journal article·2026-06Open access

Bottom‐Up Synthesis and Active Assembly of DNA Networks by Biomolecular Nanomachines

Farhana Afroze, Richard J Archer, Mahammad Mustakim, Rakesh Das, Arif Md. Rashedul Kabir, Yuuto Miura, Rubaya Rashid, Kazuki Sada, Tetsuya Hiraiwa, Shin‐ichiro M. Nomura, Shogo Hamada, Akira Kakugo

Small· Volume 22· Issue 36

Abstract

ABSTRACT Active assembly of matter is a defining trait of living systems, enabling the creation of far‐from‐equilibrium materials essential for the functionality of life. This is achieved through energy‐dissipative, multi‐step processes facilitated by biomolecular nanomachines performing bottom‐up chemical and mechanical assembly of matter. Mimicking such active assembly synthetically remains a challenge. Here, a bio‐inspired bottom‐up strategy for energy‐dissipative material assembly, driven by biomolecular nanomachines and overcoming thermodynamic and diffusive constraints, is demonstrated. Specifically, two chemically‐fueled biomolecular nanomachines—DNA polymerase and kinesin—are used to demonstrate a multi‐step chemical synthesis and mechanical manipulation process. This results in a DNA biopolymer network with complex hierarchical morphologies unattainable by self‐assembly alone. DNA polymerase generates DNA, which forms a fibrous 2D‐network when actively connected and pulled between kinesin‐powered motile microtubules. Experimental data and simulations show that both DNA‐DNA interactions and active mechanical forces from molecular motors are essential to this process. Furthermore, key factors for network formation are investigated by systematically investigating DNA polymerase incubation time and microtubule density. The present work provides a key step toward bottom‐up fabrication of complex and dynamic materials by mimicking the sophisticated assembly strategies of living systems, potentially providing a framework for future materials assembled by nanomachines.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Micro and Nano Robotics · Advanced biosensing and bioanalysis techniques · Modular Robots and Swarm Intelligence

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

Affiliations

Department of Chemistry Faculty of Science Hokkaido University Sapporo Japan

Department of Robotics Graduate School of Engineering Tohoku University Sendai Japan

Department of Computer Science School of Computing Institute of Science Tokyo Yokohama Japan

Laboratory for Chemistry and Life Science Dept. Life Science and Technology Institute of Science Tokyo Yokohama Japan

Institute of Physics Academia Sinica Taipei Taiwan

Max Planck Institute for the Physics of Complex Systems Dresden Germany

Department of Physics and Astronomy Graduate School of Science Kyoto University Kyoto Japan

Physics Division National Center for Theoretical Sciences Taipei Taiwan

Biomolecular Design Institute CBI Research Institute Tokyo Japan

Research Center for Autonomous Systems Materialogy Institute of Science Tokyo Yokohama Japan

References (54)

Show source-provided references
1. 10.1146/annurev.bi.34.070165.00231310.1146/annurev.bi.34.070165.002313 ↗
2. 10.2976/1.305471210.2976/1.3054712 ↗
3. 10.1002/syst.20190003010.1002/syst.201900030 ↗
4. 10.1073/pnas.162000111410.1073/pnas.1620001114 ↗
5. 10.1039/C7CS00030H10.1039/C7CS00030H ↗
6. 10.1073/pnas.15232989910.1073/pnas.152329899 ↗
7. 10.1021/acscentsci.0c0149610.1021/acscentsci.0c01496 ↗
8. 10.1002/anie.20200664810.1002/anie.202006648 ↗
9. 10.1039/c2cs15286j10.1039/c2cs15286j ↗
10. 10.1038/s41596‐021‐00621‐210.1038/s41596‐021‐00621‐2 ↗
11. 10.1016/j.biotechadv.2011.09.01610.1016/j.biotechadv.2011.09.016 ↗
12. 10.1126/scirobotics.aaw351210.1126/scirobotics.aaw3512 ↗
13. 10.1021/la202449910.1021/la2024499 ↗
14. 10.1038/s41467‐017‐02778‐510.1038/s41467‐017‐02778‐5 ↗
15. 10.1016/j.mattod.2015.04.00210.1016/j.mattod.2015.04.002 ↗
16. 10.1126/scirobotics.aal373510.1126/scirobotics.aal3735 ↗
17. 10.1126/science.112425810.1126/science.1124258 ↗
18. 10.1039/c004615a10.1039/c004615a ↗
19. 10.1073/pnas.090397410610.1073/pnas.0903974106 ↗
20. 10.1016/j.cub.2007.02.01210.1016/j.cub.2007.02.012 ↗
21. 10.1242/jcs.24838510.1242/jcs.248385 ↗
22. 10.1016/j.mib.2011.09.01510.1016/j.mib.2011.09.015 ↗
23. 10.1038/nature0890810.1038/nature08908 ↗
24. 10.1016/j.ceb.2007.11.00610.1016/j.ceb.2007.11.006 ↗
25. 10.1038/s41567‐019‐0464‐110.1038/s41567‐019‐0464‐1 ↗
26. 10.1002/adma.20150258310.1002/adma.201502583 ↗
27. 10.1021/ja408635310.1021/ja4086353 ↗
28. 10.1038/ncomms1589510.1038/ncomms15895 ↗
29. 10.1126/science.aac610310.1126/science.aac6103 ↗
30. 10.1016/j.copbio.2016.10.01410.1016/j.copbio.2016.10.014 ↗
31. 10.1002/cnma.20180016910.1002/cnma.201800169 ↗
32. 10.1007/978-1-0716-1983-4_310.1007/978-1-0716-1983-4_3 ↗
33. 10.1021/acs.nanolett.9b0120110.1021/acs.nanolett.9b01201 ↗
34. 10.1039/D0CC03124K10.1039/D0CC03124K ↗
35. 10.1039/C5NR02213D10.1039/C5NR02213D ↗
36. 10.1039/C6RA27449H10.1039/C6RA27449H ↗
37. 10.1016/j.bbrc.2021.05.03710.1016/j.bbrc.2021.05.037 ↗
38. 10.3389/fphys.2014.0043210.3389/fphys.2014.00432 ↗
39. 10.1021/acsnano.1c0471110.1021/acsnano.1c04711 ↗
40. 10.1002/ar.2059910.1002/ar.20599 ↗
41. 10.1007/s00216‐008‐2125‐610.1007/s00216‐008‐2125‐6 ↗
42. 10.1002/smll.20060011210.1002/smll.200600112 ↗
43. 10.1021/nl034504h10.1021/nl034504h ↗
44. 10.1039/D2CP03879J10.1039/D2CP03879J ↗
45. 10.1002/adfm.20220186610.1002/adfm.202201866 ↗
46. 10.1002/marc.20240112810.1002/marc.202401128 ↗
47. 10.1021/acsmacrolett.1c0050010.1021/acsmacrolett.1c00500 ↗
48. 10.1073/pnas.220952211910.1073/pnas.2209522119 ↗
49. 10.1073/pnas.211589511910.1073/pnas.2115895119 ↗
50. 10.1063/5.009940510.1063/5.0099405 ↗
51. 10.1002/adma.20230371410.1002/adma.202303714 ↗
52. 10.1021/jacs.4c0209410.1021/jacs.4c02094 ↗
53. 10.1038/ncomms999910.1038/ncomms9999 ↗
54. Nanomotors: 20 Years Anniversary and Future Roadmap