journal article·2024-10-31Open access

In Silico Design of a Solution-Gated Graphene Transistor Sensor for the Efficient Detection of Guanine Quadruplexes

Aurianne Rainot, Luisa D’Anna, Alessio Terenzi, Raphael Rouget, Stéphanie Grandemange, Benoit Piro, Giampaolo Barone, Florent Barbault, Antonio Monari

Abstract

Guanine quadruplexes (G4s) are nucleic acid structures present in diverse regions of the genome, such as telomeres and transcription initiators. Recently, the different biological roles of G4s have been evidenced as well as their role as biomarkers for tumors or viral infections. However, the fast and efficient detection of G4s in complex matrices remains elusive. In this contribution, by using long-scale molecular dynamics simulations, we propose the design of a biosensor based on organic field-effect transistors recognizing G4s. In particular, we show that the interaction of the G4s with the biosensor is translated into a change in the charge density profile, which correlates with the electrical transduction of the signal, thus allowing the detection of the nucleic acid structure. We also provide rules of thumb for the optimization of the design of the device and more generally for the integration of computationally driven design approaches.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advanced biosensing and bioanalysis techniques · Molecular Junctions and Nanostructures · Graphene research and applications

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

Affiliations

Université Paris Cité, CNRS, ITODYS, F-75013 Paris, France

Università degli Studi di Palermo, Department of Biological, Chemical and Pharmaceutical Sciences and Technologies Viale delle Scienze, Edificio 17, 90128 Palermo, Italy

Université de Lorraine and CNRS, UMR 7039 CRAN, F-54000 Nancy, France

Funding

Commissariat G?n?ral ? l'Investissement · Laboratoire d'Excellence SEAM · Agence Nationale de la Recherche · Universit? degli Studi di Palermo

References (65)

