4.8 Article

Achieving large dynamic range control of gene expression with a compact RNA transcription-translation regulator

Journal

NUCLEIC ACIDS RESEARCH
Volume 45, Issue 9, Pages 5614-5624

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/nar/gkx215

Keywords

-

Funding

  1. Office of Naval Research Young Investigators Program Award (ONRYIP) [N00014-13-1-0531]
  2. NSF CAREER Award [1452441]
  3. Searle Funds at The Chicago Community Trust
  4. Direct For Biological Sciences
  5. Div Of Molecular and Cellular Bioscience [1650040] Funding Source: National Science Foundation
  6. Div Of Molecular and Cellular Bioscience
  7. Direct For Biological Sciences [1452441] Funding Source: National Science Foundation

Ask authors/readers for more resources

RNA transcriptional regulators are emerging as versatile components for genetic network construction. However, these regulators suffer from incomplete repression in their OFF state, making their dynamic range less than that of their protein counterparts. This incomplete repression causes expression leak, which impedes the construction of larger synthetic regulatory networks as leak propagation can interfere with desired network function. To address this, we demonstrate how naturally derived antisense RNA-mediated transcriptional regulators can be configured to regulate both transcription and translation in a single compact RNA mechanism that functions in Escherichia coli. Using in vivo gene expression assays, we show that a combination of transcriptional termination and ribosome binding site sequestration increases repression from 85% to 98%, or activation from 10-fold to over 900-fold, in response to cognate antisense RNAs. We also show that orthogonal repressive versions of this mechanism can be created through engineering minimal antisense RNAs. Finally, to demonstrate the utility of this mechanism, we use it to reduce network leak in an RNA-only cascade. We anticipate these regulators will find broad use as synthetic biology moves beyond parts engineering to the design and construction of more sophisticated regulatory networks.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available