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1.
Article in English | MEDLINE | ID: mdl-32793579

ABSTRACT

Human cardiomyocytes (CMs) have potential for use in therapeutic cell therapy and high-throughput drug screening. Because of the inability to expand adult CMs, their large-scale production from human pluripotent stem cells (hPSC) has been suggested. Significant improvements have been made in understanding directed differentiation processes of CMs from hPSCs and their suspension culture-based production at chemically defined conditions. However, optimization experiments are costly, time-consuming, and highly variable, leading to challenges in developing reliable and consistent protocols for the generation of large CM numbers at high purity. This study examined the ability of data-driven modeling with machine learning for identifying key experimental conditions and predicting final CM content using data collected during hPSC-cardiac differentiation in advanced stirred tank bioreactors (STBRs). Through feature selection, we identified process conditions, features, and patterns that are the most influential on and predictive of the CM content at the process endpoint, on differentiation day 10 (dd10). Process-related features were extracted from experimental data collected from 58 differentiation experiments by feature engineering. These features included data continuously collected online by the bioreactor system, such as dissolved oxygen concentration and pH patterns, as well as offline determined data, including the cell density, cell aggregate size, and nutrient concentrations. The selected features were used as inputs to construct models to classify the resulting CM content as being "sufficient" or "insufficient" regarding pre-defined thresholds. The models built using random forests and Gaussian process modeling predicted insufficient CM content for a differentiation process with 90% accuracy and precision on dd7 of the protocol and with 85% accuracy and 82% precision at a substantially earlier stage: dd5. These models provide insight into potential key factors affecting hPSC cardiac differentiation to aid in selecting future experimental conditions and can predict the final CM content at earlier process timepoints, providing cost and time savings. This study suggests that data-driven models and machine learning techniques can be employed using existing data for understanding and improving production of a specific cell type, which is potentially applicable to other lineages and critical for realization of their therapeutic applications.

2.
Biotechnol Prog ; 36(4): e2986, 2020 07.
Article in English | MEDLINE | ID: mdl-32108999

ABSTRACT

Cardiovascular disease is the leading cause of death worldwide, and current treatments are ineffective or unavailable to majority of patients. Engineered cardiac tissue (ECT) is a promising treatment to restore function to the damaged myocardium; however, for these treatments to become a reality, tissue fabrication must be amenable to scalable production and be used in suspension culture. Here, we have developed a low-cost and scalable emulsion-based method for producing ECT microspheres from poly(ethylene glycol) (PEG)-fibrinogen encapsulated mouse embryonic stem cells (mESCs). Cell-laden microspheres were formed via water-in-oil emulsification; encapsulation occurred by suspending the cells in hydrogel precursor solution at cell densities from 5 to 60 million cells/ml, adding to mineral oil and vortexing. Microsphere diameters ranged from 30 to 570 µm; size variability was decreased by the addition of 2% poly(ethylene glycol) diacrylate. Initial cell encapsulation density impacted the ability for mESCs to grow and differentiate, with the greatest success occurring at higher cell densities. Microspheres differentiated into dense spheroidal ECTs with spontaneous contractions occurring as early as Day 10 of cardiac differentiation; furthermore, these ECT microspheres exhibited appropriate temporal changes in gene expression and response to pharmacological stimuli. These results demonstrate the ability to use an emulsion approach to encapsulate pluripotent stem cells for use in microsphere-based cardiac differentiation.


Subject(s)
Cell Differentiation/drug effects , Hydrogel, Polyethylene Glycol Dimethacrylate/pharmacology , Mouse Embryonic Stem Cells/cytology , Pluripotent Stem Cells/cytology , Animals , Cell Differentiation/genetics , Cell Encapsulation/methods , Cell Proliferation/drug effects , Emulsions/chemistry , Emulsions/pharmacology , Humans , Hydrogel, Polyethylene Glycol Dimethacrylate/chemistry , Mice , Microspheres , Mouse Embryonic Stem Cells/drug effects , Pluripotent Stem Cells/drug effects , Tissue Engineering/trends
3.
J Vis Exp ; (146)2019 04 19.
Article in English | MEDLINE | ID: mdl-31058903

ABSTRACT

Lipid droplets (LDs) are bioactive organelles found within the cytosol of the most eukaryotic and some prokaryotic cells. LDs are composed of neutral lipids encased by a monolayer of phospholipids and proteins. Hepatic LD lipids, such as ceramides, and proteins are implicated in several diseases that cause hepatic steatosis. Although previous methods have been established for LD isolation, they require a time-consuming preparation of reagents and are not designed for the isolation of multiple subcellular compartments. We sought to establish a new protocol to enable the isolation of LDs, endoplasmic reticulum (ER), and lysosomes from a single mouse liver. Further, all reagents used in the protocol presented here are commercially available and require minimal reagent preparation without sacrificing LD purity. Here we present data comparing this new protocol to a standard sucrose gradient protocol, demonstrating comparable purity, morphology, and yield. Additionally, we can isolate ER and lysosomes using the same sample, providing detailed insight into the formation and intracellular flux of lipids and their associated proteins.


