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dc.contributor.authorVasdekis, Andreas E.
dc.contributor.authorSilverman, Andrew Michael
dc.contributor.authorStephanopoulos, Gregory
dc.date.accessioned2017-06-16T17:29:25Z
dc.date.available2017-06-16T17:29:25Z
dc.date.issued2017-01
dc.date.submitted2016-08
dc.identifier.issn1932-6203
dc.identifier.urihttp://hdl.handle.net/1721.1/109956
dc.description.abstractDespite substantial achievements in elucidating the metabolic pathways of lipogenesis, a mechanistic representation of lipid accumulation and degradation has not been fully attained to-date. Recent evidence suggests that lipid accumulation can occur through increases of either the cytosolic copy-number of lipid droplets (LDs), or the LDs size. However, the prevailing phenotype, or how such mechanisms pertain to lipid degradation remain poorly understood. To address this shortcoming, we employed the–recently discovered–innate bioprocessing fluctuations in Yarrowia lipolytica, and performed single-cell fluctuation analysis using optical microscopy and microfluidics that generate a quasi-time invariant microenvironment. We report that lipid accumulation at early stationary phase in rich medium is substantially more likely to occur through variations in the LDs copy-number, rather than the LDs size. Critically, these mechanistics are also preserved during lipid degradation, as well as upon exposure to a protein translation inhibitor. The latter condition additionally induced a lipid accumulation phase, accompanied by the downregulation of lipid catabolism. Our results enable an in-depth mechanistic understanding of lipid biogenesis, and expand longitudinal single-cell fluctuation analyses from gene regulation to metabolism.en_US
dc.description.sponsorshipUnited States. Department of Energy (SC 0008744)en_US
dc.language.isoen_US
dc.publisherPublic Library of Scienceen_US
dc.relation.isversionofhttp://dx.doi.org/10.1371/journal.pone.0168889en_US
dc.rightsCreative Commons Attribution 4.0 International Licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.sourcePLoSen_US
dc.titleExploiting Bioprocessing Fluctuations to Elicit the Mechanistics of De Novo Lipogenesis in Yarrowia lipolyticaen_US
dc.typeArticleen_US
dc.identifier.citationVasdekis, Andreas E.; Silverman, Andrew M. and Stephanopoulos, Gregory. “Exploiting Bioprocessing Fluctuations to Elicit the Mechanistics of De Novo Lipogenesis in Yarrowia Lipolytica.” Edited by Thierry Chardot. PLOS ONE 12, no. 1 (January 2017): e0168889 © 2017 Vasdekis et alen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Chemical Engineeringen_US
dc.contributor.mitauthorSilverman, Andrew Michael
dc.contributor.mitauthorStephanopoulos, Gregory
dc.relation.journalPLoS ONEen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsVasdekis, Andreas E.; Silverman, Andrew M.; Stephanopoulos, Gregoryen_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0001-7209-7786
dc.identifier.orcidhttps://orcid.org/0000-0001-6909-4568
mit.licensePUBLISHER_CCen_US


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