-molecule Fluorescence Resonance Energy Transfer (smFRET) approach termed the “fission” assay to obtain the full distribution of first passage times of unimolecular strand displacement. At a frame time of 4.4 ms, the first passage time distribution for a 14-nt displacement domain exhibited a nearly monotonic decay with little delay. Among the eight different sequences we tested, the mean displacement time was on average 35 ms and varied by up to a factor of 13. The measured displacement kinetics also varied between complementary invaders and between RNA and DNA invaders of the same base sequence except for T→U substitution. However, displacement times were largely insensitive to the monovalent salt concentration in the range of 0.25 M to 1 M. Using a one-dimensional random walk model, we infer that the single-step displacement time is in the range of ∼30 µs to ∼300 µs depending on the base identity. The framework presented here is broadly applicable to the kinetic analysis of multistep processes investigated at the single-molecule level.


2017 ◽  
Vol 53 (2) ◽  
pp. 436-439 ◽  
Author(s):  
Jinglin Kong ◽  
Jinbo Zhu ◽  
Ulrich F. Keyser

A novel nanopore-DNA carrier method is demonstrated for SNP detection and following DNA strand displacement kinetics at the single molecule level.


2021 ◽  
Author(s):  
Jinbo Zhu ◽  
Jinglin Kong ◽  
Ulrich Keyser ◽  
Erkang Wang

Abstract DNA strand displacement reaction is essential for the development of molecular computing based on DNA nanotechnology. Additional DNA strand exchange strategies with high selectivity for input will enable novel complex systems including biosensing applications. Most approaches use bulk readout methods based on fluorescent probes that complicate the monitoring of parallel computations. Herein we propose an autocatalytic strand displacement (ACSD) circuit, which is initiated by DNA breathing and accelerated by seesaw catalytic reaction. The special initiation mechanism of the ACSD circuit enables detection of single base mutations at multiple sites in the input strand with much higher sensitivity than classic toehold-mediated strand displacement. A swarm intelligence model is constructed using the ACSD circuit to mimic foraging behaviour of ants. We introduce a multiplexed nanopore sensing platform to report the output results of a parallel path selection system on the single-molecule level. The ACSD strategy and nanopore multiplexed readout method enhance the toolbox for the future development of DNA computing.


2017 ◽  
Vol 121 (12) ◽  
pp. 2594-2602 ◽  
Author(s):  
Xiaoping Olson ◽  
Shohei Kotani ◽  
Bernard Yurke ◽  
Elton Graugnard ◽  
William L. Hughes

ChemPhysChem ◽  
2021 ◽  
Author(s):  
Hui Lv ◽  
Qian Li ◽  
Jiye Shi ◽  
Fei Wang ◽  
Chunhai Fan

Nano Letters ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 1368-1374
Author(s):  
Jinbo Zhu ◽  
Filip Bošković ◽  
Bao-Nguyen T. Nguyen ◽  
Jonathan R. Nitschke ◽  
Ulrich F. Keyser

Talanta ◽  
2019 ◽  
Vol 200 ◽  
pp. 487-493 ◽  
Author(s):  
Raja Chinnappan ◽  
Rawa Mohammed ◽  
Ahmed Yaqinuddin ◽  
Khalid Abu-Salah ◽  
Mohammed Zourob

2015 ◽  
Vol 58 (10) ◽  
pp. 1515-1523 ◽  
Author(s):  
Yafei Dong ◽  
Chen Dong ◽  
Fei Wan ◽  
Jing Yang ◽  
Cheng Zhang

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