@article{bibcite_1146,
  keywords = {Gene expression, induced pluripotent stem cells, RNA sequencing, Stem-cell biotechnology},
  author = {Drew R. Neavin and Angela M. Steinmann and Nona Farbehi and Han Sheng Chiu and Maciej S. Daniszewski and Himanshi Arora and Yasmin Bermudez and C{\'a}tia Moutinho and Chia-Ling Chan and Monique Bax and Mubarika Tyebally and Vikkitharan Gnanasambandapillai and Chuan E. Lam and Uyen Nguyen and Dami{\'a}n Hern{\'a}ndez and Grace E. Lidgerwood and Robert M. Graham and Alex W. Hewitt and Alice P{\'e}bay and Nathan J. Palpant and Joseph E. Powell},
  title = {A village in a dish model system for population-scale hiPSC studies},
  abstract = {The mechanisms by which DNA alleles contribute to disease risk, drug response, and other human phenotypes are highly context-specific, varying across cell types and different conditions. Human induced pluripotent stem cells are uniquely suited to study these context-dependent effects but cell lines from hundreds or thousands of individuals are required. Village cultures, where multiple induced pluripotent stem lines are cultured and differentiated in a single dish, provide an elegant solution for scaling induced pluripotent stem experiments to the necessary sample sizes required for population-scale studies. Here, we show the utility of village models, demonstrating how cells can be assigned to an induced pluripotent stem line using single-cell sequencing and illustrating that the genetic, epigenetic or induced pluripotent stem line-specific effects explain a large percentage of gene expression variation for many genes. We demonstrate that village methods can effectively detect induced pluripotent stem line-specific effects, including sensitive dynamics of cell states.},
  year = {2023},
  journal = {Nature Communications},
  volume = {14},
  pages = {3240},
  month = {2023-06-09},
  issn = {2041-1723},
  url = {https://www.nature.com/articles/s41467-023-38704-1},
  doi = {10.1038/s41467-023-38704-1},
  language = {en},
}