A highly efficient and faithful MDS patient-derived xenotransplantation model for pre-clinical studies

Yuanbin Song, Anthony Rongvaux, Ashley Taylor, Tingting Jiang, Toma Tebaldi, Kunthavai Balasubramanian, Arun Bagale, Yunus Kasım Terzi, Rana Gbyli, Xiaman Wang, Xiaoying Fu, Yimeng Gao, Jun Zhao, Nikolai Podoltsev, Mina Xu, Natalia Neparidze, Ellice Wong, Richard Torres, Emanuela M. Bruscia, Yuval KlugerMarkus G. Manz, Richard A. Flavell, Stephanie Halene

Research output: Contribution to journalArticle

12 Citations (Scopus)
Original languageEnglish
Pages (from-to)366,379
Number of pages14
JournalNat Communucations
Volume10
Issue number1
DOIs
Publication statusPublished - 2019

Cite this

Song, Y., Rongvaux, A., Taylor, A., Jiang, T., Tebaldi, T., Balasubramanian, K., Bagale, A., Terzi, Y. K., Gbyli, R., Wang, X., Fu, X., Gao, Y., Zhao, J., Podoltsev, N., Xu, M., Neparidze, N., Wong, E., Torres, R., Bruscia, E. M., ... Halene, S. (2019). A highly efficient and faithful MDS patient-derived xenotransplantation model for pre-clinical studies. Nat Communucations, 10(1), 366,379. https://doi.org/10.1038/s41467-018-08166-x