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Using Human Induced Pluripotent Stem Cell-derived Hepatocyte-like Cells for Drug Discovery
Published on: May 19, 2018
Pharmacogenomic discovery using cell-based models
Marleen Welsh1, Lara Mangravite, Marisa Wong Medina
1Department of Medicine, University of Chicago, Chicago, Illinois 60637, USA.
Pharmacological Reviews
|December 30, 2009
Summary
Cell lines are revolutionizing pharmacogenomics by enabling researchers to study genetic variations affecting drug responses. This approach overcomes limitations of clinical studies, accelerating the discovery of personalized medicine strategies.
Area of Science:
- Pharmacogenomics
- Genetics
- Cell Biology
Background:
- Drug response variation in human populations is influenced by genetic factors.
- Clinical studies face limitations in controlling environmental factors and in vivo manipulation.
- Cell-based models offer a controlled environment for dissecting genetic contributions to drug response.
Purpose of the Study:
- To review recent advancements in using cell lines for pharmacogenomic discovery and validation.
- To discuss the translation of cell-based findings into clinical applications.
- To highlight the utility of cell line panels for functional studies and genetic variation identification.
Main Methods:
- Overview of current cell-based models in pharmacogenomic research.
- Analysis of data from established cell line panels like HapMap and NCI60.
- Utilizing human lymphoblastoid cell lines from diverse ancestral populations for comparative studies.
Main Results:
- Cell line panels provide valuable genotypic, expression, and phenotypic data.
- These resources facilitate the identification of genetic variations influencing drug response.
- Ex vivo models allow for the evaluation of interindividual and interpopulation differences in drug response.
Conclusions:
- Cell lines represent a powerful tool for advancing pharmacogenomic discovery.
- Translational strategies are crucial for applying cell-based findings to clinical settings.
- Continued research with diverse cell line models will enhance personalized medicine approaches.
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