Literature DB >> 33552897

A lysate proteome engineering strategy for enhancing cell-free metabolite production.

David C Garcia1,2, Jaime Lorenzo N Dinglasan1,3, Him Shrestha3,4, Paul E Abraham3,4, Robert L Hettich2,3,4, Mitchel J Doktycz1,2,3.   

Abstract

Cell-free systems present a significant opportunity to harness the metabolic potential of diverse organisms. Removing the cellular context provides the ability to produce biological products without the need to maintain cell viability and enables metabolic engineers to explore novel chemical transformation systems. Crude extracts maintain much of a cell's capabilities. However, only limited tools are available for engineering the contents of the extracts used for cell-free systems. Thus, our ability to take full advantage of the potential of crude extracts for cell-free metabolic engineering is constrained. Here, we employ Multiplex Automated Genomic Engineering (MAGE) to tag proteins for selective depletion from crude extracts so as to specifically direct chemical production. Specific edits to central metabolism are possible without significantly impacting cell growth. Selective removal of pyruvate degrading enzymes resulted in engineered crude lysates that are capable of up to 40-fold increases in pyruvate production when compared to the non-engineered extract. The described approach melds the tools of systems and synthetic biology to showcase the effectiveness of cell-free metabolic engineering for applications like bioprototyping and bioproduction.
© 2021 The Authors.

Entities:  

Keywords:  Cell lysates; Cell-free metabolic engineering; Genome engineering; In vitro biology; Proteomics

Year:  2021        PMID: 33552897      PMCID: PMC7851839          DOI: 10.1016/j.mec.2021.e00162

Source DB:  PubMed          Journal:  Metab Eng Commun        ISSN: 2214-0301


  57 in total

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Authors:  Andrea C Timm; Peter G Shankles; Carmen M Foster; Mitchel J Doktycz; Scott T Retterer
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Journal:  MAbs       Date:  2012-03-01       Impact factor: 5.857

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Authors:  David C Garcia; Xiaolin Cheng; Miriam L Land; Robert F Standaert; Jennifer L Morrell-Falvey; Mitchel J Doktycz
Journal:  ACS Chem Biol       Date:  2019-11-18       Impact factor: 5.100

6.  Programming cells by multiplex genome engineering and accelerated evolution.

Authors:  Harris H Wang; Farren J Isaacs; Peter A Carr; Zachary Z Sun; George Xu; Craig R Forest; George M Church
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Authors:  Triana N Dalia; Chelsea A Hayes; Sergey Stolyar; Christopher J Marx; James B McKinlay; Ankur B Dalia
Journal:  ACS Synth Biol       Date:  2017-06-06       Impact factor: 5.110

8.  Comparative proteomics: assessment of biological variability and dataset comparability.

Authors:  Sa Rang Kim; Tuong Vi Nguyen; Na Ri Seo; Seunghup Jung; Hyun Joo An; David A Mills; Jae Han Kim
Journal:  BMC Bioinformatics       Date:  2015-04-17       Impact factor: 3.169

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Authors:  Sabine Oesterle; Tania Michelle Roberts; Lukas Andreas Widmer; Harun Mustafa; Sven Panke; Sonja Billerbeck
Journal:  BMC Biol       Date:  2017-10-30       Impact factor: 7.431

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  2 in total

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  2 in total

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