journal article·2026-06Open access

Hybrid Multiphoton Lithography Scaffolds for Nanoscale Mechanobiological Assessment in Microscale Bone Models

Christoph Naderer, Eleni Priglinger, Martina Ramsauer, Cornelia Bergmayr, Tobias Gotterbarm, Sofia Danilchenko, Dmitry Sivun, Jaroslaw Jacak

Small· Volume 22· Issue 33

Abstract

ABSTRACT We present a new hybrid 3D scaffold, fabricated via MultiPhoton Lithography (MPL), that integrates synthetic polymers (BisSR/CEA) with methacrylated collagen type I (Coll‐MA) and enables geometry‐dependent single‐cell confinement in most cages, while allowing cell–cell contact when the scaffold design permits multiple occupancy. We showcase that nanoscale structures with feature sizes down to hundreds of nanometers and locally tunable mechanical properties (kPa to MPa) can be achieved. Scaffold bioactivity is confirmed using 3D Single‐Molecule Localization Microscopy (SMLM). We quantified the dynamic 3D behavior of vinculin through its mechanoresponsive nanoscale localization. Notably, vinculin dynamics was independent of scaffold composition, including geometry, mechanical properties, and biodegradability. In contrast, collagen I and osteocalcin expression levels were strongly elevated in cells confined by hybrid scaffolds, indicating that scaffold bioactivity and geometry, rather than stiffness, govern stem cell fate. Our platform combines precisely tunable micro‐ and nanoscale environments mimicking extracellular matrix (ECM) features with super‐resolution imaging. This 3D tissue scaffold is component compatible with subsequent Organ‐on‐a‐Chip chamber integration and supports physiologically relevant bone tissue models.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Cellular Mechanics and Interactions · Force Microscopy Techniques and Applications · Advanced Fluorescence Microscopy Techniques

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

Affiliations

Josef Ressel Centre For Materials Engineering in Soft Tissue Regeneration Department of Medical Engineering University of Applied Sciences Upper Austria Linz Austria

Austrian Cluster for Tissue Regeneration Vienna Austria

Department for Orthopedics and Traumatology Johannes Kepler University Linz Kepler University Hospital Linz Austria

AUVA Research Center Ludwig Boltzmann Institute For Experimental and Clinical Traumatology Vienna Austria

Funding

Austrian Science Fund · Christian Doppler Forschungsgesellschaft

References (100+)

