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Acoustically shaped DNA-programmable materials

Author

Listed:
  • Z. A. Arnon

    (Columbia University)

  • S. Piperno

    (Bar-Ilan University)

  • D. C. Redeker

    (Columbia University)

  • E. Randall

    (Columbia University)

  • A. V. Tkachenko

    (Brookhaven National Laboratory)

  • H. Shpaisman

    (Bar-Ilan University)

  • O. Gang

    (Columbia University
    Brookhaven National Laboratory
    Columbia University)

Abstract

Recent advances in DNA nanotechnology allow for the assembly of nanocomponents with nanoscale precision, leading to the emergence of DNA-based material fabrication approaches. Yet, transferring these nano- and micron-scale structural arrangements to the macroscale morphologies remains a challenge, which limits the development of materials and devices based on DNA nanotechnology. Here, we demonstrate a materials fabrication approach that combines DNA-programmable assembly with actively driven processes controlled by acoustic fields. This combination provides a prescribed nanoscale order, as dictated by equilibrium assembly through DNA-encoded interactions, and field-shaped macroscale morphology, as regulated by out-of-equilibrium materials formation through specific acoustic stimulation. Using optical and electron microscopy imaging and x-ray scattering, we further revealed the nucleation processes, domain fusion, and crystal growth under different acoustically stimulated conditions. The developed approach provides a pathway for the fabrication of complexly shaped macroscale morphologies for DNA-programmable nanomaterials by controlling spatiotemporal characteristics of the acoustic fields.

Suggested Citation

  • Z. A. Arnon & S. Piperno & D. C. Redeker & E. Randall & A. V. Tkachenko & H. Shpaisman & O. Gang, 2024. "Acoustically shaped DNA-programmable materials," Nature Communications, Nature, vol. 15(1), pages 1-8, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-51049-7
    DOI: 10.1038/s41467-024-51049-7
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    References listed on IDEAS

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    1. Kaushik Roy & Akhilesh Jaiswal & Priyadarshini Panda, 2019. "Towards spike-based machine intelligence with neuromorphic computing," Nature, Nature, vol. 575(7784), pages 607-617, November.
    2. Kai Melde & Andrew G. Mark & Tian Qiu & Peer Fischer, 2016. "Holograms for acoustics," Nature, Nature, vol. 537(7621), pages 518-522, September.
    3. Shih-Ting Wang & Brian Minevich & Jianfang Liu & Honghu Zhang & Dmytro Nykypanchuk & James Byrnes & Wu Liu & Lev Bershadsky & Qun Liu & Tong Wang & Gang Ren & Oleg Gang, 2021. "Designed and biologically active protein lattices," Nature Communications, Nature, vol. 12(1), pages 1-11, December.
    4. Jianping Zheng & Jens J. Birktoft & Yi Chen & Tong Wang & Ruojie Sha & Pamela E. Constantinou & Stephan L. Ginell & Chengde Mao & Nadrian C. Seeman, 2009. "From molecular to macroscopic via the rational design of a self-assembled 3D DNA crystal," Nature, Nature, vol. 461(7260), pages 74-77, September.
    5. Yuanwei Li & Wenjie Zhou & Ibrahim Tanriover & Wisnu Hadibrata & Benjamin E. Partridge & Haixin Lin & Xiaobing Hu & Byeongdu Lee & Jianfang Liu & Vinayak P. Dravid & Koray Aydin & Chad A. Mirkin, 2022. "Open-channel metal particle superlattices," Nature, Nature, vol. 611(7937), pages 695-701, November.
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