A Caltech Library Service

System-level studies of a cell-free transcription-translation platform for metabolic engineering

Wu, Yong Y. and Sato, Hirokazu and Huang, Hongjun and Culler, Stephanie J. and Khandurina, Julia and Nagarajan, Harish and Yang, Tae Hoon and Van Dien, Stephen and Murray, Richard M. (2017) System-level studies of a cell-free transcription-translation platform for metabolic engineering. . (Submitted)

[img] PDF - Submitted Version
See Usage Policy.

[img] PDF - Supplemental Material
See Usage Policy.


Use this Persistent URL to link to this item:


Current methods for assembling biosynthetic pathways in microorganisms require a process of repeated trial and error and have long design-build-test cycles. We describe the use of a cell-free transcription-translation (TX-TL) system as a biomolecular breadboard for the rapid engineering of the 1,4-butanediol (BDO) pathway. We demonstrate the reliability of TX-TL as a platform for engineering biological systems by undertaking a careful characterization of its transcription and translation capabilities and provide a detailed analysis of its metabolic output. Using TX-TL to survey the design space of the BDO pathway enables rapid tuning of pathway enzyme expression levels for improved product yield. Leveraging TX-TL to screen enzyme variants for improved catalytic activity accelerates design iterations that can be directly applied to in vivo strain development.

Item Type:Report or Paper (Discussion Paper)
Related URLs:
URLURL TypeDescription Paper
Murray, Richard M.0000-0002-5785-7481
Additional Information:The copyright holder for this preprint is the author/funder. All rights reserved. No reuse allowed without permission. bioRxiv preprint first posted online Aug. 3, 2017. We thank Dr. Nathan Dalleska and the Environmental Analysis Center for the support and assistance using GC/MS for initial data collection. We thank Anna Lechner, Evan Ehrich, Emily Mitchell, Glenn Majer, and Sari Rizek for material analysis and preparation. We thank Jingyi Li, Jungik Choi, Jonathan Joaquin, Joseph R. Warner, Robin Osterhout, and Robert Haselbeck for helpful discussion. This material is based upon work supported in part by the Defense Advanced Research Projects Agency (DARPA/MTO) Living Foundries program; contract number HR0011-12-C-0065 (DARPA/CMO). Y.Y.W was supported by NIH/NRSA Training Grant 5T32 GM07616 and the Gordon and Betty Moore Foundation Grant GBMF2809 to the Caltech Programmable Molecular Technology Initiative.
Funding AgencyGrant Number
Defense Advanced Research Projects Agency (DARPA)HR0011-12-C-0065
NIH Predoctoral Fellowship5T32 GM07616
Gordon and Betty Moore FoundationGBMF2809
Record Number:CaltechAUTHORS:20180430-092750634
Persistent URL:
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:86111
Deposited By: Tony Diaz
Deposited On:30 Apr 2018 16:34
Last Modified:15 Nov 2021 20:35

Repository Staff Only: item control page