Show source-provided references
1. 10.1016/j.actbio.2021.03.01610.1016/j.actbio.2021.03.016 ↗
2. 10.3389/fbioe.2022.82415610.3389/fbioe.2022.824156 ↗
3. 10.1038/s41598‐022‐18675‐x10.1038/s41598‐022‐18675‐x ↗
4. 10.1186/s13036‐023‐00395‐z10.1186/s13036‐023‐00395‐z ↗
5. 10.1016/j.bioactmat.2023.01.01610.1016/j.bioactmat.2023.01.016 ↗
6. 10.1002/agt2.19710.1002/agt2.197 ↗
7. 10.1038/s41467‐024‐45710‐410.1038/s41467‐024‐45710‐4 ↗
8. 10.1002/adfm.20140139010.1002/adfm.201401390 ↗
9. 10.1515/ntrev‐2020‐010310.1515/ntrev‐2020‐0103 ↗
10. 10.1186/s12951-020-00762-810.1186/s12951-020-00762-8 ↗
11. 10.3390/mi1203027310.3390/mi12030273 ↗
12. 10.1021/acs.bioconjchem.1c0036710.1021/acs.bioconjchem.1c00367 ↗
13. 10.3390/ijms23221427010.3390/ijms232214270 ↗
14. 10.1186/s12951‐022‐01277‐010.1186/s12951‐022‐01277‐0 ↗
15. 10.3390/bioengineering1007075910.3390/bioengineering10070759 ↗
16. 10.1007/s00170‐023‐11344‐x10.1007/s00170‐023‐11344‐x ↗
17. 10.1016/j.eurpolymj.2024.11325110.1016/j.eurpolymj.2024.113251 ↗
18. 10.1002/adhm.20220276610.1002/adhm.202202766 ↗
19. 10.1364/OL.22.00013210.1364/OL.22.000132 ↗
20. 10.1021/acsaom.3c0003110.1021/acsaom.3c00031 ↗
21. 10.1039/D0NA00154F10.1039/D0NA00154F ↗
22. 10.1088/1758‐5090/abb53910.1088/1758‐5090/abb539 ↗
23. 10.1021/acs.nanolett.5c0280410.1021/acs.nanolett.5c02804 ↗
24. 10.1016/j.addma.2024.10460110.1016/j.addma.2024.104601 ↗
25. 10.1063/1.271753210.1063/1.2717532 ↗
26. 10.1364/OE.15.00342610.1364/OE.15.003426 ↗
27. 10.2351/1.473080710.2351/1.4730807 ↗
28. 10.2351/1.471215110.2351/1.4712151 ↗
29. 10.1038/s41467‐022‐29036‐710.1038/s41467‐022‐29036‐7 ↗
30. 10.1364/OME.1.00061410.1364/OME.1.000614 ↗
31. 10.1016/S0167‐7799(98)01191‐310.1016/S0167‐7799(98)01191‐3 ↗
32. 10.1016/j.actbio.2009.05.00710.1016/j.actbio.2009.05.007 ↗
33. 10.1016/j.biomaterials.2010.05.05510.1016/j.biomaterials.2010.05.055 ↗
34. 10.1016/j.polymdegradstab.2010.06.00710.1016/j.polymdegradstab.2010.06.007 ↗
35. 10.1002/jbm.b.3354710.1002/jbm.b.33547 ↗
36. 10.3390/macromol303003110.3390/macromol3030031 ↗
37. 10.1016/j.actbio.2017.09.00710.1016/j.actbio.2017.09.007 ↗
38. 10.1002/adhm.20200198610.1002/adhm.202001986 ↗
39. 10.1021/la803803m10.1021/la803803m ↗
40. 10.1016/j.actbio.2022.03.01010.1016/j.actbio.2022.03.010 ↗
41. 10.1021/acsmacrolett.3c0017310.1021/acsmacrolett.3c00173 ↗
42. 10.1016/j.eurpolymj.2024.11303710.1016/j.eurpolymj.2024.113037 ↗
43. 10.1039/b813897d10.1039/b813897d ↗
44. 10.1021/acsami.8b1177710.1021/acsami.8b11777 ↗
45. 10.1039/D3LF00125C10.1039/D3LF00125C ↗
46. 10.37188/lam.2021.01710.37188/lam.2021.017 ↗
47. 10.1016/j.mtbio.2024.10099410.1016/j.mtbio.2024.100994 ↗
48. 10.18063/ijb.v6i3.27010.18063/ijb.v6i3.270 ↗
49. 10.1073/pnas.24132319810.1073/pnas.241323198 ↗
50. 10.1163/092050610X54069310.1163/092050610X540693 ↗
