journal article·2021Open access

Tuning DNA–nanoparticle conjugate properties allows modulation of nuclease activity

Jeff C. Hsiao, Tomas Buryska, Eunjung Kim, Philip D. Howes, Andrew J. deMello

Nanoscale· Volume 13· Issue 9

Abstract

Enzyme-nanoparticle interactions can give rise to a range of new phenomena, most notably significant enzymatic rate enhancement. Accordingly, the careful study and optimization of such systems is likely to give rise to advanced biosensing applications. Herein, we report a systematic study of the interactions between nuclease enzymes and oligonucleotide-coated gold nanoparticles (spherical nucleic acids, SNAs), with the aim of revealing phenomena worthy of evolution into functional nanosystems. Specifically, we study two nucleases, an exonuclease (ExoIII) and an endonuclease (Nt.BspQI), via fluorescence-based kinetic experiments, varying parameters including enzyme and substrate concentrations, and nanoparticle size and surface coverage in non-recycling and a recycling formats. We demonstrate the tuning of nuclease activity by SNA characteristics and show that the modular units of SNAs can be leveraged to either accelerate or suppress nuclease kinetics. Additionally, we observe that the enzymes are capable of cleaving restriction sites buried deep in the oligonucleotide surface layer and that enzymatic rate enhancement occurs in the target recycling format but not in the non-recycling format. Furthermore, we demonstrate a new SNA phenomenon, we term 'target stacking', whereby nucleic acid hybridization efficiency increases as enzyme cleavage proceeds during the beginning of a reaction. This investigation provides important data to guide the design of novel SNAs in biosensing and in vitro diagnostic applications.
Source: openalex_inverted_index · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Advanced biosensing and bioanalysis techniques · RNA Interference and Gene Delivery · DNA and Nucleic Acid Chemistry

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

Affiliations

Institute for Chemical and Bioengineering

Department of Chemistry and Applied Biosciences

ETH Zürich

8093 Zürich

Switzerland

Division of Bioengineering and Department of Bioengineering and Nano-Bioengineering

Incheon National University

Republic of Korea

Funding

Whitaker Foundation · European Commission · Ministry of Trade, Industry and Energy

References (47)

