Transport and self-organization across different length scales powered by motor proteins and programmed by DNA

Wollman, Adam J. M.; Sanchez‐Cano, Carlos; Carstairs, Helen M. J.; Cross, Robert A.; Turberfield, Andrew J.

doi:10.1038/nnano.2013.230

Cited by 83 publications

(75 citation statements)

References 31 publications

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“…However, state-of-the-art protein engineering has been shown to imbue kinesins with controllability 142 , and the integration of DNA building blocks has enabled programmability 164 (Fig. 8d).…”

Section: Engineering Autonomous Molecular Robotsmentioning

confidence: 99%

Non-equilibrium assembly of microtubules: from molecules to autonomous chemical robots

2017

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Biological systems have evolved to harness non-equilibrium processes from the molecular to the macro scale. It is currently a grand challenge of chemistry, materials science, and engineering to understand and mimic biological systems that have the ability to autonomously sense stimuli, process these inputs, and respond by performing mechanical work. New chemical systems are responding to the challenge and form the basis for future responsive, adaptive, and active materials. In this article, we describe a particular biochemical-biomechanical network based on the microtubule cytoskeletal filament – itself a non-equilibrium chemical system. We trace the non-equilibrium aspects of the system from molecules to networks and describe how the cell uses this system to perform active work in essential processes. Finally, we discuss how microtubule-based engineered systems can serve as testbeds for autonomous chemical robots composed of biological and synthetic components.

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Section: Engineering Autonomous Molecular Robotsmentioning

confidence: 99%

Non-equilibrium assembly of microtubules: from molecules to autonomous chemical robots

2017

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“…In response to this consideration and taking inspiration from naturally occurring transport factors, proteins that bind a molecular cargo and release it only on an input-induced conformational change333435, here we have designed a new class of DNA-based nanomachines that can load and release a molecular cargo on the binding of a specific target antibody. The system we propose here is highly versatile and in principle, generalizable to any antibody for which an antigen can be attached to a DNA-anchoring strand.…”

Section: Discussionmentioning

confidence: 99%

Antibody-powered nucleic acid release using a DNA-based nanomachine

et al. 2017

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A wide range of molecular devices with nanoscale dimensions have been recently designed to perform a variety of functions in response to specific molecular inputs. Only limited examples, however, utilize antibodies as regulatory inputs. In response to this, here we report the rational design of a modular DNA-based nanomachine that can reversibly load and release a molecular cargo on binding to a specific antibody. We show here that, by using three different antigens (including one relevant to HIV), it is possible to design different DNA nanomachines regulated by their targeting antibody in a rapid, versatile and highly specific manner. The antibody-powered DNA nanomachines we have developed here may thus be useful in applications like controlled drug-release, point-of-care diagnostics and in vivo imaging.

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“…This way, when we finally have J * 0 (x 0 ), we obtain our solution * for optimization problem in (27). We now provide an analysis for the computational cost.…”

Section: Maximizing Efficiency In Closed Loopmentioning

confidence: 99%

“…For example, in eukaryotic cells, material is transported on microtubular networks by motor proteins (kinesin and dynein) [11,26]; a detailed understanding of the underlying transport mechanisms can play a significant role in realizing productive engineered transport systems at the molecular scale. Use of biological constructs to realize such systems has found recent focus [7,23,27]. However, considerable challenges remain on both the fundamental understanding of transport mechanisms at the molecular scale and related engineering tasks.…”

Section: Introductionmentioning

confidence: 99%