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A Synthetic Bacterial Cell-Cell Adhesion Toolbox for Programming Multicellular Morphologies and Patterns.
Glass, David S; Riedel-Kruse, Ingmar H.
Affiliation
  • Glass DS; Department of Bioengineering, Stanford University, 318 Campus Drive, Stanford, CA 94305, USA.
  • Riedel-Kruse IH; Department of Bioengineering, Stanford University, 318 Campus Drive, Stanford, CA 94305, USA. Electronic address: ingmar@stanford.edu.
Cell ; 174(3): 649-658.e16, 2018 07 26.
Article in En | MEDLINE | ID: mdl-30033369
ABSTRACT
Synthetic multicellular systems hold promise as models for understanding natural development of biofilms and higher organisms and as tools for engineering complex multi-component metabolic pathways and materials. However, such efforts require tools to adhere cells into defined morphologies and patterns, and these tools are currently lacking. Here, we report a 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 nanobodies and antigens with orthogonal intra-library specificities, while affinity is controlled by intrinsic adhesin affinity, competitive inhibition, and inducible expression. We demonstrate the resulting capabilities for quantitative rational design of well-defined morphologies and patterns through homophilic and heterophilic interactions, lattice-like self-assembly, phase separation, differential adhesion, and sequential layering. Compatible with synthetic biology standards, this adhesion toolbox will enable construction of high-level multicellular designs and shed light on the evolutionary transition to multicellularity.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cell Adhesion / Synthetic Biology / Metabolic Engineering Language: En Journal: Cell Year: 2018 Type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cell Adhesion / Synthetic Biology / Metabolic Engineering Language: En Journal: Cell Year: 2018 Type: Article Affiliation country: United States