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Design of a redox-proficient Escherichia coli for screening terpenoids and modifying cytochrome P450s

Authors: Lin, Geng-Min; Voigt, Christopher;

Design of a redox-proficient Escherichia coli for screening terpenoids and modifying cytochrome P450s

Abstract

20 Terpenoid scaffold.zip: Raw GCMS data for titer comparisons. Required to reproduce Figure 2b. 20 Terpenoid scaffold_representative GCMS.zip: Representative GCMS data for 20 terpenoid scaffolds produced by E. coli MEV15 and 20. Required to reproduce Supplementary Figure 3. Characterization of LRD04 derivatives.zip: Raw NMR and GCMS data for 19 ent-kaurenoid derivatives described in this manuscript. Required to reproduce Supplementary Figures 13-33. LRD production optimization.zip: Raw GCMS data for pLRD construct screening with different IPTG concentration. Required to reproduce Supplementary Tables 9-36. LRD scaffolds.zip: Raw GCMS data for LRD production after optimization. Required to reproduce Figure 5 and Supplementary Tables 9-36. Pathway screening.zip: Raw GCMS data for screening biosynthetic pathways of LRD scaffold paired with 64 CYPs. Each GCMS dataset is consisted of 1 pathway producing only LRD scaffold, 64 pathways producing LRD scaffold and different CYPs, and 2 alkane-series standards acquired before and after analyzing the 65 pathways. Required to reproduce Figure 6 and Supplementary Tables 9-36. Redox array characterization 1.zip: Raw GCMS data for comparison of modified terpenoid production in the presence of different redox enzymes. Required to reproduce Figure 3a. Redox array characterization 1_scaffold.zip: Raw GCMS data for comparison of terpenoid scaffold production in the presence of different redox enzymes. Required to reproduce Supplementary Figure 4. Redox array characterization 2.zip: Raw GCMS data for comparison of modified terpenoid production with or without an additional copy of fldA/fpr. Required to reproduce Figure 3b and Supplementary Figure 5. Terpenoid inducer optimization.zip: Raw LCMS and GCMS data for optimizing 01a and 03a production in E. coli MEV20. Required to reproduce Figure 4 and Supplementary Figures 6 and 7. terpenoids_code.zip: Jupyter Notebook used for analyzing GNN results and metabolomic analysis (also available at https://github.com/gengminlin/GNN-and-Metabolomics-Analysis-for-LRD)

Related Organizations
Keywords

genome mining, synthetic biology, electron transport, metabolic engineering, labdanes, high-throughput screening, terpenoid

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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