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Characterizing chemical signaling between engineered “microbial sentinels” in porous microplates

Living materials combine a material scaffold, that is often porous, with engineered cells that perform sensing, computing, and biosynthetic tasks. Designing such systems is difficult because little is known regarding signaling transport parameters in the material. Here, the development of a porous m...

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Detalles Bibliográficos
Autores principales: Vaiana, Christopher A, Kim, Hyungseok, Cottet, Jonathan, Oai, Keiko, Ge, Zhifei, Conforti, Kameron, King, Andrew M, Meyer, Adam J, Chen, Haorong, Voigt, Christopher A, Buie, Cullen R
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8938921/
https://www.ncbi.nlm.nih.gov/pubmed/35315586
http://dx.doi.org/10.15252/msb.202110785
Descripción
Sumario:Living materials combine a material scaffold, that is often porous, with engineered cells that perform sensing, computing, and biosynthetic tasks. Designing such systems is difficult because little is known regarding signaling transport parameters in the material. Here, the development of a porous microplate is presented. Hydrogel barriers between wells have a porosity of 60% and a tortuosity factor of 1.6, allowing molecular diffusion between wells. The permeability of dyes, antibiotics, inducers, and quorum signals between wells were characterized. A “sentinel” strain was constructed by introducing orthogonal sensors into the genome of Escherichia coli MG1655 for IPTG, anhydrotetracycline, L‐arabinose, and four quorum signals. The strain’s response to inducer diffusion through the wells was quantified up to 14 mm, and quorum and antibacterial signaling were measured over 16 h. Signaling distance is dictated by hydrogel adsorption, quantified using a linear finite element model that yields adsorption coefficients from 0 to 0.1 mol m(−3). Parameters derived herein will aid the design of living materials for pathogen remediation, computation, and self‐organizing biofilms.