Welcome to the new version of CaltechAUTHORS. Login is currently restricted to library staff. If you notice any issues, please email coda@library.caltech.edu
Published April 11, 2014 | Supplemental Material + Published
Journal Article Open

Synthetic circuit for exact adaptation and fold-change detection

Abstract

Biological organisms use their sensory systems to detect changes in their environment. The ability of sensory systems to adapt to static inputs allows wide dynamic range as well as sensitivity to input changes including fold-change detection, a response that depends only on fold changes in input, and not on absolute changes. This input scale invariance underlies an important strategy for search that depends solely on the spatial profile of the input. Synthetic efforts to reproduce the architecture and response of cellular circuits provide an important step to foster understanding at themolecular level. We report the bottom-up assembly of biochemical systems that show exact adaptation and fold-change detection. Using a malachite green aptamer as the output, a synthetic transcriptional circuit with the connectivity of an incoherent feed-forward loop motif exhibits pulse generation and exact adaptation. A simple mathematical model was used to assess the amplitude and duration of pulse response as well as the parameter regimes required for fold-change detection. Upon parameter tuning, this synthetic circuit exhibits fold-change detection for four successive rounds of two-fold input changes. The experimental realization of fold-change detection circuit highlights the programmability of transcriptional switches and the ability to obtain predictive dynamical systems in a cell-free environment for technological applications.

Additional Information

© 2014 The Author(s). Published by Oxford University Press on behalf of Nucleic Acids Research. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. First published online: April 11, 2014. The authors thank Elisa Franco and Enoch Yeung for comments on the manuscript. Funding: National Science Foundation [0832824, The Molecular Programming Project]. Source of open access funding: National Science Foundation award no. 0832824 (The Molecular Programming Project). Conflict of interest statement. None declared.

Attached Files

Published - Nucl._Acids_Res.-2014-Kim-6078-89.pdf

Supplemental Material - nar-02987-n-2013-File001.pdf

Files

Nucl._Acids_Res.-2014-Kim-6078-89.pdf
Files (4.9 MB)
Name Size Download all
md5:feef4bb25022be01d9be22af9c98af3c
576.8 kB Preview Download
md5:2e04c188fb15077eb43763c8432d4d87
4.3 MB Preview Download

Additional details

Created:
August 20, 2023
Modified:
October 26, 2023