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Cooperative cargo transportation by a swarm of molecular machines

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Title: Cooperative cargo transportation by a swarm of molecular machines
Authors: Akter, M. Browse this author
Keya, J. J. Browse this author
Kayano, K. Browse this author
Kabir, A. M. R. Browse this author
Inoue, D. Browse this author
Hess, H. Browse this author
Sada, K. Browse this author
Kuzuya, A. Browse this author
Asanuma, H. Browse this author
Kakugo, A. Browse this author →KAKEN DB
Issue Date: Apr-2022
Publisher: The American Association for the Advancement of Science(AAAS)
Journal Title: Science Robotics
Volume: 7
Issue: 65
Start Page: eabm0677
Publisher DOI: 10.1126/scirobotics.abm0677
Abstract: Cooperation is a strategy that has been adopted by groups of organisms to execute complex tasks more efficiently than single entities. Cooperation increases the robustness and flexibility of the working groups and permits sharing of the workload among individuals. However, the utilization of this strategy in artificial systems at the molecular level, which could enable substantial advances in microrobotics and nanotechnology, remains highly challenging. Here, we demonstrate molecular transportation through the cooperative action of a large number of artificial molecular machines, photoresponsive DNA-conjugated microtubules driven by kinesin motor proteins. Mechanical communication via conjugated photoresponsive DNA enables these microtubules to organize into groups upon photoirradiation. The groups of transporters load and transport cargo, and cargo unloading is achieved by dissociating the groups into single microtubules. The group formation permits the loading and transport of cargoes with larger sizes and in larger numbers over long distances compared with single transporters. We also demonstrate that cargo can be collected at user-determined locations defined by ultraviolet light exposure. This work demonstrates cooperative task performance by molecular machines, which will help to construct molecular robots with advanced functionalities in the future.
Rights: This is the author’s version of the work. It is posted here by permission of the AAAS for personal use, not for redistribution. The definitive version was published in Science Robotics on Vol 7, Issue 65, 20 Apr 2022, DOI: 10.1126/scirobotics.abm0677.
Type: article (author version)
Appears in Collections:理学院・理学研究院 (Graduate School of Science / Faculty of Science) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 角五 彰

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