High-Throughput Optimization Cycle of a Cell-Free Ribosome Assembly and Protein Synthesis System

被引:25
|
作者
Caschera, Filippo [1 ,2 ,3 ]
Karim, Ashty S. [1 ,2 ,3 ]
Gazzola, Gianluca [5 ]
d'Aquino, Anne E. [2 ,3 ,4 ]
Packard, Norman H. [6 ]
Jewett, Michael C. [1 ,2 ,3 ,4 ,5 ,7 ,8 ]
机构
[1] Northwestern Univ, Dept Chem & Biol Engn, Evanston, IL 60208 USA
[2] Northwestern Univ, Chem Life Proc Inst, Evanston, IL 60208 USA
[3] Northwestern Univ, Ctr Synthet Biol, Evanston, IL 60208 USA
[4] Northwestern Univ, Interdisciplinary Biol Sci Program, Evanston, IL 60208 USA
[5] Rutgers Business Sch, Rutgers Ctr Operat Res, 100 Rockafeller Rd, Piscataway, NJ 08854 USA
[6] ProtoLife Inc, 57 Post St Suite 908, San Francisco, CA 94104 USA
[7] Northwestern Univ, Robert H Lurie Comprehens Canc Ctr, Chicago, IL 60611 USA
[8] Northwestern Univ, Simpson Querrey Inst, Chicago, IL 60611 USA
来源
ACS SYNTHETIC BIOLOGY | 2018年 / 7卷 / 12期
基金
美国国家科学基金会;
关键词
synthetic biology; systems biology; metabolism; ribosomes; in vitro; iSAT; evolutionary design of experiments; machine learning; EFFICIENT; EXPRESSION; RNA; TRANSCRIPTION; ATP; RECONSTITUTION; INTEGRATION; DISCOVERY; EVOLUTION; PLATFORM;
D O I
10.1021/acssynbio.8b00276
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Building variant ribosomes offers opportunities to reveal fundamental principles underlying ribosome biogenesis and to make ribosomes with altered properties. However, cell viability limits mutations that can be made to the ribosome. To address this limitation, the in vitro integrated synthesis, assembly and translation (iSAT) method for ribosome construction from the bottom up was recently developed. Unfortunately, iSAT is complex, costly, and laborious to researchers, partially due to the high cost of reaction buffer containing over 20 components. In this study, we develop iSAT in Escherichia coli BL21Rosetta2 cell lysates, a commonly used bacterial strain, with a cost-effective poly sugar and nucleotide monophosphate-based metabolic scheme. We achieved a 10-fold increase in protein yield over our base case with an evolutionary design of experiments approach, screening 490 reaction conditions to optimize the reaction buffer. The computationally guided, cell-free, high-throughput technology presented here augments the way we approach multicomponent synthetic biology projects and efforts to repurpose ribosomes.
引用
收藏
页码:2481 / 2853
页数:25
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