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Dynamics design of a non-natural transcription factor responding to androst-4-ene-3,17-dione

Authors :
Ming Zhao
Mengkai Hu
Rumeng Han
Chao Ye
Xiangfei Li
Tianwen Wang
Yan Liu
Zhenglian Xue
Kun Liu
Source :
Synthetic and Systems Biotechnology, Vol 9, Iss 3, Pp 436-444 (2024)
Publication Year :
2024
Publisher :
KeAi Communications Co., Ltd., 2024.

Abstract

The production of androst-4-ene-3,17-dione (AD) by the steroidal microbial cell factory requires transcription factors (TFs) to participate in metabolic regulation. However, microbial cell factory lacks effective TFs that can respond to AD in its metabolic pathway. Additionally, finding and obtaining natural TFs that specifically respond to AD is a complex and onerous task. In this study, we devised an artificial TF that responds to AD, termed AdT, based on structure-guided molecular dynamics (MD) simulation. According to MD analysis of the conformational changes of AdT after binding to AD, an LBD in which the N- and C-termini exhibited convergence tendencies was used as a microswitch to guide the assembly of a DNA-binding domain lexA, a linker (GGGGS)2, and a transcription activation domain B42 into an artificial TF. As a proof of design, a AD biosensor was designed and constructed in yeast on the basis of the ligand-binding domain (LBD) of hormone receptor. In addition, the transcription factor activity of AdT was increased by 1.44-fold for its variant F320Y. Overall, we created non-natural TF elements for AD microbial cell factory, and expected that the design TF strategy will be applied to running in parallel to the signaling machinery of the host cell.

Details

Language :
English
ISSN :
2405805X
Volume :
9
Issue :
3
Database :
Directory of Open Access Journals
Journal :
Synthetic and Systems Biotechnology
Publication Type :
Academic Journal
Accession number :
edsdoj.134cc43902da4e898f1bea8135ffedef
Document Type :
article
Full Text :
https://doi.org/10.1016/j.synbio.2024.04.001