Unknown

Dataset Information

0

Tuning the dynamic range of bacterial promoters regulated by ligand-inducible transcription factors.


ABSTRACT: One challenge for synthetic biologists is the predictable tuning of genetic circuit regulatory components to elicit desired outputs. Gene expression driven by ligand-inducible transcription factor systems must exhibit the correct ON and OFF characteristics: appropriate activation and leakiness in the presence and absence of inducer, respectively. However, the dynamic range of a promoter (i.e., absolute difference between ON and OFF states) is difficult to control. We report a method that tunes the dynamic range of ligand-inducible promoters to achieve desired ON and OFF characteristics. We build combinatorial sets of AraC-and LasR-regulated promoters containing -10 and -35 sites from synthetic and Escherichia coli promoters. Four sequence combinations with diverse dynamic ranges were chosen to build multi-input transcriptional logic gates regulated by two and three ligand-inducible transcription factors (LacI, TetR, AraC, XylS, RhlR, LasR, and LuxR). This work enables predictable control over the dynamic range of regulatory components.

SUBMITTER: Chen Y 

PROVIDER: S-EPMC5754348 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature

altmetric image

Publications

Tuning the dynamic range of bacterial promoters regulated by ligand-inducible transcription factors.

Chen Ye Y   Ho Joanne M L JML   Shis David L DL   Gupta Chinmaya C   Long James J   Wagner Daniel S DS   Ott William W   Josić Krešimir K   Bennett Matthew R MR  

Nature communications 20180104 1


One challenge for synthetic biologists is the predictable tuning of genetic circuit regulatory components to elicit desired outputs. Gene expression driven by ligand-inducible transcription factor systems must exhibit the correct ON and OFF characteristics: appropriate activation and leakiness in the presence and absence of inducer, respectively. However, the dynamic range of a promoter (i.e., absolute difference between ON and OFF states) is difficult to control. We report a method that tunes t  ...[more]

Similar Datasets

| S-EPMC3724501 | biostudies-literature
| S-EPMC9600179 | biostudies-literature
| S-EPMC4097969 | biostudies-literature
| S-EPMC4141552 | biostudies-literature
| S-EPMC7221782 | biostudies-literature
| S-EPMC10518110 | biostudies-literature
| S-EPMC1794431 | biostudies-literature
| S-EPMC4666488 | biostudies-literature
2022-09-28 | GSE175852 | GEO
| S-EPMC5864024 | biostudies-literature