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dc.rights.licenseCC BY — Creative Commons Attribution
dc.contributor.authorJones, J. Andrew
dc.contributor.authorVernacchio, Victoria R.
dc.contributor.authorLachance, Daniel M.
dc.contributor.authorLebovich, Matthew
dc.contributor.authorFu, Li
dc.contributor.authorShirke, Abhijit N.
dc.contributor.authorSchultz, Victor L.
dc.contributor.authorCress, Brady
dc.contributor.authorLinhardt, Robert J.
dc.contributor.authorKoffas, Mattheos A.G.
dc.identifier.citationePathOptimize: A Combinatorial Approach for Transcriptional Balancing of Metabolic Pathways, J. A. Jones, V. Vernacchio, D.Lachance, M. Lebovich, L. Fu, A. Shirke, V. Schultz, B. Cress, R. J. Linhardt, M. Koffas, Scientific Reports, 5, 11301, 2015.
dc.descriptionScientific Reports, 5, 11301
dc.descriptionNote : if this item contains full text it may be a preprint, author manuscript, or a Gold OA copy that permits redistribution with a license such as CC BY. The final version is available through the publisher’s platform.
dc.description.abstractThe ability to fine tune gene expression has created the field of metabolic pathway optimization and balancing where a variety of factors affecting flux balance are carefully modulated to improve product titers, yields, and productivity. Using a library of isopropyl β-D-1-thiogalactopyranoside (IPTG)-inducible mutant T7 promoters of varied strength a combinatorial method was developed for transcriptional balancing of the violacein pathway. Violacein biosynthesis involves a complex five-gene pathway that is an excellent model for exploratory metabolic engineering efforts into pathway regulation and control due to many colorful intermediates and side products allowing for easy analysis and strain comparison. Upon screening approximately 4% of the total initial library, several high-titer mutants were discovered that resulted in up to a 63-fold improvement over the control strain. With further fermentation optimization, titers were improved to 1829 ± 46 mg/L; a 2.6-fold improvement in titer and a 30-fold improvement in productivity from previous literature reports.
dc.relation.ispartofThe Linhardt Research Labs Online Collection
dc.relation.ispartofRensselaer Polytechnic Institute, Troy, NY
dc.relation.ispartofScientific Reports
dc.rightsAttribution 3.0 United States*
dc.subjectChemistry and chemical biology
dc.subjectChemical and biological engineering
dc.subjectBiomedical engineering
dc.titleePathOptimize: A Combinatorial Approach for Transcriptional Balancing of Metabolic Pathwaysen_US
dcterms.accessRightsA full text version is available in DSpace@RPI
dcterms.accessRightsOpen Access
dc.rights.holderCC BY : this license allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. Credit must be given to the authors and the original work must be properly cited.
dc.relation.departmentThe Linhardt Research Labs.
dc.relation.departmentThe Shirley Ann Jackson, Ph.D. Center for Biotechnology and Interdisciplinary Studies (CBIS)

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CC BY — Creative Commons Attribution
Except where otherwise noted, this item's license is described as CC BY — Creative Commons Attribution