1 research outputs found
Predicting Transcriptional Output of Synthetic Multi-input Promoters
Recent
advances in synthetic biology have led to a wealth of well-characterized
genetic parts. As parts libraries grow, so too does the potential
to create novel multi-input promoters that integrate disparate signals
to determine transcriptional output. Our ability to construct such
promoters will outpace our ability to characterize promoter performance,
due to the vast number of input combinations. In this study, we examine
the input–output relations of recently developed synthetic
multi-input promoters and describe two methods for predicting their
behavior. The first method uses 1-dimensional induction data obtained
from experiments on single-input systems to predict the <i>n</i>-dimensional induction responses of systems with <i>n</i> inputs. We demonstrate that this approach accurately predicts Boolean
(on/off) responses of multi-input systems consisting of novel chimeric
transcription factors and hybrid promoters in <i>Escherichia
coli</i>. The second method uses only a small amount of multi-input
response data to accurately predict analog system response over the
entire landscape of input combinations. Taken together, these methods
facilitate the design of synthetic circuits that utilize multi-input
promoters