The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Visualizing Engrafted Human Cancer and Therapy Responses in Immunodeficient Zebrafish
Open accessAbstract
Summary Xenograft cell transplantation into immunodeficient mice has become the gold-standard for assessing pre-clinical efficacy of cancer drugs, yet direct visualization of single cell phenotypes is difficult. Here, we report an optically-clear, prkdc−/−, il2rga−/− zebrafish that lack adaptive and natural killer immune cells, can engraft a wide array of human cancers at 37°C, and permit the dynamic visualization of single engrafted cells. For example, photoconversion cell lineage-tracing identified migratory and proliferative cell states in human rhabdomyosarcoma, a pediatric cancer of muscle. Additional experiments identified the preclinical efficacy of combination olaparib PARP-inhibitor and temozolomide DNA-damaging agent as an effective therapy for rhabdomyosarcoma and visualized therapeutic responses using a four-color FUCCI cell cycle fluorescent reporter. These experiments identified that combination treatment arrested rhabdomyosarcoma cells in the G2 cell cycle prior to induction of apoptosis. Finally, patient-derived xenografts could be engrafted into our model, opening new avenues for developing personalized-therapeutic approaches in the future.
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
Systematic identification of genomic markers of drug sensitivity in cancer cells
Garnett, M. J., Edelman, E. J., Heidorn, S. J., Greenman, C. D., Dastur, A., Lau, K. W., Greninger, P., Thompson, I. R., Luo, X., Soares, J., et al. (2012) · Nature · doi:10.1038/nature11005 · Cited by 2,456
Self-citationChromosomal instability drives metastasis through a cytosolic DNA response
Bakhoum, S. F., Ngo, B., Laughney, A. M., Cavallo, J.-A., Murphy, C. J., Ly, P., Shah, P., Sriram, R. K., Watkins, T. B. K., Taunk, N. K., et al. (2018) · Nature · doi:10.1038/nature25432 · Cited by 1,593
Transparent Adult Zebrafish as a Tool for In Vivo Transplantation Analysis
White, R. M., Sessa, A., Burke, C., Bowman, T., LeBlanc, J., Ceol, C., Bourque, C., Dovey, M., Goessling, W., Burns, C. E., et al. (2008) · Cell Stem Cell · doi:10.1016/j.stem.2007.11.002 · Cited by 1,408
Mutual regulation of tumour vessel normalization and immunostimulatory reprogramming
Tian, L., Goldstein, A., Wang, H., Ching Lo, H., Sun Kim, I., Welte, T., Sheng, K., Dobrolecki, L. E., Zhang, X., Putluri, N., et al. (2017) · Nature · doi:10.1038/nature21724 · Cited by 841
Development and function of human innate immune cells in a humanized mouse model
Rongvaux, A., Willinger, T., Martinek, J., Strowig, T., Gearty, S. V., Teichmann, L. L., Saito, Y., Marches, F., Halene, S., Palucka, A. K., et al. (2014) · Nature Biotechnology · doi:10.1038/nbt.2858 · Cited by 789
Orthotopic patient-derived xenografts of paediatric solid tumours
Stewart, E., Federico, S. M., Chen, X., Shelat, A. A., Bradley, C., Gordon, B., Karlstrom, A., Twarog, N. R., Clay, M. R., Bahrami, A., et al. (2017) · Nature · doi:10.1038/nature23647 · Cited by 286
Cited by
Pre-clinical Models of Metastasis in Pancreatic Cancer
Miquel, M., Zhang, S., & Pilarsky, C. (2021) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2021.748631 · Cited by 53
Conditional reprogramming culture conditions facilitate growth of lower-grade glioma models
Yuan, M., White, D., Resar, L., Bar, E., Groves, M., Cohen, A., Jackson, E., Bynum, J., Rubens, J., Mumm, J., et al. (2021) · Neuro-Oncology · doi:10.1093/neuonc/noaa263 · Cited by 29
Metadata
- Authors
- Yan, C., Brunson, D. C., Tang, Q., Do, D., Iftimia, N. A., Moore, J. C., Hayes, M. N., Welker, A. M., Garcia, E. G., Dubash, T. D., Hong, X., Drapkin, B. J., Myers, D. T., Phat, S., Volorio, A., Marvin, D. L., Ligorio, M., Dershowitz, L., McCarthy, K. M., Karabacak, M. N., Fletcher, J. A., Sgroi, D. C., Iafrate, J. A., Maheswaran, S., Dyson, N. J., Haber, D. A., Rawls, J. F., & Langenau, D. M.
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2019-06
- Volume
- 177
- Issue
- 7
- Pages
- 1903-1914.e14
- ISSN
- 0092-8674 (ISSN-L)
- OpenAlex
- W2942289486
- Cited by
- 245
- References
- 6
- FWCI
- 16.18
- 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: Visualizing Engrafted Human Cancer and Therapy Responses in Immunodeficient Zebrafish. https://app.cochat.ai/papers/10.1016/j.cell.2019.04.004
- The paper
- Yan, C., Brunson, D. C., Tang, Q., Do, D., Iftimia, N. A., Moore, J. C., Hayes, M. N., Welker, A. M., Garcia, E. G., Dubash, T. D., Hong, X., Drapkin, B. J., Myers, D. T., Phat, S., Volorio, A., Marvin, D. L., Ligorio, M., Dershowitz, L., McCarthy, K. M., . . . Langenau, D. M. (2019). Visualizing Engrafted Human Cancer and Therapy Responses in Immunodeficient Zebrafish. Cell. https://doi.org/10.1016/j.cell.2019.04.004
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.
