journal article·2019-04Open access

Mixed Fluorinated/Hydrogenated Self‐Assembled Monolayer‐Protected Gold Nanoparticles: In Silico and In Vitro Behavior

Domenico Marson, Filomena Guida, Maria Şologan, Silvia Boccardo, Paolo Pengo, Fabio Perissinotto, Valentina Iacuzzi, Elena Pellizzoni, Stefano Polizzi, Loredana Casalis, Lucia Pasquato, Sabrina Pacor, Alessandro Tossi, Paola Posocco

Small· Volume 15· Issue 17

Abstract

Abstract Gold nanoparticles (AuNPs) covered with mixtures of immiscible ligands present potentially anisotropic surfaces that can modulate their interactions at complex nano–bio interfaces. Mixed, self‐assembled, monolayer (SAM)‐protected AuNPs, prepared with incompatible hydrocarbon and fluorocarbon amphiphilic ligands, are used here to probe the molecular basis of surface phase separation and disclose the role of fluorinated ligands on the interaction with lipid model membranes and cells, by integrating in silico and experimental approaches. These results indicate that the presence of fluorinated amphiphilic ligands enhances the membrane binding ability and cellular uptake of gold nanoparticles with respect to those coated only with hydrogenated amphiphilic ligands. For mixed monolayers, computational results suggest that ligand phase separation occurs on the gold surface, and the resulting anisotropy affects the number of contacts and adhesion energies with a membrane bilayer. This reflects in a diverse membrane interaction for NPs with different surface morphologies, as determined by surface plasmon resonance, as well as differential effects on cells, as observed by flow cytometry and confocal microscopy. Overall, limited changes in monolayer features can significantly affect NP surface interfacial properties, which, in turn, affect the interaction of SAM‐AuNPs with cellular membranes and subsequent effects on cells.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Gold and Silver Nanoparticles Synthesis and Applications · Polymer Surface Interaction Studies · Lipid Membrane Structure and Behavior

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

Affiliations

Department of Engineering and Architecture University of Trieste 34127 Trieste Italy

Department of Life Sciences University of Trieste 34127 Trieste Italy

Department of Chemical and Pharmaceutical Sciences and INSTM Trieste Research Unit University of Trieste 34127 Trieste Italy

NanoInnovation Laboratory Elettra‐Sincrotrone Trieste S.C.p.A 34149 Basovizza Italy

Department of Molecular Science and Nanosystems Ca' Foscari University 30172 Venezia Italy

Centro di Microscopia Elettronica “G. Stevanato,” 30172 Venezia‐Mestre Italy

Funding

Ministero dell’Istruzione, dell’Università e della Ricerca

References (86)

