Optimizing Oil Production in Oleaginous Yeast by Cell-Wide Measurements and Genome-Based Models (Final Report) Article Swipe
Gregory Stephanopoulos
,
James C. Liao
,
Jens Nielsen
,
Scott Baker
,
Andreas E. Vasdekis
,
Adrian Fay
,
Kangjian Qiao
,
Andrew M. Silverman
,
Nian Liu
,
Peng Xu
,
Thomas M. Wasylenko
,
Hongjuan Liu
,
Sagar Chakraborty
,
Jimmy Lafontaine Rivera
,
Yun Bin Lee
,
Po-Wei Chen
,
Matthew K. Theisen
,
Eduard J. Kerkhoven
,
Michael Gossing
,
Kyle Pomraning
,
Erin Bredeweg
,
Ziyu Dai
,
Sue A. Karagiosis
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.2172/1821178
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.2172/1821178
The work funded under this DOE genomics grant focused on characterizing, modifying and developing genetic engineering tools for the then very promising but under-characterized oleaginous yeast Yarrowia lipolytica. To-date, all biodiesel production facilities rely on vegetable oils and animal fats as feedstocks, which are very limited. Nature, on the other hand, is very well equipped for making carbohydrates, which are very plentiful throughout the world and rather well distributed in various forms. While numerous (biochemical and thermochemical) technologies exist presently for carbohydrate conversion to alcohols, there is none available for the cost-efficient production of lipids from carbohydrate feedstocks. Such a technology would have wide-ranging implications in land use, renewable resource utilization and production of transportation fuels with minimal carbon footprint. The global research objectives of this award were to develop tools for cell-wide measurement of metabolites and lipids that, along with transcriptional data, will allow the construction of genome-scale metabolic models, as well as models of transcriptional regulation, that will guide the further metabolic engineering of Yarrowia lipolytica. To achieve these goals, a very strong international and diverse team consisting of research groups at MIT, UCLA, PNNL and Chalmers University was put together, whose specific goals, achievements and breakthroughs are included in this report.
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Metadata
- Type
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- Language
- en
- Landing Page
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- OA Status
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- Related Works
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- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
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- DOI
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https://doi.org/10.2172/1821178Digital Object Identifier
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Optimizing Oil Production in Oleaginous Yeast by Cell-Wide Measurements and Genome-Based Models (Final Report)Work title
- Type
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reportOpenAlex work type
- Language
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enPrimary language
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2021Year of publication
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2021-09-20Full publication date if available
- Authors
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Gregory Stephanopoulos, James C. Liao, Jens Nielsen, Scott Baker, Andreas E. Vasdekis, Adrian Fay, Kangjian Qiao, Andrew M. Silverman, Nian Liu, Peng Xu, Thomas M. Wasylenko, Hongjuan Liu, Sagar Chakraborty, Jimmy Lafontaine Rivera, Yun Bin Lee, Po-Wei Chen, Matthew K. Theisen, Eduard J. Kerkhoven, Michael Gossing, Kyle Pomraning, Erin Bredeweg, Ziyu Dai, Sue A. KaragiosisList of authors in order
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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https://www.osti.gov/biblio/1821178Direct OA link when available
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Yarrowia, Metabolic engineering, Biotechnology, Synthetic biology, Biochemical engineering, Yeast, Computational biology, Biology, Engineering, Gene, BiochemistryTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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