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      Exploiting Bioprocessing Fluctuations to Elicit the Mechanistics of De Novo Lipogenesis in Yarrowia lipolytica

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          Abstract

          Despite 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.

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          Stochasticity in gene expression: from theories to phenotypes.

          Genetically identical cells exposed to the same environmental conditions can show significant variation in molecular content and marked differences in phenotypic characteristics. This variability is linked to stochasticity in gene expression, which is generally viewed as having detrimental effects on cellular function with potential implications for disease. However, stochasticity in gene expression can also be advantageous. It can provide the flexibility needed by cells to adapt to fluctuating environments or respond to sudden stresses, and a mechanism by which population heterogeneity can be established during cellular differentiation and development.
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            Single-cell proteomic analysis of S. cerevisiae reveals the architecture of biological noise.

            A major goal of biology is to provide a quantitative description of cellular behaviour. This task, however, has been hampered by the difficulty in measuring protein abundances and their variation. Here we present a strategy that pairs high-throughput flow cytometry and a library of GFP-tagged yeast strains to monitor rapidly and precisely protein levels at single-cell resolution. Bulk protein abundance measurements of >2,500 proteins in rich and minimal media provide a detailed view of the cellular response to these conditions, and capture many changes not observed by DNA microarray analyses. Our single-cell data argue that noise in protein expression is dominated by the stochastic production/destruction of messenger RNAs. Beyond this global trend, there are dramatic protein-specific differences in noise that are strongly correlated with a protein's mode of transcription and its function. For example, proteins that respond to environmental changes are noisy whereas those involved in protein synthesis are quiet. Thus, these studies reveal a remarkable structure to biological noise and suggest that protein noise levels have been selected to reflect the costs and potential benefits of this variation.
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              Lipid droplets: a unified view of a dynamic organelle.

              Lipid droplets form the main lipid store in eukaryotic cells. Although all cells seem to be able to generate lipid droplets, their biogenesis, regulatory mechanisms and interactions with other organelles remain largely elusive. In this article, we outline some of the recent developments in lipid droplet cell biology. We show the mobile and dynamic nature of this organelle, and advocate the adoption of a unified nomenclature to consolidate terminology in this emerging field.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                4 January 2017
                2017
                : 12
                : 1
                : e0168889
                Affiliations
                [1 ]Department of Physics, University of Idaho, Moscow, ID, United States of America
                [2 ]Environmental and Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, United States of America
                [3 ]Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, United States of America
                INRA, FRANCE
                Author notes

                Competing Interests: The authors declare no competing financial interests.

                • Conceptualization: AEV GS.

                • Data curation: AEV.

                • Formal analysis: AEV.

                • Funding acquisition: AEV GS.

                • Investigation: AEV GS.

                • Methodology: AEV AS GS.

                • Project administration: AEV.

                • Resources: AEV AS GS.

                • Software: AEV.

                • Supervision: AEV GS.

                • Validation: AEV.

                • Visualization: AEV.

                • Writing – original draft: AEV GS.

                • Writing – review & editing: AEV GS.

                Author information
                http://orcid.org/0000-0003-4315-1047
                Article
                PONE-D-16-33618
                10.1371/journal.pone.0168889
                5215641
                28052085
                7c4abc57-88e5-4889-a2a0-a050219f2e9a
                © 2017 Vasdekis et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 22 August 2016
                : 7 December 2016
                Page count
                Figures: 5, Tables: 0, Pages: 13
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: P20GM104420
                Funded by: funder-id http://dx.doi.org/10.13039/100000015, U.S. Department of Energy;
                Award ID: SC 0008744
                Award Recipient :
                AEV acknowledges support from an Institutional Development Award (IDeA) from the National Institute of General Medical Sciences of the National Institutes of Health (P20 GM103408), as well as from the Pacific Northwest National Laboratory (Linus Pauling Fellowship – PN12005/2406); GS acknowledges financial support from the US Department of Energy, Grant no. SC 0008744. Part of the research was performed using EMSL, a national user facility sponsored by the Department of Energy’s Office of Biological and Environmental Research located at Pacific Northwest National Laboratory.
                Categories
                Research Article
                Biology and Life Sciences
                Biochemistry
                Lipids
                Engineering and Technology
                Fluidics
                Microfluidics
                Biology and Life Sciences
                Genetics
                Gene Expression
                Protein Translation
                Biology and Life Sciences
                Molecular Biology
                Macromolecular Structure Analysis
                Lipid Analysis
                Biology and Life Sciences
                Biochemistry
                Metabolism
                Lipogenesis
                Biology and Life Sciences
                Biochemistry
                Biosynthesis
                Biology and Life Sciences
                Biochemistry
                Lipids
                Neutral Lipids
                Biology and Life Sciences
                Cell Biology
                Cellular Structures and Organelles
                Endoplasmic Reticulum
                Biology and Life Sciences
                Cell Biology
                Cell Processes
                Secretory Pathway
                Endoplasmic Reticulum
                Custom metadata
                All relevant data are within the paper and its Supporting Information files.

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                Uncategorized

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