It has been observed that there is an imperative to develop predictive human systems that more effectively study and/or prevent the onset of liver disease and decompensated organ function. A serum‐free, scalable, and shippable cell‐based model that faithfully predicts the potential for human liver injury has been developed. Such a resource has direct application in human modeling, and, in the future, could play an important role in developing renewable cell‐based therapies.
Faithfully recapitulating human physiology "in a dish" from a renewable source remains a holy grail for medicine and pharma. Many procedures have been described that, to a limited extent, exhibit human tissue-specific function in vitro. In particular, incomplete cellular differentiation and/or the loss of cell phenotype postdifferentiation play a major part in this void. We have developed an interdisciplinary approach to address this problem, using skill sets in cell biology, materials chemistry, and pharmacology. Pluripotent stem cells were differentiated to hepatocytes before being replated onto a synthetic surface. Our approach yielded metabolically active hepatocyte populations that displayed stable function for more than 2 weeks in vitro. Although metabolic activity was an important indication of cell utility, the accurate prediction of cellular toxicity in response to specific pharmacological compounds represented our goal. Therefore, detailed analysis of hepatocellular toxicity was performed in response to a custom-built and well-defined compound set and compared with primary human hepatocytes. Importantly, stem cell-derived hepatocytes displayed equivalence to primary human material. Moreover, we demonstrated that our approach was capable of modeling metabolic differences observed in the population. In conclusion, we report that pluripotent stem cell-derived hepatocytes will model toxicity predictably and in a manner comparable to current gold standard assays, representing a major advance in the field. STEM CELLS TRANSLATIONAL MEDICINE 2013;2:505-509
The results show that LND can reduce pHi in human melanoma cells cultured at a tumour-like low pHe so that the 42 °C induction of HSPs are abrogated and the cells are sensitised to thermal therapy. Cells cultured at a normal tissue-like pHe 7.3 were not sensitised to 42 °C by LND. These findings support the strategy that human melanoma cells growing in an acidic environment can be sensitised to thermal therapy in vivo by exposure to an MCT inhibitor such as LND.
Melanoma exhibits heterogeneous growth patterns and widely varying sensitivities to multiple treatment modalities. This variability may reflect intrinsic genetic differences in factors giving rise to altered metabolism. Glucose is the primary energy source of tumours, including melanoma, and glucose transporter isoform 1 (Glut-1) and hexokinase are key rate-limiting factors in glucose metabolism. The levels of Glut-1 and total hexokinase activity were measured in 31 melanoma biopsies to determine the extent of tumour-to-tumour variability in these parameters. Relative Glut-1 levels were determined by Western immunoblot analysis using human anti-Glut-1 rabbit polyclonal antibody, and hexokinase activity was measured in the same samples by an enzymatic assay monitoring the reduction in the oxidized form of nicotinamide adenine dinucleotide phosphate (NADP+) (in nmol NADP+ reduced/min per mg protein). All melanomas were from patients who had received no therapy prior to surgery. Immediately after excision, tumour biopsies were disaggregated to single cells by collagenase and DNase and frozen in liquid nitrogen. Thirty human melanomas exhibited a 22-fold variation in levels of Glut-1 and 29 exhibited a nine-fold variation in total cellular hexokinase activity. Glut-1 levels and hexokinase activity were not correlated with one another. The broad range in Glut-1 levels and hexokinase activity observed between melanomas suggests that these glycolytic rate-limiting parameters that influence the rate of glucose metabolism may contribute to the variability in melanoma response to treatment modalities.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.