Abstract
Large cohorts of human induced pluripotent stem cells (iPSCs) from healthy donors are a potentially powerful tool for investigating the relationship between genetic variants and cellular behavior. Here, we integrate high content imaging of cell shape, proliferation, and other phenotypes with gene expression and DNA sequence datasets from over 100 human iPSC lines. By applying a dimensionality reduction approach, Probabilistic Estimation of Expression Residuals (PEER), we extracted factors that captured the effects of intrinsic (genetic concordance between different cell lines from the same donor) and extrinsic (cell responses to different fibronectin concentrations) conditions. We identify genes that correlate in expression with intrinsic and extrinsic PEER factors and associate outlier cell behavior with genes containing rare deleterious non-synonymous SNVs. Our study, thus, establishes a strategy for examining the genetic basis of inter-individual variability in cell behavior.
Original language | English |
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Pages (from-to) | 2078-2087.e3 |
Journal | Cell Reports |
Volume | 26 |
Issue number | 8 |
Early online date | 19 Feb 2019 |
DOIs | |
Publication status | Published - 19 Feb 2019 |
Keywords
- SNV
- cell adhesion
- dimensionality reduction
- fibronectin
- genetic variation
- high content imaging
- iPSC
- stem cell niche
- stem cells