Case Study: Developing Predictive Liver Models from Pluripotent Stem Cells
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The development of renewable human liver models, from genetically defined origins, is likely to be a game-changing addition to the field of Predictive Toxicology. However, for these models to have significant impact they must be stable in character and capable of manufacture at scale.
For this reason, we have chosen to use pluripotent stem cells (PSCs). We have developed highly efficient, scalable, and reliable differentiation procedures for use with PSCs, which demonstrate very promising qualities.
In collaboration with industry and academic laboratories, we provide proof of concept that stem cell derived hepatocytes are scalable and metabolise drugs. In addition, our stem cell based systems possess an intact innate immune system and are capable of predicting human drug-induced liver injury, in line with current gold standard human models. Our most recent advances will be discussed at the meeting.
When: 21st November at 3pm GMT
How: Register for this webinar using the button above and you will recieve instructions on how to attend this live webinar.
About the Predictive Toxicology Academy: Following a series of successful real world conferences, to aid worldwide accessibility the Predictive Toxicology Academy brings you an evolving hub of online resources all accessible from the comfort of your desk. This November, the Academy will grow to become a library hosting a portfolio of various multimedia including live interactive sessions, whitepapers, podcasts, infographics, articles and interviews. Each week will have a fresh topic of focus within predictive toxicology.
Register for updates for the Predictive Toxicology Academy here today.
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Dr David Hay is a Principal Investigator at the University of Edinburgh’s MRC Centre for Regenerative Medicine. David has worked in the field of stem cell biology and differentiation over the last fifteen years. David and his team have highlighted the important role that pluripotent stem cells have to play in modelling human liver biology ‘in a dish’.