journal article·2021-01

Hydrogenated Graphene Improves Neuronal Network Maturation and Excitatory Transmission

Matteo Moschetta, Jong‐Young Lee, João Rodrigues, Alice Podestà, Omar Varvicchio, Jangyup Son, Yangjin Lee, Kwanpyo Kim, Gwan‐Hyoung Lee, Fabio Benfenati, Mattia Bramini, Andrea Capasso

Advanced Biology· Volume 5· Issue 1
Publisher page

Abstract

Abstract Graphene is regarded as a viable bio‐interface for neuroscience due to its biocompatibility and electrical conductivity, which would contribute to efficient neuronal network signaling. Here, monolayer graphene grown via chemical vapor deposition is treated with remote hydrogen plasma to demonstrate that hydrogenated graphene (HGr) fosters improved cell‐to‐cell communication with respect to pristine graphene in primary cortical neurons. When transferred to polyethylene terephthalate, HGr exhibits higher wettability than graphene (water contact angle of 83.7° vs 40.7°), while preserving electrical conductivity (≈3 kΩ □‐1). A rich and mature network is observed to develop onto HGr. The intrinsic excitability and firing properties of neurons plated onto HGr appears unaltered, while the basic passive and active membrane properties are fully preserved. The formation of excitatory synaptic connections increases in HGr with respect to pristine graphene, leading to a doubled miniature excitatory postsynaptic current frequency. This study supports the use of hydrogenation for tailoring graphene into an improved neuronal interface, indicating that wettability, more than electrical conductivity, is the key parameter to be controlled. The use of HGr can bring about a deeper understanding of neuronal behavior on artificial bio‐interfaces and provide new insight for graphene‐based biomedical applications.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Neuroscience and Neural Engineering · Graphene and Nanomaterials Applications · Graphene research and applications

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

Affiliations

Center for Synaptic Neuroscience and Technology Istituto Italiano di Tecnologia L.go Rosanna Benzi 10 Genova 16132 Italy

Department of Experimental Medicine University of Genova Viale Benedetto XV Genova 16132 Italy

Department of Materials Science and Engineering Seoul National University Seoul 08826 Korea

International Iberian Nanotechnology Laboratory Braga 4715‐330 Portugal

Functional Composite Materials Research Center Korea Institute of Science and Technology (KIST) Jeollabuk‐do 55324 Korea

Research Institute of Advanced Materials (RIAM) Seoul National University Seoul 08826 Korea

Department of Physics Yonsei University Seoul 03722 Korea

Center for Nanomedicine Institute for Basic Science (IBS) Seoul 03722 Korea

Institute of Engineering Research Seoul National University Seoul 08826 Korea

Institute of Applied Physics Seoul National University Seoul 08826 Korea

IRCSS Ospedale Policlinico San Martino L.go Rosanna Benzi 10 Genova 16132 Italy

Department of Applied Physics Faculty of Science University of Granada Granada 18071 Spain

Funding

H2020 Marie Skłodowska-Curie Actions · H2020 Future and Emerging Technologies · Institute for Basic Science · National Research Foundation of Korea · Seoul National University

References (78)

