TY - JOUR
T1 - Development of Design Rules for Reliable Antisense RNA Behavior in E. coli
AU - Hoynes-O’Connor, Allison
AU - Moon, Tae Seok
N1 - Funding Information:
This work was supported by the National Science Foundation [MCB-1331194 to A.H. and T.M., and CBET-1350498 to T.M.] and the Mr. and Mrs. Spencer T. Olin Fellowship for Women in Graduate Study to A.H.
Publisher Copyright:
© 2016 American Chemical Society.
PY - 2016/12/16
Y1 - 2016/12/16
N2 - A key driver of synthetic biology is the development of designable genetic parts with predictable behaviors that can be quickly implemented in complex genetic systems. However, the intrinsic complexity of gene regulation can make the rational design of genetic parts challenging. This challenge is apparent in the design of antisense RNA (asRNA) regulators. Though asRNAs are well-known regulators, the literature governing their design is conflicting and leaves the synthetic biology community without clear asRNA design rules. The goal of this study is to perform a comprehensive experimental characterization and statistical analysis of 121 unique asRNA regulators in order to resolve the conflicts that currently exist in the literature. asRNAs usually consist of two regions, the Hfq binding site and the target binding region (TBR). First, the behaviors of several high-performing Hfq binding sites were compared, in terms of their ability to improve repression efficiencies and their orthogonality. Next, a large-scale analysis of TBR design parameters identified asRNA length, the thermodynamics of asRNA-mRNA complex formation, and the percent of target mismatch as key parameters for TBR design. These parameters were used to develop simple asRNA design rules. Finally, these design rules were applied to construct both a simple and a complex genetic circuit containing different asRNAs, and predictable behavior was observed in both circuits. The results presented in this study will drive synthetic biology forward by providing useful design guidelines for the construction of asRNA regulators with predictable behaviors.
AB - A key driver of synthetic biology is the development of designable genetic parts with predictable behaviors that can be quickly implemented in complex genetic systems. However, the intrinsic complexity of gene regulation can make the rational design of genetic parts challenging. This challenge is apparent in the design of antisense RNA (asRNA) regulators. Though asRNAs are well-known regulators, the literature governing their design is conflicting and leaves the synthetic biology community without clear asRNA design rules. The goal of this study is to perform a comprehensive experimental characterization and statistical analysis of 121 unique asRNA regulators in order to resolve the conflicts that currently exist in the literature. asRNAs usually consist of two regions, the Hfq binding site and the target binding region (TBR). First, the behaviors of several high-performing Hfq binding sites were compared, in terms of their ability to improve repression efficiencies and their orthogonality. Next, a large-scale analysis of TBR design parameters identified asRNA length, the thermodynamics of asRNA-mRNA complex formation, and the percent of target mismatch as key parameters for TBR design. These parameters were used to develop simple asRNA design rules. Finally, these design rules were applied to construct both a simple and a complex genetic circuit containing different asRNAs, and predictable behavior was observed in both circuits. The results presented in this study will drive synthetic biology forward by providing useful design guidelines for the construction of asRNA regulators with predictable behaviors.
KW - antisense RNA
KW - gene repression
KW - genetic circuit
KW - RNA regulator
KW - RNA synthetic biology
UR - https://www.scopus.com/pages/publications/85006511345
U2 - 10.1021/acssynbio.6b00036
DO - 10.1021/acssynbio.6b00036
M3 - Article
C2 - 27434774
AN - SCOPUS:85006511345
SN - 2161-5063
VL - 5
SP - 1441
EP - 1454
JO - ACS synthetic biology
JF - ACS synthetic biology
IS - 12
ER -