journal article·2025-05-20Open access

Nanotubes Growth by Self-Assembly of DNA Strands at Room Temperature

Laura Bourdon, Syed Pavel Afrose, Siddharth Agarwal, Debajyoti Das, Rajat Singh, Aurélie Di Cicco, Daniel Lévy, Ayako Yamada, Damien Baigl, Elisa Franco

ACS Nano· Volume 19· Issue 19

Abstract

Artificial biomolecular nanotubes are a promising approach to building materials mimicking the capacity of the cellular cytoskeleton to grow and self-organize dynamically. Nucleic acid nanotechnology has demonstrated a variety of self-assembling nanotubes with programmable, robust features and morphological similarities to actual cytoskeleton components. However, their production typically requires thermal annealing, which not only poses a general constraint on their potential applications but is also incompatible with physiological conditions. Here, we demonstrate that DNA nanotubes can self-assemble from a simple mixture of five short DNA strands at constant room temperature, growing for extended periods of time in bulk conditions as well as under confinement. Assembly is achieved using a monovalent salt buffer, which ensures a faithful nanoscale arrangement and avoids nanotube aggregation. We observe the formation of individual nanotubes up to 20 days with a diameter of 22 ± 4 nm and length of several tens of micrometers. We finally encapsulate the strands in microsized compartments, such as water-in-oil microdroplets and giant unilamellar vesicles serving as simple cell models. Notably, nanotubes not only isothermally self-assemble directly inside the microcompartments but also self-organize into dynamic higher-order structures resembling rings and dynamic networks. Our study provides an advantageous method for in situ assembly of programmable biomolecular scaffolds and materials using synthetic DNA strands without requirements of thermal treatment.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advanced biosensing and bioanalysis techniques · Bacteriophages and microbial interactions · DNA and Nucleic Acid Chemistry

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

Affiliations

PASTEUR, Department of Chemistry

École Normale Supérieure, PSL University, Sorbonne Université, CNRS

Department of Mechanical and Aerospace Engineering, University of California at Los Angeles, 420 Westwood Plaza, Los Angeles 90095, California, United States

Department of Medicine, David Geffen School of Medicine

University of California

Division of Digestive Diseases, David Geffen School of Medicine

Comprehensive Liver Research Center at University of California

Université PSL, Sorbonne Université, CNRS UMR168, Laboratoire Physico-Chimie Curie

Institut Curie

Funding

HORIZON EUROPE European Research Council · Basic Energy Sciences · Fondation pour la Recherche M?dicale · Institut Universitaire de France

References (53)

Show source-provided references
1. 10.1039/C7CS00030H10.1039/C7CS00030H ↗
2. 10.1016/j.ceb.2018.10.00310.1016/j.ceb.2018.10.003 ↗
3. 10.1126/science.107082110.1126/science.1070821 ↗
4. 10.1038/natrevmats.2017.6810.1038/natrevmats.2017.68 ↗
5. 10.1038/nature0458610.1038/nature04586 ↗
6. 10.1021/acs.chemrev.6b0082510.1021/acs.chemrev.6b00825 ↗
7. 10.1021/ja044319l10.1021/ja044319l ↗
8. 10.1038/s41557-019-0251-810.1038/s41557-019-0251-8 ↗
9. 10.1038/s41467-021-23850-110.1038/s41467-021-23850-1 ↗
10. 10.1038/s41467-023-36875-510.1038/s41467-023-36875-5 ↗
11. 10.1038/s41467-024-46339-z10.1038/s41467-024-46339-z ↗
12. 10.1088/1367-2630/18/5/05500110.1088/1367-2630/18/5/055001 ↗
13. 10.1021/acs.bioconjchem.2c0031210.1021/acs.bioconjchem.2c00312 ↗
14. 10.1021/acsnano.1c1070310.1021/acsnano.1c10703 ↗
15. 10.1038/nature0801610.1038/nature08016 ↗
16. 10.1126/science.108938910.1126/science.1089389 ↗
17. 10.1038/ncomms588910.1038/ncomms5889 ↗
18. 10.1038/ncomms905210.1038/ncomms9052 ↗
19. 10.1038/nature2465510.1038/nature24655 ↗
20. 10.1038/nature2465110.1038/nature24651 ↗
21. 10.1016/j.chembiol.2004.05.02110.1016/j.chembiol.2004.05.021 ↗
22. 10.1038/nchem.57510.1038/nchem.575 ↗
23. 10.1038/3502052410.1038/35020524 ↗
24. 10.1002/anie.20210190910.1002/anie.202101909 ↗
25. 10.1021/ja307785r10.1021/ja307785r ↗
26. 10.1002/anie.20170872210.1002/anie.201708722 ↗
27. 10.1021/acs.nanolett.5b0476210.1021/acs.nanolett.5b04762 ↗
28. 10.1021/jacs.9b0283610.1021/jacs.9b02836 ↗
29. 10.1098/rsfs.2023.001710.1098/rsfs.2023.0017 ↗
30. 10.1021/ja803019610.1021/ja8030196 ↗
31. 10.1002/anie.20130361110.1002/anie.201303611 ↗
32. 10.1126/science.122991910.1126/science.1229919 ↗
33. 10.1126/science.aan337710.1126/science.aan3377 ↗
34. 10.1038/s41565-023-01468-210.1038/s41565-023-01468-2 ↗
35. 10.1073/pnas.080873610610.1073/pnas.0808736106 ↗
36. 10.1038/s41467-020-19882-810.1038/s41467-020-19882-8 ↗
37. 10.1103/physrevlett.93.26830110.1103/physrevlett.93.268301 ↗
38. 10.1038/s41567-022-01917-010.1038/s41567-022-01917-0 ↗
39. 10.1021/ja804640910.1021/ja8046409 ↗
40. 10.1038/s41570-024-00606-110.1038/s41570-024-00606-1 ↗
41. 10.1038/nchem.186910.1038/nchem.1869 ↗
42. 10.1021/la062221+10.1021/la062221+ ↗
43. 10.1016/j.bpj.2008.09.02910.1016/j.bpj.2008.09.029 ↗
44. 10.1021/acs.analchem.1c0423810.1021/acs.analchem.1c04238 ↗
45. 10.1126/sciadv.abq483410.1126/sciadv.abq4834 ↗
46. 10.1038/s41467-019-13284-110.1038/s41467-019-13284-1 ↗
47. 10.1002/anie.20180777910.1002/anie.201807779 ↗
48. 10.1038/s43586-020-00009-810.1038/s43586-020-00009-8 ↗
49. 10.1016/j.trechm.2019.07.00610.1016/j.trechm.2019.07.006 ↗
50. 10.1038/s41586-019-1014-910.1038/s41586-019-1014-9 ↗
51. 10.1038/ncomms296510.1038/ncomms2965 ↗
52. McKinney, W. Data Structures for Statistical Computing in Python. Proceedings of the 9th Python in Science Conference ; Austin, TX, June 28−July 3, 2010; pp 56−61. 10.25080/Majora-92bf1922-00a10.25080/Majora-92bf1922-00a ↗
53. 10.7717/peerj.45310.7717/peerj.453 ↗