Show source-provided references
1. 10.1002/chem.20110223410.1002/chem.201102234 ↗
2. 10.1021/ja045154j10.1021/ja045154j ↗
3. 10.1093/nar/gkae18210.1093/nar/gkae182 ↗
4. 10.1093/nar/gky72910.1093/nar/gky729 ↗
5. 10.1093/nar/gkq63910.1093/nar/gkq639 ↗
6. 10.1016/0959-440X(91)90044-T10.1016/0959-440X(91)90044-T ↗
7. 10.3390/molecules2516368610.3390/molecules25163686 ↗
8. 10.3390/cells801003010.3390/cells8010030 ↗
9. 10.1021/ja073046210.1021/ja0730462 ↗
10. 10.1073/pnas.05269809910.1073/pnas.052698099 ↗
11. 10.1002/jcp.2453710.1002/jcp.24537 ↗
12. 10.1016/j.trechm.2019.07.00210.1016/j.trechm.2019.07.002 ↗
13. 10.1016/j.bbagen.2016.12.02410.1016/j.bbagen.2016.12.024 ↗
14. 10.1016/j.chempr.2018.02.01410.1016/j.chempr.2018.02.014 ↗
15. 10.1093/nar/gkab60910.1093/nar/gkab609 ↗
16. 10.1021/acschembio.7b0063610.1021/acschembio.7b00636 ↗
17. 10.1074/jbc.M117.78190610.1074/jbc.M117.781906 ↗
18. 10.1007/s12104-017-9793-010.1007/s12104-017-9793-0 ↗
19. 10.1016/j.bbcan.2020.18841010.1016/j.bbcan.2020.188410 ↗
20. 10.1093/nar/gku57410.1093/nar/gku574 ↗
21. 10.1021/jacs.8b1275310.1021/jacs.8b12753 ↗
22. 10.1021/acs.jpclett.3c0076510.1021/acs.jpclett.3c00765 ↗
23. 10.3390/ijms2302074310.3390/ijms23020743 ↗
24. 10.1021/ja106287x10.1021/ja106287x ↗
25. 10.1128/JB.00154-1910.1128/JB.00154-19 ↗
26. 10.1128/JB.00577-2010.1128/JB.00577-20 ↗
27. 10.1124/pharmrev.120.00023010.1124/pharmrev.120.000230 ↗
28. 10.1093/nar/gku99910.1093/nar/gku999 ↗
29. 10.1039/D3SC04004F10.1039/D3SC04004F ↗
30. 10.1021/acs.jpclett.1c0307110.1021/acs.jpclett.1c03071 ↗
31. 10.1038/s41421-022-00450-x10.1038/s41421-022-00450-x ↗
32. 10.1093/nar/gky18710.1093/nar/gky187 ↗
33. 10.1016/j.jmb.2017.05.01710.1016/j.jmb.2017.05.017 ↗
34. 10.1038/s41580-020-0236-x10.1038/s41580-020-0236-x ↗
35. 10.21037/jgo-24-2610.21037/jgo-24-26 ↗
36. 10.1038/s41467-023-36801-910.1038/s41467-023-36801-9 ↗
37. 10.1021/jacs.2c0477510.1021/jacs.2c04775 ↗
38. 10.1016/bs.armc.2020.05.00410.1016/bs.armc.2020.05.004 ↗
39. 10.1016/j.jinorgbio.2017.10.01010.1016/j.jinorgbio.2017.10.010 ↗
40. 10.1039/D4QI01394H10.1039/D4QI01394H ↗
41. 10.1039/C5CP05576H10.1039/C5CP05576H ↗
42. 10.3390/ijms22201098410.3390/ijms222010984 ↗
43. 10.1093/nar/gku57110.1093/nar/gku571 ↗
44. 10.1002/chem.20220182410.1002/chem.202201824 ↗
45. 10.1039/C5CP06341H10.1039/C5CP06341H ↗
46. 10.1021/acs.jpcb.6b0063410.1021/acs.jpcb.6b00634 ↗
47. 10.1016/j.synthmet.2023.11735510.1016/j.synthmet.2023.117355 ↗
48. 10.3390/bios1303036310.3390/bios13030363 ↗
49. 10.1021/acsanm.1c0443410.1021/acsanm.1c04434 ↗
50. 10.1016/j.electacta.2021.13781910.1016/j.electacta.2021.137819 ↗
51. 10.1016/j.aca.2020.01.05310.1016/j.aca.2020.01.053 ↗
52. 10.1074/jbc.C113.50233610.1074/jbc.C113.502336 ↗
53. 10.1021/acsomega.8b0157410.1021/acsomega.8b01574 ↗
54. 10.1021/ja984153m10.1021/ja984153m ↗
55. Case, D. A.; Berryman, J. T.; Betz, R. M.; Cerutti, T. E.; Cheatham, G. A., III; Darden, T. A.; Duke, R. E.; Giese, T. J.; Gohlke, H.; Goetz, A. W.; Homeyer, N.; Izadi, S.; Janowski, P.; Kaus, J.; Kovalenko, A.; Lee, T. S.; Grand, S. Le.; Luchko, P. L. T.; Luo, R. B.; Madej, a.; d, K. M. M.; Monard, G.; Needham, P.; Nguyen, H.; Nguyen, H. T.; Omelyan, I.; Onufriev, A.; Roe, D. R.; Roitberg, A.; Salomon-Ferrer, R.; Simmerling, C. L.; Smith, W.; Swails, J.; Walker, R. C.; Wang, J.; Wolf, R. M.; Wu, X.; York, D. M.; Kollman, P. A. AMBER 2022; University of California, San Francisco, 2022.
56. 10.1021/acs.jctc.6b0018610.1021/acs.jctc.6b00186 ↗
57. 10.1093/nar/gkw135510.1093/nar/gkw1355 ↗
58. 10.1021/bi048242p10.1021/bi048242p ↗
59. 10.1021/acs.jpcb.1c0534110.1021/acs.jpcb.1c05341 ↗
60. 10.1039/D2TC01631A10.1039/D2TC01631A ↗
61. 10.1021/acs.jpcb.6b1254410.1021/acs.jpcb.6b12544 ↗
62. 10.1016/j.bios.2018.04.05110.1016/j.bios.2018.04.051 ↗
63. 10.1016/j.bbagen.2017.10.02010.1016/j.bbagen.2017.10.020 ↗
64. 10.1016/j.molliq.2022.12009710.1016/j.molliq.2022.120097 ↗
65. 10.3390/molecules2713416510.3390/molecules27134165 ↗