Unknown

Dataset Information

0

Bacterial variability in the mammalian gut captured by a single-cell synthetic oscillator.


ABSTRACT: Synthetic gene oscillators have the potential to control timed functions and periodic gene expression in engineered cells. Such oscillators have been refined in bacteria in vitro, however, these systems have lacked the robustness and precision necessary for applications in complex in vivo environments, such as the mammalian gut. Here, we demonstrate the implementation of a synthetic oscillator capable of keeping robust time in the mouse gut over periods of days. The oscillations provide a marker of bacterial growth at a single-cell level enabling quantification of bacterial dynamics in response to inflammation and underlying variations in the gut microbiota. Our work directly detects increased bacterial growth heterogeneity during disease and differences between spatial niches in the gut, demonstrating the deployment of a precise engineered genetic oscillator in real-life settings.

SUBMITTER: Riglar DT 

PROVIDER: S-EPMC6789134 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature

altmetric image

Publications

Bacterial variability in the mammalian gut captured by a single-cell synthetic oscillator.

Riglar David T DT   Richmond David L DL   Potvin-Trottier Laurent L   Verdegaal Andrew A AA   Naydich Alexander D AD   Bakshi Somenath S   Leoncini Emanuele E   Lyon Lorena G LG   Paulsson Johan J   Silver Pamela A PA  

Nature communications 20191011 1


Synthetic gene oscillators have the potential to control timed functions and periodic gene expression in engineered cells. Such oscillators have been refined in bacteria in vitro, however, these systems have lacked the robustness and precision necessary for applications in complex in vivo environments, such as the mammalian gut. Here, we demonstrate the implementation of a synthetic oscillator capable of keeping robust time in the mouse gut over periods of days. The oscillations provide a marker  ...[more]

Similar Datasets

| S-EPMC7966751 | biostudies-literature
| S-EPMC2860125 | biostudies-literature
| S-EPMC4692282 | biostudies-literature
| S-EPMC1943427 | biostudies-literature
| S-EPMC5333193 | biostudies-literature
| S-EPMC5266259 | biostudies-literature
| S-EPMC5012374 | biostudies-literature
| S-EPMC5299410 | biostudies-literature
| S-EPMC8941000 | biostudies-literature
| S-EPMC6791529 | biostudies-literature