Show source-provided references
1. 10.1073/pnas.080176310510.1073/pnas.0801763105 ↗
2. 10.1021/ja208433810.1021/ja2084338 ↗
3. 10.1146/annurev-bioeng-071811-15012410.1146/annurev-bioeng-071811-150124 ↗
4. 10.1038/nbt.333010.1038/nbt.3330 ↗
5. 10.1021/acsnano.6b0420710.1021/acsnano.6b04207 ↗
6. 10.1021/acsnano.6b0208610.1021/acsnano.6b02086 ↗
7. 10.1002/smll.20150227310.1002/smll.201502273 ↗
8. 10.1016/B978-0-12-804069-0.00011-310.1016/B978-0-12-804069-0.00011-3 ↗
9. 10.1002/anie.20046064910.1002/anie.200460649 ↗
10. 10.1021/ja043547c10.1021/ja043547c ↗
11. 10.1002/anie.20060258110.1002/anie.200602581 ↗
12. 10.1021/ja071642q10.1021/ja071642q ↗
13. 10.1126/science.119009410.1126/science.1190094 ↗
14. 10.1021/acs.accounts.7b0005110.1021/acs.accounts.7b00051 ↗
15. 10.1021/acs.langmuir.6b0170410.1021/acs.langmuir.6b01704 ↗
16. 10.1073/pnas.080392910510.1073/pnas.0803929105 ↗
17. 10.1038/nmat253410.1038/nmat2534 ↗
18. 10.1007/s00249-017-1250-610.1007/s00249-017-1250-6 ↗
19. 10.1038/nmat220210.1038/nmat2202 ↗
20. 10.1021/ja108285u10.1021/ja108285u ↗
21. 10.1039/c3nr02117c10.1039/c3nr02117c ↗
22. 10.1039/C2SC21639F10.1039/C2SC21639F ↗
23. 10.1021/nl401365n10.1021/nl401365n ↗
24. 10.1021/nn501203k10.1021/nn501203k ↗
25. 10.1038/ncomms548210.1038/ncomms5482 ↗
26. 10.1039/C5NR01355K10.1039/C5NR01355K ↗
27. 10.1039/c4nr01234h10.1039/c4nr01234h ↗
28. 10.1016/j.bbamem.2016.04.00110.1016/j.bbamem.2016.04.001 ↗
29. 10.1246/bcsj.56.323510.1246/bcsj.56.3235 ↗
30. 10.1021/ja00337a00510.1021/ja00337a005 ↗
31. 10.1080/10610278.2017.138630710.1080/10610278.2017.1386307 ↗
32. 10.1016/S0169-409X(01)00107-710.1016/S0169-409X(01)00107-7 ↗
33. 10.1016/j.cocis.2009.05.00810.1016/j.cocis.2009.05.008 ↗
34. 10.1038/s41467-018-03779-810.1038/s41467-018-03779-8 ↗
35. 10.1021/ja902777d10.1021/ja902777d ↗
36. 10.1016/j.jfluchem.2011.01.00410.1016/j.jfluchem.2011.01.004 ↗
37. 10.1038/s41467-017-01826-410.1038/s41467-017-01826-4 ↗
38. 10.1038/ncomms699810.1038/ncomms6998 ↗
39. 10.1039/c3cc44572k10.1039/c3cc44572k ↗
40. 10.1039/C6CC08900C10.1039/C6CC08900C ↗
41. 10.1021/nn302366q10.1021/nn302366q ↗
42. 10.1021/acs.chemrev.5b0048410.1021/acs.chemrev.5b00484 ↗
43. 10.1002/anie.20080532110.1002/anie.200805321 ↗
44. 10.1021/la403546c10.1021/la403546c ↗
45. 10.1021/acsnano.6b0393110.1021/acsnano.6b03931 ↗
46. 10.1038/ncomms215510.1038/ncomms2155 ↗
47. 10.1021/acs.jpcc.8b0628610.1021/acs.jpcc.8b06286 ↗
48. 10.1002/anie.20110288210.1002/anie.201102882 ↗
49. P.Ronchese P.Pengo F.Stellacci L.Pasquato Unpublished.
50. 10.1038/s41467-018-03699-710.1038/s41467-018-03699-7 ↗
51. 10.1021/la301771b10.1021/la301771b ↗
52. 10.1021/nl401365n10.1021/nl401365n ↗
53. 10.1021/jp512107z10.1021/jp512107z ↗
54. 10.1039/C5EN00098J10.1039/C5EN00098J ↗
55. 10.1039/C5NR07954C10.1039/C5NR07954C ↗
56. The reduced ∆Gadhof mixed NPs could be due at least in part to the overall lower number of ligands with respect to homoligand NPs resulting in fewer contacts. For this reason computational runs with mixed ligand NPs constructed to have the same number of ligands (≈70) and diameter (≈2 nm) of homoligand NPs were carried out but continued to show a reducedNC(data not shown) so that the presence of a mixed system results in reduced contacts.
57. 10.1126/science.117462110.1126/science.1174621 ↗
58. 10.1038/s41467-017-01328-310.1038/s41467-017-01328-3 ↗
59. 10.1038/nrm.2017.1610.1038/nrm.2017.16 ↗
60. 10.1039/c2cp41417a10.1039/c2cp41417a ↗
61. 10.1039/C7NR06494B10.1039/C7NR06494B ↗
62. 10.1016/j.bbamem.2008.08.02210.1016/j.bbamem.2008.08.022 ↗
63. 10.1007/s12013-017-0792-710.1007/s12013-017-0792-7 ↗
64. An attempt was also made to assess cell damage in terms of decreased mitochondrial functionality by measuring NP effect on the inner transmembrane potential (Δψm) using the DiOC6 probe. This dye is a selective Δψmprobe often employed as a marker of early apoptotic events as it loses fluorescence on mitochondrial inner membrane depolarization. However it proved inappropriate for our studies as both M1‐ and M2‐C8T/F8P AuNPs quenched its fluorescence in vitro (likely due to the absorbance by the Au core) even in the absence of cells.
65. Wlodkowic D. · 2011 · 55
66. 2005
67. 10.1016/j.ab.2005.06.01310.1016/j.ab.2005.06.013 ↗
68. 10.1016/j.chemphyslip.2006.02.01010.1016/j.chemphyslip.2006.02.010 ↗
69. Case D. A. · 2014
70. 10.1016/j.jmgm.2005.12.00510.1016/j.jmgm.2005.12.005 ↗
71. 10.1002/jcc.2003510.1002/jcc.20035 ↗
72. 10.1021/jp071097f10.1021/jp071097f ↗
73. 10.1016/j.softx.2015.06.00110.1016/j.softx.2015.06.001 ↗
74. 10.1016/0010-4655(95)00042-E10.1016/0010-4655(95)00042-E ↗
75. 10.1002/jcc.2029110.1002/jcc.20291 ↗
76. 10.1021/ct700301q10.1021/ct700301q ↗
77. 10.1093/bioinformatics/btt05510.1093/bioinformatics/btt055 ↗
78. Szilárd P. · Proc. EASC · 2014 · 8759 · 3
79. 10.1002/jcc.54013081210.1002/jcc.540130812 ↗
80. 10.1016/0263-7855(96)00018-510.1016/0263-7855(96)00018-5 ↗
81. 10.1021/acs.jctc.5b0020910.1021/acs.jctc.5b00209 ↗
82. 10.1155/2015/91513010.1155/2015/915130 ↗
83. 10.1016/j.ejpb.2008.08.00910.1016/j.ejpb.2008.08.009 ↗
84. 10.1016/j.taap.2008.09.03010.1016/j.taap.2008.09.030 ↗
85. Cossarizza A. · 2000 · 9.14.1
86. 10.18632/oncotarget.1044910.18632/oncotarget.10449 ↗