Investigating monogenic and complex diseases with pluripotent stem cells
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Updated: Jun 3, 2026

A Live-cell Image-Based Machine Learning Strategy to Monitor Pluripotent Stem Cell Differentiation
Published on: October 4, 2024
Hao Zhu1, M William Lensch, Patrick Cahan
1Division of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts 02115, USA.
Abstract:
Human genetic studies have revealed the molecular basis of countless monogenic diseases but have been less successful in associating phenotype to genotype in complex multigenic conditions. Pluripotent stem cells (PSCs), which can differentiate into any cell type, offer promise for defining the functional effects of genetic variation. Here, we recount the advantages and practical limitations of coupling PSCs to genome-wide analyses to probe complex genetics and discuss the ability to investigate epigenetic contributions to disease states. We also describe new ways of using mice and mouse embryonic stem cells (ESCs) in tandem with human stem cells to further define genotype-phenotype relationships.
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