Visualizing Engrafted Human Cancer and Therapy Responses in Immunodeficient Zebrafish.

Clicks: 335
ID: 4226
2019
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #26 of 72 articles by views in Cell

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
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 lacks adaptive and natural killer immune cells, can engraft a wide array of human cancers at 37°C, and permits 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.
Reference Key
yan2019visualizingcell Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Yan, Chuan;Brunson, Dalton C;Tang, Qin;Do, Daniel;Iftimia, Nicolae A;Moore, John C;Hayes, Madeline N;Welker, Alessandra M;Garcia, Elaine G;Dubash, Taronish D;Hong, Xin;Drapkin, Benjamin J;Myers, David T;Phat, Sarah;Volorio, Angela;Marvin, Dieuwke L;Ligorio, Matteo;Dershowitz, Lyle;McCarthy, Karin M;Karabacak, Murat N;Fletcher, Jonathan A;Sgroi, Dennis C;Iafrate, John A;Maheswaran, Shyamala;Dyson, Nick J;Haber, Daniel A;Rawls, John F;Langenau, David M;
Journal Cell
Year 2019
DOI
S0092-8674(19)30390-3
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.