The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
Cell population structure prior to bifurcation predicts efficiency of directed differentiation in human induced pluripotent cells
Abstract
Significance: Induced pluripotent stem cells (iPSCs) open new possibilities for generating personalized disease models and drug testing. However, iPSC differentiation to a specific cell type can take weeks to complete, delaying the optimization process (maximize yield of desired cell types) for each patient’s iPSC. This task can be accelerated if the destination cell type can be determined early during cell lineage trajectory before cells manifest the desired phenotype. Our results indicate such a possibility: by quantifying the cell population structure during a critical state transition, we identified key regulators of lineages commitment and predicted the percentage of desired cell types for several protocol variations 2 wk in advance.
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“This concept has been demonstrated for cell fate decisions by cytokines in cell differentiation (25, 75), and we suggest that analogous dynamics also may play a role in brain development.”
From Behavior-related gene regulatory networks: A new level of organization in the brain (2020) · cites this paper as [75]
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Classification and Regression by randomForest
Liaw, A. I., & Wiener, M. C. (2007) · Cited by 18,594
ConsensusClusterPlus: a class discovery tool with confidence assessments and item tracking
Wilkerson, M. D., & Hayes, D. N. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq170 · Cited by 5,645
Anticipating Critical Transitions
Scheffer, M., Carpenter, S. R., Lenton, T. M., Bascompte, J., Brock, W., Dakos, V., van de Koppel, J., van de Leemput, I. A., Levin, S. A., van Nes, E. H., et al. (2012) · Science · doi:10.1126/science.1225244 · Cited by 2,208
Murry, C. E., & Keller, G. (2008) · Cell · doi:10.1016/j.cell.2008.02.008 · Cited by 1,729
García-Alonso, C. R., Pérez-Naranjo, L. M., & Fernández-Caballero, J. C. (2014) · Annals of Operations Research · doi:10.1007/s10479-011-0841-3 · Cited by 1,353
Mummery, C. L., Zhang, J., Ng, E., Elliott, D. A., Elefanty, A. G., & Kamp, T. J. (2012) · Circulation Research · doi:10.1161/circresaha.110.227512 · Cited by 755
Burridge, P. W., Keller, G., Gold, J. D., & Wu, J. C. (2012) · Cell Stem Cell · doi:10.1016/j.stem.2011.12.013 · Cited by 670
destiny : diffusion maps for large-scale single-cell data in R
Angerer, P., Haghverdi, L., Büttner, M., Theis, F. J., Marr, C., & Buettner, F. (2016) · Bioinformatics · doi:10.1093/bioinformatics/btv715 · Cited by 640
Pluripotent stem cells in disease modelling and drug discovery
Avior, Y., Sagi, I., & Benvenisty, N. (2016) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm.2015.27 · Cited by 592
Cited by
Behavior-related gene regulatory networks: A new level of organization in the brain
Sinha, S., Jones, B. M., Traniello, I. M., Bukhari, S. A., Halfon, M. S., Hofmann, H. A., Huang, S., Katz, P. S., Keagy, J., Lynch, V. J., et al. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1921625117 · Cited by 85
Self-citationTaking Systems Medicine to Heart
Trachana, K., Bargaje, R., Glusman, G., Price, N. D., Huang, S., & Hood, L. E. (2018) · Circulation Research · doi:10.1161/circresaha.117.310999 · Cited by 41
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Metadata
- Authors
- Bargaje, R., Trachana, K., Shelton, M. N., McGinnis, C. S., Zhou, J. X., Chadick, C., Cook, S., Cavanaugh, C., Huang, S., & Hood, L.
- Affiliations
- Institute for Systems Biology, Seattle, WA 98109;
- Institute for Stem Cell & Regenerative Medicine, University of Washington Medicine Research, Seattle, WA 98109
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2017-02-06
- Volume
- 114
- Issue
- 9
- Pages
- 2271-2276
- ISSN
- 0027-8424
- 1091-6490
- Cited by
- 115
- References
- 34
- Language
- en
- Funders
- HHS | NIH | National Institute of General Medical Sciences (2P50GM076547-06A1)
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
