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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“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]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
(2008) · Journal of Machine Learning Research · Cited by 33,051
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
Self-citation
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)
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Cell population structure prior to bifurcation predicts efficiency of directed differentiation in human induced pluripotent cells. https://app.cochat.ai/papers/10.1073/pnas.1621412114
- The paper
- Bargaje, R., Trachana, K., Shelton, M. N., McGinnis, C. S., Zhou, J. X., Chadick, C., Cook, S., Cavanaugh, C., Huang, S., & Hood, L. (2017). Cell population structure prior to bifurcation predicts efficiency of directed differentiation in human induced pluripotent cells. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1621412114
Data sources
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.
