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Multiplexing Engineered Receptors for Multiparametric Evaluation of Environmental Ligands.
Hartfield, Rachel M; Schwarz, Kelly A; Muldoon, Joseph J; Bagheri, Neda; Leonard, Joshua N.
Affiliation
  • Hartfield RM; Department of Chemical and Biological Engineering, Northwestern University , Evanston, Illinois 60208, United States.
  • Schwarz KA; Department of Chemical and Biological Engineering, Northwestern University , Evanston, Illinois 60208, United States.
  • Muldoon JJ; Department of Chemical and Biological Engineering, Northwestern University , Evanston, Illinois 60208, United States.
  • Bagheri N; Interdisciplinary Biological Sciences Program, Northwestern University , Evanston, Illinois 60208, United States.
  • Leonard JN; Department of Chemical and Biological Engineering, Northwestern University , Evanston, Illinois 60208, United States.
ACS Synth Biol ; 6(11): 2042-2055, 2017 11 17.
Article in En | MEDLINE | ID: mdl-28771312
ABSTRACT
Engineered cell-based therapies comprise a promising, emerging biomedical technology. Broad utilization of this strategy will require new approaches for implementing sophisticated functional programs, such as sensing and responding to the environment in a defined fashion. Toward this goal, we investigated whether our self-contained receptor and signal transduction system (MESA) could be multiplexed to evaluate extracellular cues, with a focus on elucidating principles governing the integration of such engineered components. We first developed a set of hybrid promoters that exhibited AND gate activation by two transcription factors. We then evaluated these promoters when paired with two MESA receptors and various ligand combinations. Unexpectedly, although the multiplexed system exhibited distinct responses to ligands applied individually and in combination, the same synergy was not observed as when promoters were characterized with soluble transcription factors. Therefore, we developed a mechanistic computational model leveraging these observations, to both improve our understanding of how the receptors and promoters interface and to guide the design and implementation of future systems. Notably, the model explicitly accounts for the impact of intercellular variation on system characterization and performance. Model analysis identified key factors that affect the current receptors and promoters, and enabled an in silico exploration of potential modifications that inform the design of improved logic gates and their robustness to intercellular variation. Ultimately, this quantitative design-driven approach may guide the use and multiplexing of synthetic receptors for diverse custom biological functions beyond the case study considered here.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Signal Transduction / Genetic Engineering / Environmental Monitoring / Receptors, Cell Surface / Models, Biological Type of study: Prognostic_studies Limits: Humans Language: En Journal: ACS Synth Biol Year: 2017 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Signal Transduction / Genetic Engineering / Environmental Monitoring / Receptors, Cell Surface / Models, Biological Type of study: Prognostic_studies Limits: Humans Language: En Journal: ACS Synth Biol Year: 2017 Document type: Article Affiliation country: