Open AccessBiological signal processing filters via engineering allosteric transcription factors
Author(s) -
Thomas M Groseclose,
Ashley N Hersey,
Brian D Huang,
Jongwoo Park,
Clive Wilson
Publication year - 2021
Publication title -
proceedings of the national academy of sciences of the united states of america
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.011
H-Index - 771
eISSN - 1091-6490
pISSN - 0027-8424
DOI - 10.1073/pnas.2111450118
Subject(s) - allosteric regulation , promoter , gene regulatory network , regulation of gene expression , signal processing , transcription factor , biology , gene expression , computational biology , gene , computer science , genetics , digital signal processing , receptor , computer hardware
Significance As the size and complexity of genetic circuits increases, scientists and engineers need to find solutions to rapidly optimize flux and reduce the metabolic burden imposed on chassis cells. In this study, we report synthetic biology tools that imbue chassis cells with advanced signal processing functions akin to electrical devices commonly used in wireless transmitters and receivers (i.e., biological BANDPASS and BANDSTOP devices) that can simultaneously reduce metabolic burden. Moreover, this study presents a set of granular and more complete design rules for engineering allosteric transcription factors in the broader LacI/GalR topology. In addition, this study has improved our fundamental understanding of the plasticity and continuum of allosteric communication from the binding pocket to the protein–DNA interaction.