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- Publications
- Influence
Tuning genetic control through promoter engineering.
- H. Alper, Curt R Fischer, E. Nevoigt, G. Stephanopoulos
- Biology, Medicine
- Proceedings of the National Academy of Sciences…
- 6 September 2005
Gene function is typically evaluated by sampling the continuum of gene expression at only a few discrete points corresponding to gene knockout or overexpression. We argue that this characterization… Expand
Engineering Yeast Transcription Machinery for Improved Ethanol Tolerance and Production
- H. Alper, J. Moxley, E. Nevoigt, G. Fink, G. Stephanopoulos
- Biology, Medicine
- Science
- 8 December 2006
Global transcription machinery engineering (gTME) is an approach for reprogramming gene transcription to elicit cellular phenotypes important for technological applications. Here we show the… Expand
Harnessing Yarrowia lipolytica lipogenesis to create a platform for lipid and biofuel production.
- John Blazeck, A. Hill, +5 authors H. Alper
- Biology, Medicine
- Nature communications
- 20 January 2014
Economic feasibility of biosynthetic fuel and chemical production hinges upon harnessing metabolism to achieve high titre and yield. Here we report a thorough genotypic and phenotypic optimization of… Expand
Metabolic engineering of muconic acid production in Saccharomyces cerevisiae.
- Kathleen A. Curran, John M Leavitt, Ashty S. Karim, H. Alper
- Biology, Medicine
- Metabolic engineering
- 2013
The dicarboxylic acid muconic acid has garnered significant interest due to its potential use as a platform chemical for the production of several valuable consumer bio-plastics including nylon-6,6… Expand
Global transcription machinery engineering: a new approach for improving cellular phenotype.
- H. Alper, G. Stephanopoulos
- Biology, Medicine
- Metabolic engineering
- 1 May 2007
It is now generally accepted that most cellular phenotypes are affected by many genes. As a result, engineering a desired phenotype would be facilitated enormously by simultaneous multiple gene… Expand
Construction of lycopene-overproducing E. coli strains by combining systematic and combinatorial gene knockout targets
- H. Alper, K. Miyaoku, G. Stephanopoulos
- Biology, Medicine
- Nature Biotechnology
- 10 April 2005
Identification of genes that affect the product accumulation phenotype of recombinant strains is an important problem in industrial strain construction and a central tenet of metabolic engineering.… Expand
Identifying gene targets for the metabolic engineering of lycopene biosynthesis in Escherichia coli.
- H. Alper, Yong-Su Jin, J. Moxley, G. Stephanopoulos
- Biology, Medicine
- Metabolic engineering
- 1 May 2005
The identification of genetic targets that are effective in bringing about a desired phenotype change is still an open problem. While random gene knockouts have yielded improved strains in certain… Expand
Rewiring yeast sugar transporter preference through modifying a conserved protein motif
- E. Young, Alice Tong, H. Bui, Caitlin Spofford, H. Alper
- Biology, Medicine
- Proceedings of the National Academy of Sciences
- 16 December 2013
Significance The quest for an optimal xylose pathway in yeast is of utmost importance along the way to realizing the potential of lignocellulosic biomass conversion into fuels and chemicals. An… Expand
Promoter engineering: Recent advances in controlling transcription at the most fundamental level
- John Blazeck, H. Alper
- Biology, Medicine
- Biotechnology journal
- 1 January 2013
Synthetic control of gene expression is critical for metabolic engineering efforts. Specifically, precise control of key pathway enzymes (heterologous or native) can help maximize product formation.… Expand
Tuning Gene Expression in Yarrowia lipolytica by a Hybrid Promoter Approach†
- John Blazeck, Leqian Liu, H. Redden, H. Alper
- Biology, Medicine
- Applied and Environmental Microbiology
- 16 September 2011
ABSTRACT The development of strong and tunable promoter elements is necessary to enable metabolic and pathway engineering applications for any host organism. Here, we have expanded and generalized a… Expand
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