scholarly journals Muconic Acid Production Using Gene-Level Fusion Proteins in Escherichia coli

2018 ◽  
Vol 7 (11) ◽  
pp. 2698-2705 ◽  
Author(s):  
Ryosuke Fujiwara ◽  
Shuhei Noda ◽  
Tsutomu Tanaka ◽  
Akihiko Kondo
Keyword(s):  
Escherichia Coli ◽  
Fusion Proteins ◽  
Acid Production ◽  
Muconic Acid ◽  
Gene Level ◽  
Level Fusion

Suitable Signal Peptides for Secretory Production of Recombinant Granulocyte Colony Stimulating Factor in Escherichia coli

2020 ◽  
Vol 14 (4) ◽  
pp. 269-282
Author(s):  
Sadra S. Tehrani ◽  
Golnaz Goodarzi ◽  
Mohsen Naghizadeh ◽  
Seyyed H. Khatami ◽  
Ahmad Movahedpour ◽  
...  
Keyword(s):  
Escherichia Coli ◽  
Signal Peptide ◽  
Fusion Proteins ◽  
Inclusion Bodies ◽  
Clinical Aspects ◽  
Granulocyte Colony Stimulating Factor ◽  
Colony Stimulating Factor ◽  
E Coli ◽  
Secretory Production ◽  
Stimulating Factor

Background: Granulocyte colony-stimulating factor (G-CSF) expressed in engineered Escherichia coli (E. coli) as a recombinant protein is utilized as an adjunct to chemotherapy for improving neutropenia. Recombinant proteins overexpression may lead to the creation of inclusion bodies whose recovery is a tedious and costly process. To overcome the problem of inclusion bodies, secretory production might be used. To achieve a mature secretory protein product, suitable signal peptide (SP) selection is a vital step. Objective: In the present study, we aimed at in silico evaluation of proper SPs for secretory production of recombinant G-CSF in E. coli. Methods: Signal peptide website and UniProt were used to collect the SPs and G-CSF sequences. Then, SignalP were utilized in order to predict the SPs and location of their cleavage site. Physicochemical features and solubility were investigated by ProtParam and Protein-sol tools. Fusion proteins sub-cellular localization was predicted by ProtCompB. Results: LPP, ELBP, TSH, HST3, ELBH, AIDA and PET were excluded according to SignalP. The highest aliphatic index belonged to OMPC, TORT and THIB and PPA. Also, the highest GRAVY belonged to OMPC, ELAP, TORT, BLAT, THIB, and PSPE. Furthermore, G-CSF fused with all SPs were predicted as soluble fusion proteins except three SPs. Finally, we found OMPT, OMPF, PHOE, LAMB, SAT, and OMPP can translocate G-CSF into extracellular space. Conclusion: Six SPs were suitable for translocating G-CSF into the extracellular media. Although growing data indicate that the bioinformatics approaches can improve the precision and accuracy of studies, further experimental investigations and recent patents explaining several inventions associated to the clinical aspects of SPs for secretory production of recombinant GCSF in E. coli are required for final validation.

Biologically active Rep proteins of adeno-associated virus type 2 produced as fusion proteins in Escherichia coli.

1994 ◽  
Vol 68 (2) ◽  
pp. 797-804 ◽  
Author(s):  
J A Chiorini ◽  
M D Weitzman ◽  
R A Owens ◽  
E Urcelay ◽  
B Safer ◽  
...  
Keyword(s):  
Escherichia Coli ◽  
Virus Type ◽  
Fusion Proteins ◽  
Biologically Active ◽  
Adeno Associated Virus ◽  
Rep Proteins

scholarly journals Metabolic Engineering of Escherichia coli for Enhanced Production of Succinic Acid, Based on Genome Comparison and In Silico Gene Knockout Simulation

2005 ◽  
Vol 71 (12) ◽  
pp. 7880-7887 ◽  
Author(s):  
Sang Jun Lee ◽  
Dong-Yup Lee ◽  
Tae Yong Kim ◽  
Byung Hun Kim ◽  
Jinwon Lee ◽  
...  
Keyword(s):  
Escherichia Coli ◽  
Succinic Acid ◽  
In Silico ◽  
Acid Production ◽  
Gene Knockout ◽  
Fermentation Products ◽  
E Coli ◽  
Metabolic Analysis ◽  
Enhanced Production ◽  
Succinic Acid Production

ABSTRACT Comparative analysis of the genomes of mixed-acid-fermenting Escherichia coli and succinic acid-overproducing Mannheimia succiniciproducens was carried out to identify candidate genes to be manipulated for overproducing succinic acid in E. coli. This resulted in the identification of five genes or operons, including ptsG, pykF, sdhA, mqo, and aceBA, which may drive metabolic fluxes away from succinic acid formation in the central metabolic pathway of E. coli. However, combinatorial disruption of these rationally selected genes did not allow enhanced succinic acid production in E. coli. Therefore, in silico metabolic analysis based on linear programming was carried out to evaluate the correlation between the maximum biomass and succinic acid production for various combinatorial knockout strains. This in silico analysis predicted that disrupting the genes for three pyruvate forming enzymes, ptsG, pykF, and pykA, allows enhanced succinic acid production. Indeed, this triple mutation increased the succinic acid production by more than sevenfold and the ratio of succinic acid to fermentation products by ninefold. It could be concluded that reducing the metabolic flux to pyruvate is crucial to achieve efficient succinic acid production in E. coli. These results suggest that the comparative genome analysis combined with in silico metabolic analysis can be an efficient way of developing strategies for strain improvement.

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