The Human Glioblastoma Cell Culture Resource: Validated Cell Models Representing All Molecular Subtypes

被引:225
作者
Xie, Yuan [1 ]
Bergstrom, Tobias [1 ]
Jiang, Yiwen [1 ]
Johansson, Patrik [1 ]
Marinescu, Voichita Dana [1 ]
Lindberg, Nanna [2 ]
Segerman, Anna [1 ]
Wicher, Grzegorz [1 ]
Niklasson, Mia [1 ]
Baskaran, Sathishkumar [1 ]
Sreedharan, Smitha [1 ]
Everlien, Isabelle [1 ]
Kastemar, Marianne [1 ]
Hermansson, Annika [1 ]
Elfineh, Lioudmila [1 ]
Libard, Sylwia [1 ]
Holland, Eric Charles [2 ]
Hesselager, Goran [3 ]
Alafuzoff, Irina [1 ]
Westermark, Bengt [1 ]
Nelander, Sven [1 ]
Forsberg-Nilsson, Karin [1 ]
Uhrbom, Lene [1 ]
机构
[1] Uppsala Univ, Rudbeck Lab, Dept Immunol Genet & Pathol, Sci Life Lab, S-75185 Uppsala, Sweden
[2] Fred Hutchinson Canc Res Ctr, Seattle, WA 98109 USA
[3] Uppsala Univ, Univ Uppsala Hosp, Dept Neurosci, SE-75185 Uppsala, Sweden
关键词
Glioblastoma; Cell culture; Stem cell culture condition; Molecular subtype; Xenograft models; STEM-CELLS; GLIAL TUMORS; BRAIN; IDENTIFICATION; EXPRESSION; LINES; HETEROGENEITY; PROGRESSION; SENSITIVITY; MARKERS;
D O I
10.1016/j.ebiom.2015.08.026
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Glioblastoma (GBM) is the most frequent and malignant form of primary brain tumor. GBM is essentially incurable and its resistance to therapy is attributed to a subpopulation of cells called gliomastem cells (GSCs). To meet the present shortage of relevant GBM cell (GC) lines we developed a library of annotated and validated cell lines derived from surgical samples of GBM patients, maintained under conditions to preserve GSC characteristics. This collection, which we call the Human Glioblastoma Cell Culture (HGCC) resource, consists of a biobank of 48 GC lines and an associated database containing high-resolution molecular data. We demonstrate that the HGCC lines are tumorigenic, harbor genomic lesions characteristic of GBMs, and represent all four transcriptional sub-types. The HGCC panel provides an open resource for in vitro and in vivo modeling of a large part of GBM diversity useful to both basic and translational GBM research. (C) 2015 The Authors. Published by Elsevier B.V.
引用
收藏
页码:1351 / 1363
页数:13
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