{"id":160,"date":"2024-03-05T17:15:37","date_gmt":"2024-03-05T17:15:37","guid":{"rendered":"https:\/\/lab.dev.vanderbilt.edu\/younglab\/?page_id=160"},"modified":"2024-04-30T02:25:48","modified_gmt":"2024-04-30T02:25:48","slug":"research","status":"publish","type":"page","link":"https:\/\/lab.dev.vanderbilt.edu\/younglab\/research\/","title":{"rendered":"Research"},"content":{"rendered":"
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Diabetes\u00a0and Obesity<\/h4>\n<\/div>\n<\/div>\n
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An integrated network approach to understand in vivo<\/em> metabolism in health and disease<\/h3>\n<\/div>\n<\/div>\n<\/div>\n

Control of nutrient metabolism is distributed across a network of interacting tissues and organs. This metabolic crosstalk, however, can become dysfunctional in conditions such as diabetes and obesity. Our lab uses metabolic tracers to quantify the flow of metabolites within and between organ systems to better understand the burden of metabolic disease and identify potential targets for intervention. We couple these in vivo projects with in vitro systems to isolate mechanisms of cellular metabolic dysfunction from the global impact of overnutrition.<\/p>\n

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Cell\u00a0Culture Engineering<\/a><\/h4>\n

Engineering mitochondrial metabolism as a strategy to maximize IgG production<\/h3>\n

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We are aiming to engineer CHO metabolism to promote mitochondrial respiration and TCA cycle flux specifically during the stationary phase, in order to minimize negative impacts on culture growth during the exponential phase. [Read more]<\/p>\n

Selected publications:<\/strong><\/p>\n

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  1. S. A. Sacco, A. G. McAtee, I. Trenary, K. D. Smith, M. J. Betenbaugh, J. D. Young. Overexpression of peroxisome proliferator-activated receptor co-activator-1\u03b1 (PGC-1\u03b1) in Chinese hamster ovary cells increases oxidative metabolism and IgG productivity.\u00a0Metabolic Engineering\u00a079:108-117, 2023.<\/li>\n
  2. S. A. Sacco, A. M. Tuckowski, I. Trenary, L. Kraft, M. J. Betenbaugh, J. D. Young, K. D. Smith*. Attenuation of glutamine synthetase selection marker improves product titer and reduces glutamine overflow in Chinese hamster ovary cells. Biotechnology and Bioengineering 119:1712\u20131727, 2022.<\/li>\n<\/ol>\n

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    Photosynthesis\u00a0Research<\/a><\/h4>\n

    Understanding metabolism of photosynthetic organisms<\/h3>\n

    We apply 13<\/sup>C flux analysis to quantify metabolic phenotypes of plants, cyanobacteria and diatom in response to genetic perturbations and environmental changes. [read more]<\/p>\n

    Selected Publications:<\/strong>
    \n1.\u00a0F Ma, LJ Jazmin, JD Young, DK Allen. Isotopically nonstationary 13C flux analysis of changes in Arabidopsis thaliana leaf metabolism due to high light acclimation. 2014. Proceedings of the National Academy of Sciences 111 (47), 16967-16972<\/p>\n

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    Enhancing metabolic flux to photosynthetic bioproducts<\/h3>\n

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    We are applying 13<\/sup>C flux analysis and metabolic engineering to redirect carbon flux toward biofuels, nutrients, and chemicals in engineered strains of cyanobacteria. [read more]<\/p>\n

    Selected Publications<\/strong>:<\/p>\n

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    1. B Wang, C Zuniga, MT Guarnieri, K Zengler, M Betenbaugh, JD Young. Metabolic engineering of Synechococcus elongatus 7942 for enhanced sucrose biosynthesis. 2023. Metabolic Engineering 80, 12-24<\/li>\n
    2. YE Cheah, Y Xu, SA Sacco, PK Babele, AO Zheng, CH Johnson, …Systematic identification and elimination of flux bottlenecks in the aldehyde production pathway of Synechococcus elongatus PCC 7942. 2020. Metabolic engineering 60, 56-65<\/li>\n
    3. LJ Jazmin, Y Xu, YE Cheah, AO Adebiyi, CH Johnson, JD Young. Isotopically nonstationary 13C flux analysis of cyanobacterial isobutyraldehyde production. 2017. Metabolic engineering 42, 9-18<\/li>\n<\/ol>\n

      Extracellular Vesicle Biomanufacturing<\/h4>\n

      Scalable Stem Cell-Based (iPSCs) Platform to Produce Tissue-Specific Extracellular Vesicles (EVs)<\/h3>\n

      \"\"We are applying scalable biomanufacturing strategies to STEM cell growth conditions to increase extracellular vesicle production.<\/p>\n

       <\/p>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

      Diabetes\u00a0and Obesity An integrated network approach to understand in vivo metabolism in health and disease Control of nutrient metabolism is distributed across a network of interacting tissues and organs. This metabolic crosstalk, however, can become dysfunctional in conditions such as diabetes and obesity. Our lab uses metabolic tracers to quantify the flow of metabolites within…<\/p>\n","protected":false},"author":465,"featured_media":0,"parent":0,"menu_order":2,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"tags":[],"class_list":["post-160","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/lab.dev.vanderbilt.edu\/younglab\/wp-json\/wp\/v2\/pages\/160","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lab.dev.vanderbilt.edu\/younglab\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/lab.dev.vanderbilt.edu\/younglab\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/lab.dev.vanderbilt.edu\/younglab\/wp-json\/wp\/v2\/users\/465"}],"replies":[{"embeddable":true,"href":"https:\/\/lab.dev.vanderbilt.edu\/younglab\/wp-json\/wp\/v2\/comments?post=160"}],"version-history":[{"count":18,"href":"https:\/\/lab.dev.vanderbilt.edu\/younglab\/wp-json\/wp\/v2\/pages\/160\/revisions"}],"predecessor-version":[{"id":430,"href":"https:\/\/lab.dev.vanderbilt.edu\/younglab\/wp-json\/wp\/v2\/pages\/160\/revisions\/430"}],"wp:attachment":[{"href":"https:\/\/lab.dev.vanderbilt.edu\/younglab\/wp-json\/wp\/v2\/media?parent=160"}],"wp:term":[{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lab.dev.vanderbilt.edu\/younglab\/wp-json\/wp\/v2\/tags?post=160"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}