Subject(s)
Cell Fractionation/methods , Lipid Droplets , Liver/ultrastructure , Organelles , Animals , Endoplasmic Reticulum , Female , Lysosomes , Mice , Mice, Inbred C57BL , Phospholipids/metabolism , Proteins/metabolism
4.
Sci Rep ; 8(1): 12923, 2018 08 27.
Article in English | MEDLINE | ID: mdl-30150688

ABSTRACT

Obesogenic lipids and the sphingolipid ceramide have been implicated as potential cofactors in alcoholic liver disease (ALD) patients. However, the mechanisms by which these lipids modulate lipid trafficking in ethanol-treated human liver cells to promote steatosis, an early stage of ALD, are poorly understood. We measured fatty acid (FA) uptake, triglyceride export, FA synthesis and FA oxidation in human hepatoma (VL-17A) cells in response to ethanol and the exogenous lipids oleate, palmitate and C2 ceramide. We found that in combination with ethanol, both oleate and palmitate promote lipid droplet accumulation while C2 ceramide inhibits lipid droplet accumulation by enhancing FA oxidation. Further, using both a pharmacologic and siRNA approach to reduce peroxisome proliferator-activated receptors α (PPARα) gene expression, we demonstrate that C2 ceramide abrogates ethanol-mediated suppression of FA oxidation through an indirect PPARα mechanism. Together, these data suggest that lipids interact differentially with ethanol to modulate hepatocellular lipid droplet accumulation and may provide novel targets for preventing the earliest stage of alcoholic liver disease, alcoholic steatosis.


Subject(s)
Carcinoma, Hepatocellular/metabolism , Ceramides/pharmacology , Ethanol/pharmacology , Liver Neoplasms/metabolism , AMP-Activated Protein Kinases/genetics , AMP-Activated Protein Kinases/metabolism , Blotting, Western , Carcinoma, Hepatocellular/genetics , Humans , Lipid Metabolism/drug effects , Lipid Metabolism/genetics , Liver Neoplasms/genetics , Oxidation-Reduction/drug effects , Perilipin-2/genetics , Perilipin-2/metabolism , Reverse Transcriptase Polymerase Chain Reaction , Tandem Mass Spectrometry
5.
FASEB J ; 32(1): 130-142, 2018 01.
Article in English | MEDLINE | ID: mdl-28864659

ABSTRACT

Perilipin 2 (PLIN2) is a lipid-droplet protein that is up-regulated in alcoholic steatosis and associated with hepatic accumulation of ceramides, bioactive lipids implicated in alcoholic liver disease pathogenesis. The specific role of ceramide synthetic enzymes in the regulation of PLIN2 and promotion of hepatocellular lipid accumulation is not well understood. We examined the effects of pharmacologic ceramide synthesis inhibition on hepatic PLIN2 expression, steatosis, and glucose and lipid homeostasis in mice with alcoholic steatosis and in ethanol-incubated human hepatoma VL17A cells. In cells, pharmacologic inhibition of ceramide synthase reduced lipid accumulation by reducing PLIN2 RNA stability. The subtype ceramide synthase (CerS)6 was specifically up-regulated in experimental alcoholic steatosis in vivo and in vitro and was up-regulated in zone 3 hepatocytes in human alcoholic steatosis. In vivo ceramide reduction by inhibition of de novo ceramide synthesis reduced PLIN2 and hepatic steatosis in alcohol-fed mice, but only de novo synthesis inhibition, not sphingomyelin hydrolysis, improved glucose tolerance and dyslipidemia. These findings implicate CerS6 as a novel regulator of PLIN2 and suggest that ceramide synthetic enzymes may promote the earliest stage of alcoholic liver disease, alcoholic steatosis.-Williams, B., Correnti, J., Oranu, A., Lin, A., Scott, V., Annoh, M., Beck, J., Furth, E., Mitchell, V., Senkal, C. E., Obeid, L., Carr, R. M. A novel role for ceramide synthase 6 in mouse and human alcoholic steatosis.


Subject(s)
Fatty Liver, Alcoholic/enzymology , Membrane Proteins/metabolism , Sphingosine N-Acyltransferase/metabolism , Animals , Biosynthetic Pathways , Cell Line , Ceramides/biosynthesis , Disease Models, Animal , Ethanol , Fatty Liver, Alcoholic/etiology , Fatty Liver, Alcoholic/genetics , Glucose/metabolism , Humans , Lipid Metabolism , Liver/drug effects , Liver/metabolism , Male , Membrane Proteins/antagonists & inhibitors , Membrane Proteins/genetics , Mice , Mice, Inbred C57BL , Perilipin-2/genetics , Perilipin-2/metabolism , RNA Stability , Sphingomyelin Phosphodiesterase/antagonists & inhibitors , Sphingomyelin Phosphodiesterase/metabolism , Sphingosine N-Acyltransferase/antagonists & inhibitors , Sphingosine N-Acyltransferase/genetics , Up-Regulation/drug effects
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