The studying and monitoring of physiological and metabolic changes in Saccharomyces cerevisiae (S. cerevisiae) has been a key research area for the brewing, baking, and biofuels industries, which rely on these economically important yeasts to produce their products. Specifically for breweries, physiological and metabolic parameters such as viability, vitality, glycogen, neutral lipid, and trehalose content can be measured to better understand the status of S. cerevisiae during fermentation. Traditionally, these physiological and metabolic changes can be qualitatively observed using fluorescence microscopy or flow cytometry for quantitative fluorescence analysis of fluorescently labeled cellular components associated with each parameter. However, both methods pose known challenges to the end-users. Specifically, conventional fluorescent microscopes lack automation and fluorescence analysis capabilities to quantitatively analyze large numbers of cells. Although flow cytometry is suitable for quantitative analysis of tens of thousands of fluorescently labeled cells, the instruments require a considerable amount of maintenance, highly trained technicians, and the system is relatively expensive to both purchase and maintain. In this work, we demonstrate the first use of Cellometer Vision for the kinetic detection and analysis of vitality, glycogen, neutral lipid, and trehalose content of S. cerevisiae. This method provides an important research tool for large and small breweries to study and monitor these physiological behaviors during production, which can improve fermentation conditions to produce consistent and higher-quality products.

The measurements of concentration, viability, and budding percentages of Saccharomyces cerevisiae are performed on a routine basis in the brewing and biofuel industries. Generation of these parameters is of great importance in a manufacturing setting, where they can aid in the estimation of product quality, quantity, and fermentation time of the manufacturing process. Specifically, budding percentages can be used to estimate the reproduction rate of yeast populations, which directly correlates with metabolism of polysaccharides and bioethanol production, and can be monitored to maximize production of bioethanol during fermentation. The traditional method involves manual counting using a hemacytometer, but this is time-consuming and prone to human error. In this study, we developed a novel automated method for the quantification of yeast budding percentages using Cellometer image cytometry. The automated method utilizes a dual-fluorescent nucleic acid dye to specifically stain live cells for imaging analysis of unique morphological characteristics of budding yeast. In addition, cell cycle analysis is performed as an alternative method for budding analysis. We were able to show comparable yeast budding percentages between manual and automated counting, as well as cell cycle analysis. The automated image cytometry method is used to analyze and characterize corn mash samples directly from fermenters during standard fermentation. Since concentration, viability, and budding percentages can be obtained simultaneously, the automated method can be integrated into the fermentation quality assurance protocol, which may improve the quality and efficiency of beer and bioethanol production processes.

Humanized immune system (HIS) mice - immunocompromised Nod.Cg-Prkdcscid Il2rgtm1Wjl/SzJ animals in which the immune system has been humanized by the engraftment of CD34+ hematopoietic stem cells (HSC), peripheral blood mononuclear cells (PBMC), or other human cells/tissues - represent an important tool in pre-clinical oncology research. Here we investigated several pre-conditioning regimens (Busulfan pre-treatment or total body irradiation (TBI)) to determine which would yield maximum human leukocyte engraftment and lineage diversity. Animals were pre-treated either one or two doses of Busulfan (25 mg/kg) or varying doses of TBI (1.75, 2.0, or 2.5 Gy). One to two days later, animals received an adoptive transfer of native hCD34+ HSCs. Engraftment was monitored by flow cytometry assessment of peripheral blood four weeks after adoptive-transfer, and every four weeks thereafter through experiment termination at Week 16. Upon termination, spleen and bone-marrow were assessed for various leukocyte populations by flow cytometry. Animals undergoing pre-conditioning displayed increased human CD45+ cell engraftment at all timepoints as compared to animals without pre-conditioning, with animals treated with two doses of Busulfan demonstrating the greatest human CD45+ engraftment at all timepoints and reaching statistical significance at endpoint (vs no pre-conditioning; p<0.05). Diversity of leukocyte cell types (B cells, T cells, NK cells, and other hCD45+) in the bone-marrow was similar across pre-treatment paradigms, however for some lineages, representation in the bone-marrow was significantly altered between pre-conditioning type. The absolute number of T or B cells were increased in TBI and Busulfan treated groups, respectively, whereas NK cells as a percentage of singlets were increased in TBI treated groups. The diversity of leukocyte cell types in the spleen was likewise similar across groups, with B cells dominating. These data provide important insights into the utility of various pre-conditioning regimens for the humanization of NSG mice for pre-clinical oncology research, and demonstrate that the optimum pre-conditioning regimens should be selected based on treatment target. Citation Format: Caitlin S. Parello, Benjamin G. Cuiffo, Alexandria Kury, Kasey Reardon, Brett Van Dam, Sallyann Vu, Catarina Costa, Veronica Ritchie, Gavin Gagnon, Timothy Bateson, Samantha Rogers, Gregory D. Lyng, Stephen T. Sonis. An assessment of pre-conditioning regimens for optimal hCD34+ hematopoietic stem cell humanization of NSGTMmice [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 511.

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