journal article·2024-06-04

DNA Molecular Computation Using the CRISPR-Mediated Reaction and Surface Growth of Gold Nanoparticles

Ruijie Fu, Jinjie Hou, Zexiang Wang, Yunlei Xianyu

ACS Nano· Volume 18· Issue 22
Publisher page

Abstract

DNA has emerged as a promising tool to build logic gates for biocomputing. However, prevailing methodologies predominantly rely on hybridization reactions or structural alterations to construct DNA logic gates, which are limited in simplicity and diversity. Herein, we developed simple and smart DNA-based logic gates for biocomputing through the DNA-mediated growth of gold nanomaterials without precise structure design and probe modification. Capitalizing on their excellent plasmonic properties, the surface growth of gold nanomaterials enables distinct wavelength shifts and unique shapes, which are modulated by the composition, length, and concentration of the DNA sequences. Combined with a CRISPR-mediated reaction, we constructed DNA circuits to achieve complicated biocomputing to modulate the surface growth of gold nanomaterials. By implementing logic functions controlled by input-mediated growth of gold nanomaterials, we established YES/NOT, AND/NAND, OR/NOR, XOR, and INHIBIT gates and further constructed cascade logic circuits, parity checker for natural numbers, and gray code encoder, which are promising for DNA biocomputing.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advanced biosensing and bioanalysis techniques · DNA and Biological Computing · Biosensors and Analytical Detection

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

Affiliations

College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, People’s Republic of China

Key Laboratory of Precision Medicine in Diagnosis and Monitoring Research of Zhejiang Province, Sir Run Run Shaw Hospital, Hangzhou 310016, People’s Republic of China

Funding

National Key Research and Development Program of China · National Natural Science Foundation of China · Natural Science Foundation of Zhejiang Province

References (33)

Show source-provided references
1. 10.1021/sb300111210.1021/sb3001112 ↗
2. 10.1039/C7CS00491E10.1039/C7CS00491E ↗
3. 10.1038/nrg319710.1038/nrg3197 ↗
4. 10.1021/acsnano.9b0256210.1021/acsnano.9b02562 ↗
5. 10.1039/C6SC04056J10.1039/C6SC04056J ↗
6. 10.1021/acsnano.3c0477710.1021/acsnano.3c04777 ↗
7. 10.1039/C8SC02482K10.1039/C8SC02482K ↗
8. 10.1038/am.2015.1610.1038/am.2015.16 ↗
9. 10.1039/D0SC03392H10.1039/D0SC03392H ↗
10. 10.1039/D0NR09148K10.1039/D0NR09148K ↗
11. 10.1038/s41586-020-2861-010.1038/s41586-020-2861-0 ↗
12. 10.1073/pnas.221733012010.1073/pnas.2217330120 ↗
13. 10.1038/nnano.2017.12710.1038/nnano.2017.127 ↗
14. 10.1021/acs.chemrev.8b0019810.1021/acs.chemrev.8b00198 ↗
15. 10.1038/s41586-023-06484-910.1038/s41586-023-06484-9 ↗
16. 10.1021/ja411490310.1021/ja4114903 ↗
17. 10.1021/jacs.9b0547010.1021/jacs.9b05470 ↗
18. 10.1021/acsnano.9b0132410.1021/acsnano.9b01324 ↗
19. 10.1021/jacs.1c0006010.1021/jacs.1c00060 ↗
20. 10.1039/C5SC00371G10.1039/C5SC00371G ↗
21. 10.1002/anie.20210399310.1002/anie.202103993 ↗
22. 10.1021/ja905107510.1021/ja9051075 ↗
23. 10.1002/anie.20210665110.1002/anie.202106651 ↗
24. 10.1039/C4CC06980C10.1039/C4CC06980C ↗
25. 10.1039/C5CC08242K10.1039/C5CC08242K ↗
26. 10.1021/nl902859m10.1021/nl902859m ↗
27. 10.1021/nl401610710.1021/nl4016107 ↗
28. 10.1021/jacs.2c0432510.1021/jacs.2c04325 ↗
29. 10.1021/jacs.2c0325810.1021/jacs.2c03258 ↗
30. 10.1021/nl100675p10.1021/nl100675p ↗
31. 10.1002/anie.20150083810.1002/anie.201500838 ↗
32. 10.1021/la020242810.1021/la0202428 ↗
33. 10.1021/jp051617b10.1021/jp051617b ↗