journal article·2023-04-14Open access

Poly(β-amino ester) Nanoparticles Modified with a Rabies-Virus-Derived Peptide for the Delivery of ASCL1 across a 3D In Vitro Model of the Blood–Brain Barrier

Tina M. Rodgers, Nicolas Muzzio, Andrea Valero, Ikram Ahmad, Tanja Ursula Lüdtke, Sergio E. Moya, Gabriela Romero

ACS Applied Nano Materials· Volume 6· Issue 7

Abstract

Gene editing has emerged as a therapeutic approach to manipulate the genome for killing cancer cells, protecting healthy tissues, and improving immune response to a tumor. The gene editing tool achaete-scute family bHLH transcription factor 1 CRISPR guide RNA ( ASCL1-gRNA ) is known to restore neuronal lineage potential, promote terminal differentiation, and attenuate tumorigenicity in glioblastoma tumors. Here, we fabricated a polymeric nonviral carrier to encapsulate ASCL1-gRNA by electrostatic interactions and deliver it into glioblastoma cells across a 3D in vitro model of the blood–brain barrier (BBB). To mimic rabies virus (RV) neurotropism, gene-loaded poly(β-amino ester) nanoparticles are surface functionalized with a peptide derivative of rabies virus glycoprotein (RVG29). The capability of the obtained NPs, hereinafter referred to as RV-like NPs, to travel across the BBB, internalize into glioblastoma cells, and deliver ASCL1-gRNA is investigated in a 3D BBB in vitro model through flow cytometry and CLSM microscopy. The formation of nicotinic acetylcholine receptors in the 3D BBB in vitro model is confirmed by immunochemistry. These receptors are known to bind to RVG29. Unlike Lipofectamine which primarily internalizes and transfects endothelial cells, RV-like NPs are capable to travel across the 3D BBB in vitro model, preferentially internalizing glioblastoma cells, and delivering ASCL1-gRNA at an efficiency of 10%, causing noncytotoxic effects.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: RNA Interference and Gene Delivery · CRISPR and Genetic Engineering · Virus-based gene therapy research

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

Affiliations

Department of Biomedical Engineering and Chemical Engineering, The University of Texas at San Antonio, San Antonio, Texas 78249, United States

Soft Matter Nanotechnology, CIC biomaGUNE, Basque Research and Technology Alliance (BRTA), Paseo Miramon 182, Donostia/San Sebastian, Gipuzkoa 20014, Spain

Funding

Division of Chemical, Bioengineering, Environmental, and Transport Systems

References (70)

