The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Modeling Familial Cancer with Induced Pluripotent Stem Cells
Open accessAbstract
SUMMARY In vitro modeling of human disease has recently become feasible with induced pluripotent stem cell (iPSC) technology. Here, we established patient-derived iPSCs from a Li-Fraumeni Syndrome (LFS) family and investigated the role of mutant p53 in the development of osteosarcoma (OS). LFS iPSC-derived osteoblasts (OBs) recapitulated OS features including defective osteoblastic differentiation as well as tumorigenic ability. Systematic analyses revealed that the expression of genes enriched in LFS-derived OBs strongly correlated with decreased time to tumor recurrence and poor patient survival. Furthermore, LFS OBs exhibited impaired upregulation of the imprinted gene H19 during osteogenesis. Restoration of H19 expression in LFS OBs facilitated osteoblastic differentiation and repressed tumorigenic potential. By integrating human imprinted gene network (IGN) into functional genomic analyses, we found that H19 mediates suppression of LFS-associated OS through the IGN component DECORIN (DCN). In summary, these findings demonstrate the feasibility of studying inherited human cancer syndromes with iPSCs.
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.
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
Trapnell, C., Williams, B. A., Pertea, G., Mortazavi, A., Kwan, G., van Baren, M. J., Salzberg, S. L., Wold, B. J., & Pachter, L. (2010) · Nature Biotechnology · doi:10.1038/nbt.1621 · Cited by 15,556
Induced Pluripotent Stem Cell Lines Derived from Human Somatic Cells
Yu, J., Vodyanik, M. A., Smuga-Otto, K., Antosiewicz-Bourget, J., Frane, J. L., Tian, S., Nie, J., Jonsdottir, G. A., Ruotti, V., Stewart, R., et al. (2007) · Science · doi:10.1126/science.1151526 · Cited by 10,310
A gene atlas of the mouse and human protein-encoding transcriptomes
Su, A. I., Wiltshire, T., Batalov, S., Lapp, H., Ching, K. A., Block, D., Zhang, J., Soden, R., Hayakawa, M., Kreiman, G., et al. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0400782101 · Cited by 3,475
Improving RNA-Seq expression estimates by correcting for fragment bias
Roberts, A., Trapnell, C., Donaghey, J., Rinn, J. L., & Pachter, L. (2011) · Genome Biology · doi:10.1186/gb-2011-12-3-r22 · Cited by 1,725
FUSAKI, N., BAN, H., NISHIYAMA, A., SAEKI, K., & HASEGAWA, M. (2009) · Proceedings of the Japan Academy Series B · doi:10.2183/pjab.85.348 · Cited by 1,411
Mutant p53 gain of function in two mouse models of Li-Fraumeni syndrome
Olive, K. P., Tuveson, D. A., Ruhe, Z. C., Yin, B., Willis, N. A., Bronson, R. T., Crowley, D., & Jacks, T. (2004) · Cell · doi:10.1016/j.cell.2004.11.004 · Cited by 1,308
Patient-specific induced pluripotent stem-cell-derived models of LEOPARD syndrome
Carvajal-Vergara, X., Sevilla, A., D’Souza, S. L., Ang, Y.-S., Schaniel, C., Lee, D.-F., Yang, L., Kaplan, A. D., Adler, E. D., Rozov, R., et al. (2010) · Nature · doi:10.1038/nature09005 · Cited by 690
Self-citation
Cited by
Applications of organoids for cancer biology and precision medicine
Lo, Y.-H., Karlsson, K., & Kuo, C. J. (2020) · Nature Cancer · doi:10.1038/s43018-020-0102-y · Cited by 182
Osteosarcoma: Molecular Pathogenesis and iPSC Modeling
Lin, Y.-H., Jewell, B. E., Gingold, J., Lu, L., Zhao, R., Wang, L. L., & Lee, D.-F. (2017) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2017.06.004 · Cited by 150
Self-citationLong non-coding RNA in lung cancer
Chen, Z., Lei, T., Chen, X., Gu, J., Huang, J., Lu, B., & Wang, Z. (2020) · Clinica Chimica Acta · doi:10.1016/j.cca.2019.11.031 · Cited by 65
Metadata
- Authors
- Lee, D.-F., Su, J., Kim, H. S., Chang, B., Papatsenko, D., Zhao, R., Yuan, Y., Gingold, J., Xia, W., Darr, H., Mirzayans, R., Hung, M.-C., Schaniel, C., & Lemischka, I. R.
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2015-04
- Volume
- 161
- Issue
- 2
- Pages
- 240-254
- ISSN
- 0092-8674 (ISSN-L)
- OpenAlex
- W2121188788
- Cited by
- 224
- References
- 7
- FWCI
- 10.29
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Modeling Familial Cancer with Induced Pluripotent Stem Cells. https://app.cochat.ai/papers/10.1016/j.cell.2015.02.045
- The paper
- Lee, D.-F., Su, J., Kim, H. S., Chang, B., Papatsenko, D., Zhao, R., Yuan, Y., Gingold, J., Xia, W., Darr, H., Mirzayans, R., Hung, M.-C., Schaniel, C., & Lemischka, I. R. (2015). Modeling Familial Cancer with Induced Pluripotent Stem Cells. Cell. https://doi.org/10.1016/j.cell.2015.02.045
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.
