Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Hugo J G Snippert"'
Autor:
Yannik Bollen, Joris H Hageman, Petra van Leenen, Lucca L M Derks, Bas Ponsioen, Julian R Buissant des Amorie, Ingrid Verlaan-Klink, Myrna van den Bos, Leon W M M Terstappen, Ruben van Boxtel, Hugo J G Snippert
Publikováno v:
PLoS Biology, Vol 20, Iss 1, p e3001527 (2022)
CRISPR-associated nucleases are powerful tools for precise genome editing of model systems, including human organoids. Current methods describing fluorescent gene tagging in organoids rely on the generation of DNA double-strand breaks (DSBs) to stimu
Externí odkaz:
https://doaj.org/article/cd66eca306e549c4a4b1983de5881ebb
Autor:
Christina, Stangl, Jasmin B, Post, Markus J, van Roosmalen, Nizar, Hami, Ingrid, Verlaan-Klink, Harmjan R, Vos, Robert M, van Es, Marco J, Koudijs, Emile E, Voest, Hugo J G, Snippert, W P, Kloosterman
Publikováno v:
Molecular cancer research : MCR. 18(4)
Fusion genes can be oncogenic drivers in a variety of cancer types and represent potential targets for targeted therapy. The
Autor:
Johanna F, Dekkers, Maria, Alieva, Lianne M, Wellens, Hendrikus C R, Ariese, Paul R, Jamieson, Annelotte M, Vonk, Gimano D, Amatngalim, Huili, Hu, Koen C, Oost, Hugo J G, Snippert, Jeffrey M, Beekman, Ellen J, Wehrens, Jane E, Visvader, Hans, Clevers, Anne C, Rios
Publikováno v:
Nature protocols. 14(6)
In vitro 3D organoid systems have revolutionized the modeling of organ development and diseases in a dish. Fluorescence microscopy has contributed to the characterization of the cellular composition of organoids and demonstrated organoids' phenotypic
Autor:
Erik van Dijk, Tom van den Bosch, Kristiaan J. Lenos, Khalid El Makrini, Lisanne E. Nijman, Hendrik F. B. van Essen, Nico Lansu, Michiel Boekhout, Joris H. Hageman, Rebecca C. Fitzgerald, Cornelis J. A. Punt, Jurriaan B. Tuynman, Hugo J. G. Snippert, Geert J. P. L. Kops, Jan Paul Medema, Bauke Ylstra, Louis Vermeulen, Daniël M. Miedema
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-12 (2021)
Intratumour heterogeneity (ITH) is associated with worse prognosis in cancer, and efficient frameworks to measure it are needed. Here the authors develop a method to estimate copy number heterogeneity, and propose that it is driven by chromosomal ins
Externí odkaz:
https://doaj.org/article/264d1331d97845559b189b69b84d9dcb