Show source-provided references
1. Seeman · Nat. Rev. Mater. · 2017 · 3 · 1706810.1038/natrevmats.2017.68 ↗
2. Samanta · Nanoscale · 2016 · 8 · 903710.1039/C5NR08465B ↗
3. Pei · Acc. Chem. Res. · 2014 · 47 · 55010.1021/ar400195t ↗
4. Liang · Acc. Chem. Res. · 2014 · 47 · 189110.1021/ar500078f ↗
5. Laramy · Nat. Rev. Mater. · 2019 · 4 · 20110.1038/s41578-019-0087-2 ↗
6. Cutler · J. Am. Chem. Soc. · 2012 · 134 · 137610.1021/ja209351u ↗
7. Randeria · J. Am. Chem. Soc. · 2015 · 137 · 348610.1021/jacs.5b00670 ↗
8. Fong · J. Am. Chem. Soc. · 2018 · 140 · 622610.1021/jacs.8b03459 ↗
9. Narayan · Small · 2015 · 11 · 417310.1002/smll.201500027 ↗
10. Randeria · Cancer Treat. Res. · 2015 · 166 · 110.1007/978-3-319-16555-4_1 ↗
11. Barnaby · Bioconjugate Chem. · 2016 · 27 · 212410.1021/acs.bioconjchem.6b00350 ↗
12. Liu · Matter · 2019 · 1 · 82510.1016/j.matt.2019.08.008 ↗
13. Wang · Chem. Soc. Rev. · 2019 · 48 · 489210.1039/C8CS00402A ↗
14. Mason · ACS Nano · 2019 · 13 · 810610.1021/acsnano.9b03053 ↗
15. Carver · J. Am. Chem. Soc. · 2009 · 131 · 379810.1021/ja806064t ↗
16. Algar · Langmuir · 2019 · 35 · 706710.1021/acs.langmuir.8b02733 ↗
17. Johnson · Nano Today · 2014 · 9 · 10210.1016/j.nantod.2014.02.005 ↗
18. Vranish · Langmuir · 2018 · 34 · 290110.1021/acs.langmuir.7b02588 ↗
19. Seferos · Nano Lett. · 2009 · 9 · 30810.1021/nl802958f ↗
20. Rosi · Science · 2006 · 312 · 102710.1126/science.1125559 ↗
21. Seferos · J. Am. Chem. Soc. · 2007 · 129 · 1547710.1021/ja0776529 ↗
22. Prigodich · Anal. Chem. · 2012 · 84 · 206210.1021/ac202648w ↗
23. Prigodich · J. Am. Chem. Soc. · 2011 · 133 · 212010.1021/ja110833r ↗
24. X. Qu , D.Zhu , G.Yao , S.Su , J.Chao , H.Liu , X.Zuo , L.Wang , J.Shi , L.Wang , W.Huang , H.Pei and C.Fan , An Exonuclease III-Powered, On-Particle Stochastic DNA Walker , Angew. Chem., Int. Ed. , 2017 , 56 , 1855–1858
25. Degliangeli · J. Am. Chem. Soc. · 2014 · 136 · 226410.1021/ja412152x ↗
26. Hill · ACS Nano · 2009 · 3 · 41810.1021/nn800726e ↗
27. Hurst · Anal. Chem. · 2006 · 78 · 831310.1021/ac0613582 ↗
28. Gerasimova · Chem. Soc. Rev. · 2014 · 43 · 640510.1039/C4CS00083H ↗
29. Liu · J. Am. Chem. Soc. · 2017 · 139 · 947110.1021/jacs.7b04885 ↗
30. Liu · Langmuir · 2019 · 35 · 647610.1021/acs.langmuir.9b00746 ↗
31. Liu · Colloids Surf., B · 2007 · 58 · 310.1016/j.colsurfb.2006.08.005 ↗
32. Fan · Anal. Chem. · 2016 · 88 · 915810.1021/acs.analchem.6b02282 ↗
33. Li · Anal. Chem. · 2017 · 89 · 731610.1021/acs.analchem.7b00055 ↗
34. Song · RSC Adv. · 2018 · 8 · 1524810.1039/C8RA01799A ↗
35. Chen · Anal. Chem. · 2018 · 90 · 66310.1021/acs.analchem.7b04240 ↗
36. Thomas · J. Biol. Chem. · 1978 · 253 · 42410.1016/S0021-9258(17)38226-1 ↗
37. Wu · Biochemistry · 1976 · 15 · 73410.1021/bi00649a003 ↗
38. Xu · Anal. Chem. · 2012 · 84 · 1084510.1021/ac303095z ↗
39. Zhang · Protein Expression Purif. · 2010 · 69 · 22610.1016/j.pep.2009.09.003 ↗
40. Yu · Biosens. Bioelectron. · 2015 · 64 · 56610.1016/j.bios.2014.09.080 ↗
41. Lu · J. Am. Chem. Soc. · 2012 · 134 · 1065110.1021/ja3037838 ↗
42. Chen · TrAC, Trends Anal. Chem. · 2020 · 123 · 11574810.1016/j.trac.2019.115748 ↗
43. S. Henikoff , in Methods in Enzymology , Academic Press , 1987 , vol. 155 , pp. 156–165
44. Petryayeva · ACS Appl. Mater. Interfaces · 2017 · 9 · 3035910.1021/acsami.7b07519 ↗
45. Wu · ACS Appl. Mater. Interfaces · 2015 · 7 · 253510.1021/am507466b ↗
46. Lytton-Jean · J. Am. Chem. Soc. · 2005 · 127 · 1275410.1021/ja052255o ↗
47. Chen · Nucleic Acids Res. · 2009 · 37 · 375610.1093/nar/gkp230 ↗