51. 10.1038/srep1720310.1038/srep17203 ↗
52. 10.1016/j.biomaterials.2004.11.03310.1016/j.biomaterials.2004.11.033 ↗
53. 10.1021/bm049258y10.1021/bm049258y ↗
54. 10.1002/jbm.a.3595910.1002/jbm.a.35959 ↗
55. 10.1002/adma.20160434210.1002/adma.201604342 ↗
56. 10.1016/j.msec.2021.11193310.1016/j.msec.2021.111933 ↗
57. 10.1002/advs.20180044810.1002/advs.201800448 ↗
58. 10.1016/j.apsusc.2019.05.06510.1016/j.apsusc.2019.05.065 ↗
59. 10.1016/B978‐0‐12‐415853‐5.00019‐410.1016/B978‐0‐12‐415853‐5.00019‐4 ↗
60. 10.1016/j.biomaterials.2016.01.02410.1016/j.biomaterials.2016.01.024 ↗
61. 10.1038/s41413‐022‐00223‐y10.1038/s41413‐022‐00223‐y ↗
62. 10.1016/j.biomaterials.2014.01.06310.1016/j.biomaterials.2014.01.063 ↗
63. 10.1073/pnas.142189711210.1073/pnas.1421897112 ↗
64. 10.1039/C7CS00445A10.1039/C7CS00445A ↗
65. 10.1039/D0TB00253D10.1039/D0TB00253D ↗
66. 10.1039/D0TB02008G10.1039/D0TB02008G ↗
67. 10.1097/01.moh.0000245697.54887.6f10.1097/01.moh.0000245697.54887.6f ↗
68. 10.1038/nri239510.1038/nri2395 ↗
69. 10.1186/s13045‐021‐01037‐x10.1186/s13045‐021‐01037‐x ↗
70. 10.1186/s13287‐022‐03054‐010.1186/s13287‐022‐03054‐0 ↗
71. 10.1089/ten.tea.2018.023710.1089/ten.tea.2018.0237 ↗
72. 10.1093/burnst/tkaa02910.1093/burnst/tkaa029 ↗
73. 10.1002/adhm.20190092910.1002/adhm.201900929 ↗
74. 10.1126/sciadv.abb847110.1126/sciadv.abb8471 ↗
75. 10.1039/D0BM02194F10.1039/D0BM02194F ↗
76. 10.1002/adhm.20200150210.1002/adhm.202001502 ↗
77. 10.1016/j.cell.2006.06.04410.1016/j.cell.2006.06.044 ↗
78. 10.1038/nmat273210.1038/nmat2732 ↗
79. 10.1038/nmat333910.1038/nmat3339 ↗
80. 10.1038/nmat448910.1038/nmat4489 ↗
81. 10.1002/jbmr.27810.1002/jbmr.278 ↗
82. 10.1016/j.bpj.2017.03.03910.1016/j.bpj.2017.03.039 ↗
83. 10.1371/journal.pcbi.100299510.1371/journal.pcbi.1002995 ↗
84. 10.1016/j.cub.2013.01.00910.1016/j.cub.2013.01.009 ↗
85. 10.1002/cbin.1056310.1002/cbin.10563 ↗
86. 10.1073/pnas.090326910710.1073/pnas.0903269107 ↗
87. 10.1007/s13770‐019‐00213‐y10.1007/s13770‐019‐00213‐y ↗
88. 10.3390/polym1623330310.3390/polym16233303 ↗
89. 10.1152/ajplung.00311.202010.1152/ajplung.00311.2020 ↗
90. 10.1002/ctm2.65010.1002/ctm2.650 ↗
91. 10.4252/wjsc.v7.i4.72810.4252/wjsc.v7.i4.728 ↗
92. 10.1007/s10856-021-06548-010.1007/s10856-021-06548-0 ↗
93. 10.1038/s41392‐024‐01888‐z10.1038/s41392‐024‐01888‐z ↗
94. 10.1021/acsami.7b1318310.1021/acsami.7b13183 ↗
95. 10.1016/j.tcb.2022.03.00210.1016/j.tcb.2022.03.002 ↗
96. 10.3389/fphys.2022.83648010.3389/fphys.2022.836480 ↗
97. 10.1186/s12929‐024‐00994‐y10.1186/s12929‐024‐00994‐y ↗
98. 10.3390/ijms1904115010.3390/ijms19041150 ↗
99. M.Ester H.‐P.Kriegel J.Sander andX.Xu Proceedings of the Second International Conference on Knowledge Discovery and Data Mining(AAAI Press 1996) 226–231.
100. 10.1371/journal.pcbi.100790210.1371/journal.pcbi.1007902 ↗