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A genetically encoded adhesin toolbox for programming multicellular morphologies and patterns

David S. Glass, Ingmar H. Riedel-Kruse
doi: https://doi.org/10.1101/240721
David S. Glass
1Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
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Ingmar H. Riedel-Kruse
1Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
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Abstract

Synthetic multicellular systems hold promise for understanding natural development of biofilms and higher organisms1,2, as well as for engineering complex multi-component metabolic pathways2,3 and materials4. However, such efforts will require tools to adhere cells into defined morphologies and patterns, and these tools are currently lacking1,5,6. Here we report the first 100% genetically encoded synthetic platform for modular cell-cell adhesion in Escherichia coli, which provides control over multicellular self-assembly. Adhesive selectivity is provided by a library of outer membrane-displayed nanobody7,8 and antigen peptides with orthogonal intra-library specificities, while affinity is controlled by intrinsic adhesin affinity, competitive inhibition, and inducible expression. We demonstrate the resulting capabilities for rational design of well-defined morphologies and patterns through homophilic and heterophilic interactions, lattice-like self-assembly, phase separation, differential adhesion, and sequential layering. This adhesion toolbox, compatible with synthetic biology standards9, will enable construction of high-level multicellular designs and shed light on the evolutionary transition to multicellularity6,10.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted December 31, 2017.
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A genetically encoded adhesin toolbox for programming multicellular morphologies and patterns
David S. Glass, Ingmar H. Riedel-Kruse
bioRxiv 240721; doi: https://doi.org/10.1101/240721
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A genetically encoded adhesin toolbox for programming multicellular morphologies and patterns
David S. Glass, Ingmar H. Riedel-Kruse
bioRxiv 240721; doi: https://doi.org/10.1101/240721

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