Show source-provided references
1. 10.1007/s12035-018-0880-810.1007/s12035-018-0880-8 ↗
2. 10.15252/emmm.20130262710.15252/emmm.201302627 ↗
3. 10.1188/16.CJON.S1.2-810.1188/16.CJON.S1.2-8 ↗
4. 10.1227/NEU.000000000000039010.1227/NEU.0000000000000390 ↗
5. 10.1186/s41016-020-00223-z10.1186/s41016-020-00223-z ↗
6. 10.3389/fonc.2013.0007410.3389/fonc.2013.00074 ↗
7. 10.1016/j.nbd.2003.12.01610.1016/j.nbd.2003.12.016 ↗
8. 10.1124/pr.117.01494410.1124/pr.117.014944 ↗
9. 10.1002/adma.20180136210.1002/adma.201801362 ↗
10. 10.1155/2014/86926910.1155/2014/869269 ↗
11. 10.1016/j.jconrel.2017.12.01510.1016/j.jconrel.2017.12.015 ↗
12. 10.3390/cells704002410.3390/cells7040024 ↗
13. 10.1007/BF0017245510.1007/BF00172455 ↗
14. 10.1073/pnas.070245010410.1073/pnas.0702450104 ↗
15. 10.1602/neurorx.2.1.310.1602/neurorx.2.1.3 ↗
16. 10.1002/adma.20160556310.1002/adma.201605563 ↗
17. 10.3389/fphar.2021.78670010.3389/fphar.2021.786700 ↗
18. 10.1080/1061186X.2016.122367610.1080/1061186X.2016.1223676 ↗
19. 10.1039/C6CS00076B10.1039/C6CS00076B ↗
20. 10.1038/natrevmats.2017.5610.1038/natrevmats.2017.56 ↗
21. 10.1038/nrg397810.1038/nrg3978 ↗
22. 10.1016/j.tibtech.2017.11.00610.1016/j.tibtech.2017.11.006 ↗
23. 10.1016/j.tibtech.2013.04.00410.1016/j.tibtech.2013.04.004 ↗
24. 10.32607/20758251-2014-6-3-19-4010.32607/20758251-2014-6-3-19-40 ↗
25. 10.1016/j.cell.2013.06.04410.1016/j.cell.2013.06.044 ↗
26. 10.1038/nature0786310.1038/nature07863 ↗
27. 10.3390/bioengineering802001610.3390/bioengineering8020016 ↗
28. 10.7150/thno.1944310.7150/thno.19443 ↗
29. 10.3390/cells603002610.3390/cells6030026 ↗
30. 10.3390/cells806057110.3390/cells8060571 ↗
31. 10.1016/j.conb.2016.11.01110.1016/j.conb.2016.11.011 ↗
32. 10.1016/j.stem.2017.06.00410.1016/j.stem.2017.06.004 ↗
33. 10.3389/fonc.2020.0138710.3389/fonc.2020.01387 ↗
34. 10.1007/s40259-017-0234-510.1007/s40259-017-0234-5 ↗
35. 10.3389/fbioe.2021.70103110.3389/fbioe.2021.701031 ↗
36. 10.1002/cpmb.4810.1002/cpmb.48 ↗
37. 10.4081/ejh.2019.304810.4081/ejh.2019.3048 ↗
38. 10.1038/srep2587910.1038/srep25879 ↗
39. 10.1155/2015/45862410.1155/2015/458624 ↗
40. 10.1016/j.biomaterials.2007.07.02310.1016/j.biomaterials.2007.07.023 ↗
41. 10.1002/app.4937710.1002/app.49377 ↗
42. Rodgers, T. M. Engineering Biomimetic Carriers as Gene Editing Platforms for Treating Brain Tumors. Ph.D., The University of Texas at San Antonio, United States - Texas, 2022.
43. 10.1002/macp.20110050110.1002/macp.201100501 ↗
44. 10.1007/BF0133793710.1007/BF01337937 ↗
45. 10.1021/ac201778h10.1021/ac201778h ↗
46. 10.3389/fncel.2019.0023010.3389/fncel.2019.00230 ↗
47. 10.1007/s11095-014-1545-610.1007/s11095-014-1545-6 ↗
48. 10.1002/slct.20170158010.1002/slct.201701580 ↗
49. 10.1007/s00418-015-1351-110.1007/s00418-015-1351-1 ↗
50. 10.1016/j.jconrel.2016.06.01710.1016/j.jconrel.2016.06.017 ↗
51. 10.1088/1742-6596/733/1/01203910.1088/1742-6596/733/1/012039 ↗
52. 10.1007/s11051-008-9435-710.1007/s11051-008-9435-7 ↗
53. 10.1016/j.biomaterials.2015.01.04910.1016/j.biomaterials.2015.01.049 ↗
54. 10.1016/j.biomaterials.2016.06.00510.1016/j.biomaterials.2016.06.005 ↗
55. 10.1016/j.ijpharm.2021.12128910.1016/j.ijpharm.2021.121289 ↗
56. 10.1016/j.stemcr.2017.02.02110.1016/j.stemcr.2017.02.021 ↗
57. 10.1016/j.ejps.2010.11.00510.1016/j.ejps.2010.11.005 ↗
58. 10.1111/bph.1310610.1111/bph.13106 ↗
59. Nikandish N. · Iran. J. Pharm. Res. · 2016 · 15 · 403
60. 10.1016/j.ab.2005.08.02910.1016/j.ab.2005.08.029 ↗
61. 10.1038/sj.gt.330153210.1038/sj.gt.3301532 ↗
62. 10.1023/A:101605462354310.1023/A:1016054623543 ↗
63. 10.3389/fgeed.2021.73763210.3389/fgeed.2021.737632 ↗
64. 10.1101/gr.219089.11610.1101/gr.219089.116 ↗
65. 10.1016/j.ymthe.2020.09.03210.1016/j.ymthe.2020.09.032 ↗
66. 10.1016/j.msec.2017.12.02910.1016/j.msec.2017.12.029 ↗
67. 10.1016/j.jns.2004.06.01510.1016/j.jns.2004.06.015 ↗
68. 10.3390/ijms2114491810.3390/ijms21144918 ↗
69. 10.3390/molecules2310256410.3390/molecules23102564 ↗
70. 10.4149/bll_2018_12510.4149/bll_2018_125 ↗