Show source-provided references
1. 10.1124/jpet.108.14342010.1124/jpet.108.143420 ↗
2. 10.1016/j.trechm.2019.04.00910.1016/j.trechm.2019.04.009 ↗
3. 10.3390/scipharm8701000610.3390/scipharm87010006 ↗
4. 10.1038/nrn268510.1038/nrn2685 ↗
5. 10.2174/138920021866617012511475110.2174/1389200218666170125114751 ↗
6. 10.1038/nnano.2012.26510.1038/nnano.2012.265 ↗
7. 10.1024/0040-5930/a00101910.1024/0040-5930/a001019 ↗
8. 10.1016/j.crvi.2014.01.00110.1016/j.crvi.2014.01.001 ↗
9. 10.1002/adhm.20160031810.1002/adhm.201600318 ↗
10. 10.1146/annurev.neuro.051508.13524110.1146/annurev.neuro.051508.135241 ↗
11. 10.1016/j.neuron.2015.03.03710.1016/j.neuron.2015.03.037 ↗
12. 10.1126/science.110289610.1126/science.1102896 ↗
13. 10.1039/c0cs00079e10.1039/c0cs00079e ↗
14. 10.1126/science.115887710.1126/science.1158877 ↗
15. 10.1038/nature1145810.1038/nature11458 ↗
16. 10.1016/j.ssc.2015.08.01110.1016/j.ssc.2015.08.011 ↗
17. 10.1088/2053-1583/ab117e10.1088/2053-1583/ab117e ↗
18. 10.1039/C7CS00363C10.1039/C7CS00363C ↗
19. 10.1038/nnano.2016.28110.1038/nnano.2016.281 ↗
20. 10.1088/2053-1583/3/2/02500710.1088/2053-1583/3/2/025007 ↗
21. 10.1038/s41563-018-0249-410.1038/s41563-018-0249-4 ↗
22. 10.3389/fnins.2017.0046610.3389/fnins.2017.00466 ↗
23. 10.1088/2053-1583/aa5eff10.1088/2053-1583/aa5eff ↗
24. 10.1038/s41565-018-0163-610.1038/s41565-018-0163-6 ↗
25. 10.1038/s41467-018-03185-010.1038/s41467-018-03185-0 ↗
26. 10.1021/acsnano.5b0564710.1021/acsnano.5b05647 ↗
27. 10.1021/acs.nanolett.8b0248710.1021/acs.nanolett.8b02487 ↗
28. 10.1002/smll.20190014710.1002/smll.201900147 ↗
29. 10.1021/acsnano.6b0343810.1021/acsnano.6b03438 ↗
30. 10.1021/acsnano.6b0013010.1021/acsnano.6b00130 ↗
31. 10.1021/acs.nanolett.8b0490310.1021/acs.nanolett.8b04903 ↗
32. 10.1016/j.jcis.2006.02.05710.1016/j.jcis.2006.02.057 ↗
33. 10.1016/j.biomaterials.2005.01.01810.1016/j.biomaterials.2005.01.018 ↗
34. 10.1038/nmat322810.1038/nmat3228 ↗
35. 10.1021/la304645w10.1021/la304645w ↗
36. 10.1002/anie.20140333510.1002/anie.201403335 ↗
37. 10.1007/s40820-019-0237-510.1007/s40820-019-0237-5 ↗
38. 10.3762/bjnano.6.20610.3762/bjnano.6.206 ↗
39. 10.1016/j.tsf.2014.09.04010.1016/j.tsf.2014.09.040 ↗
40. 10.1038/s41598-017-09811-z10.1038/s41598-017-09811-z ↗
41. 10.1002/adma.20180099610.1002/adma.201800996 ↗
42. 10.1039/C4RA08361J10.1039/C4RA08361J ↗
43. 10.1016/j.surfrep.2010.07.00110.1016/j.surfrep.2010.07.001 ↗
44. 10.1038/ncomms1326110.1038/ncomms13261 ↗
45. 10.1002/adma.20190342410.1002/adma.201903424 ↗
46. 10.1021/acs.nanolett.9b0454810.1021/acs.nanolett.9b04548 ↗
47. 10.1016/j.biomaterials.2011.08.06510.1016/j.biomaterials.2011.08.065 ↗
48. 10.1016/j.biomaterials.2013.05.02410.1016/j.biomaterials.2013.05.024 ↗
49. 10.1016/j.biomaterials.2016.01.04210.1016/j.biomaterials.2016.01.042 ↗
50. 10.1016/j.colsurfb.2016.06.04510.1016/j.colsurfb.2016.06.045 ↗
51. 10.1038/ncomms625810.1038/ncomms6258 ↗
52. 10.1021/acsnano.7b0432110.1021/acsnano.7b04321 ↗
53. 10.1038/s41467-018-04457-510.1038/s41467-018-04457-5 ↗
54. 10.1016/j.carbon.2020.02.04310.1016/j.carbon.2020.02.043 ↗
55. DeLassus P. T. · 1999
56. 10.1002/1097-0126(200007)49:7<807::AID-PI436>3.0.CO;2-110.1002/1097-0126(200007)49:7<807::AID-PI436>3.0.CO;2-1 ↗
57. 10.1016/B978-0-12-398523-1.00083-510.1016/B978-0-12-398523-1.00083-5 ↗
58. 10.1021/nl902623y10.1021/nl902623y ↗
59. 10.1002/jbm.82023011010.1002/jbm.820230110 ↗
60. 10.1016/j.ijpx.2019.10002310.1016/j.ijpx.2019.100023 ↗
61. 10.1039/C7TC02487H10.1039/C7TC02487H ↗
62. 10.1002/smll.20090117310.1002/smll.200901173 ↗
63. 10.1002/adma.20110201910.1002/adma.201102019 ↗
64. 10.1002/chem.20190418410.1002/chem.201904184 ↗
65. 10.1039/C0JM02922J10.1039/C0JM02922J ↗
66. 10.1039/C7RA08266E10.1039/C7RA08266E ↗
67. 10.1039/b924753j10.1039/b924753j ↗
68. 10.1002/adma.20180363910.1002/adma.201803639 ↗
69. 10.1038/s42004-019-0254-910.1038/s42004-019-0254-9 ↗
70. 10.1038/nnano.2008.37410.1038/nnano.2008.374 ↗
71. 10.1002/adhm.20170129010.1002/adhm.201701290 ↗
72. 10.1016/j.msec.2018.05.01910.1016/j.msec.2018.05.019 ↗
73. 10.1152/jn.00857.200710.1152/jn.00857.2007 ↗
74. 10.1016/j.carbon.2013.09.01510.1016/j.carbon.2013.09.015 ↗
75. 10.1038/ncomms202210.1038/ncomms2022 ↗
76. 10.1002/adma.20160392510.1002/adma.201603925 ↗
77. 10.1039/C9CP02059D10.1039/C9CP02059D ↗
78. 10.9729/AM.2014.44.4.13310.9729/AM.2014.44.4.133 ↗