Modular synthetic tissues from 3D‐printed building blocks
File(s)
Author(s)
Alcinesio, Alessandro
Cazimoglu, Idil
Kimmerly, Gabriella Raye
Restrepo Schild, Vanessa
Krishna Kumar, Ravinash
Type
Journal Article
Abstract
Biology employs modular organization at every scale: molecular building blocks make up living cells, specialized cells organize within tissues, and collections of tissues constitute organs. 3D-printed networks of picoliter-sized aqueous compartments interconnected by lipid bilayers form a powerful platform for building precisely patterned synthetic tissues. However, this technology has been limited to millimeter-sized networks, with slow fabrication times and lacking flexible design. Here, the authors apply modular design to construct modular synthetic tissues by assembling a wide range of 3D-printed building blocks. They use dedicated modules for storing and releasing reagents, performing logic operations, responding to magnetic fields, and encapsulating living cells. They build centimeter-sized synthetic tissues able to transmit electrical signals through thousands of interconnected compartments. They assemble hybrid tissues composed of both synthetic modules and modules containing living cells. Lastly, by incorporating mutant protein nanopores within the building blocks, they assemble modular synthetic tissues with electrical outputs that are modulated by the integration of chemical inputs.
Date Issued
2022-02-09
Date Acceptance
2021-10-06
Citation
Advanced Functional Materials, 2022, 32 (7)
ISSN
1616-301X
Publisher
Wiley
Journal / Book Title
Advanced Functional Materials
Volume
32
Issue
7
Copyright Statement
© 2021 The Authors. Advanced Functional Materials published by Wiley-VCH GmbH
This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
License URL
Identifier
http://dx.doi.org/10.1002/adfm.202107773
Publication Status
Published
Article Number
2107773
Date Publish Online
2021-11-05