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  5. Protein Bricks: 2D and 3D Bio‐Nanostructures with Shape and Function on Demand

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Article
en
2018

Protein Bricks: 2D and 3D Bio‐Nanostructures with Shape and Function on Demand

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0 Files

en
2018
Vol 30 (20)
Vol. 30
DOI: 10.1002/adma.201705919

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David Kaplan
David Kaplan

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Jianjuan Jiang
Shaoqing Zhang
Zhi‐Gang Qian
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Abstract

Precise patterning of polymer-based biomaterials for functional bio-nanostructures has extensive applications including biosensing, tissue engineering, and regenerative medicine. Remarkable progress is made in both top-down (based on lithographic methods) and bottom-up (via self-assembly) approaches with natural and synthetic biopolymers. However, most methods only yield 2D and pseudo-3D structures with restricted geometries and functionalities. Here, it is reported that precise nanostructuring on genetically engineered spider silk by accurately directing ion and electron beam interactions with the protein's matrix at the nanoscale to create well-defined 2D bionanopatterns and further assemble 3D bionanoarchitectures with shape and function on demand, termed "Protein Bricks." The added control over protein sequence and molecular weight of recombinant spider silk via genetic engineering provides unprecedented lithographic resolution (approaching the molecular limit), sharpness, and biological functions compared to natural proteins. This approach provides a facile method for patterning and immobilizing functional molecules within nanoscopic, hierarchical protein structures, which sheds light on a wide range of biomedical applications such as structure-enhanced fluorescence and biomimetic microenvironments for controlling cell fate.

How to cite this publication

Jianjuan Jiang, Shaoqing Zhang, Zhi‐Gang Qian, Nan Qin, Wenwen Song, Long Sun, Zhitao Zhou, Zhifeng Shi, Liang Chen, Xinxin Li, Ying Mao, David Kaplan, Stephanie N. Gilbert Corder, Xinzhong Chen, Mengkun Liu, Fiorenzo G. Omenetto, Xiao‐Xia Xia, Tiger H. Tao (2018). Protein Bricks: 2D and 3D Bio‐Nanostructures with Shape and Function on Demand. , 30(20), DOI: https://doi.org/10.1002/adma.201705919.

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Publication Details

Type

Article

Year

2018

Authors

18

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1002/adma.201705919

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