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Liver Bio-Kit

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Academic pricing available upon request*

Description

Available for early-adopter use, our human Liver Bio-Kit includes the items you need to conduct your research. This kit includes Organ-Chips, Pod™ portable modules, primary liver cells, reagents, and support from our team of experts.
  • The Liver-Chip recreates true-to-life functions of the liver and is available in three different cell configurations: co-culture, tri-culture, and quad-culture
  • Our chip has been used for hepatotoxicity risk assessment, and we are currently developing disease state chips which can be used to model steatosis, cirrhosis / fibrosis, and infectious diseases
  • The Liver Bio-Kit includes primary human liver cells sourced from qualified vendors; the cells come with demographic data and a full CYP panel. Cells are shipped directly from our vendor in a cryogenic storage dewar.
  • Training from our team of experts is included for first time users

*Contact us for more information or to learn about academic pricing.

 

Configurations

Multiple configurations are available to meet the needs of your study

  • Co-culture: hepatocytes + liver sinusoidal endothelial cells
  • Tri-culture: co-culture + Kupffer cells or stellate cells
  • Quad-culture: hepatocytes + liver sinusoidal endothelial cells + Kupffer cells + stellate cells

Applications

  • Hepatoxicity
  • Safety and Risk Assessment (DILI)
  • Efficacy
  • Mechanistic and investigative toxicology
  • Species differences
  • Drug-drug interactions
  • Intrinsic clearance of low-turnover compounds

Endpoints

  • Morphology (e.g., live and immunofluorescence staining, H&E, SEM)
  • Viability (e.g., LDH, ATP)
  • DILI markers (e.g., AST, ALT, mir-122) 
  • Protein production (e.g.,albumin, urea)
  • CYP450 activity and gene expression
  • Energy metabolism (e.g., iron, cholesterol, lipids, glucose)
  • Cytokine production
  • Bile canaliculi transport (e.g.,def MRP2, BSEP, CFDA, CFA)
  • Oxidative Stress (e.g., ROS) 
  • -Omics data (transcriptomics, proteomics, metabolomics)

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