TY - JOUR
T1 - Multiplexing Engineered Receptors for Multiparametric Evaluation of Environmental Ligands
AU - Hartfield, Rachel M.
AU - Schwarz, Kelly A.
AU - Muldoon, Joseph J.
AU - Bagheri, Neda
AU - Leonard, Joshua N.
N1 - Funding Information:
K.A.S. was supported in part by National Institutes of Health T32 Training Grant GM 008449 through Northwestern University’s Biotechnology Training Program. R.M.H. was supported in part by the Malkin Scholars Program from the Robert H. Lurie Comprehensive Cancer Center of Northwestern University. J.J.M. was supported in part by the Northwestern University Graduate School Cluster in Biotechnology, Systems, and Synthetic Biology, which is affiliated with the Biotechnology Training Program, and by an award from the Cornew Innovation Fund, administered by the Chemistry of Life Processes Institute (to N.B. and J.N.L). This work was supported by the Northwestern University Flow Cytometry Facility and a Cancer Center Support Grant (NCI CA060553). This project was supported by the Defense Advanced Research Projects Agency, Award number W911NF-11-2-0066 (to J.N.L.). No funding sources had any involvement in the writing of this manuscript. We thank Taylor Dolberg, Patrick Donahue, Amy Hong, Cameron McDonald, Alexis Prybutok, and Albert Xue for helpful discussions.
Publisher Copyright:
© 2017 American Chemical Society.
PY - 2017/11/17
Y1 - 2017/11/17
N2 - 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.
AB - 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.
KW - biosensor
KW - computational model
KW - genetic circuit
KW - intercellular variation
KW - mammalian
KW - receptor engineering
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U2 - 10.1021/acssynbio.6b00279
DO - 10.1021/acssynbio.6b00279
M3 - Article
C2 - 28771312
AN - SCOPUS:85034600763
SN - 2161-5063
VL - 6
SP - 2042
EP - 2055
JO - ACS synthetic biology
JF - ACS synthetic biology
IS - 11
ER -