TY - JOUR
T1 - Q-Cell Glioblastoma Resource
T2 - Proteomics Analysis Reveals Unique Cell-States are Maintained in 3D Culture
AU - D'Souza, Rochelle C.J.
AU - Offenhäuser, Carolin
AU - Straube, Jasmin
AU - Baumgartner, Ulrich
AU - Kordowski, Anja
AU - Li, Yuchen
AU - Stringer, Brett W.
AU - Alexander, Hamish
AU - Lwin, Zarnie
AU - Inglis, Po Ling
AU - Jeffree, Rosalind L.
AU - Johns, Terrance G.
AU - Boyd, Andrew W.
AU - Day, Bryan W.
PY - 2020/2
Y1 - 2020/2
N2 - Glioblastoma (GBM) is a treatment-refractory central nervous system (CNS) tumour, and better therapies to treat this aggressive disease are urgently needed. Primary GBM models that represent the true disease state are essential to better understand disease biology and for accurate preclinical therapy assessment. We have previously presented a comprehensive transcriptome characterisation of a panel (n = 12) of primary GBM models (Q-Cell). We have now generated a systematic, quantitative, and deep proteome abundance atlas of the Q-Cell models grown in 3D culture, representing 6167 human proteins. A recent study has highlighted the degree of functional heterogeneity that coexists within individual GBM tumours, describing four cellular states (MES-like, NPC-like, OPC-like and AC-like). We performed comparative proteomic analysis, confirming a good representation of each of the four cell-states across the 13 models examined. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis identified upregulation of a number of GBM-associated cancer pathway proteins. Bioinformatics analysis, using the OncoKB database, identified a number of functional actionable targets that were either uniquely or ubiquitously expressed across the panel. This study provides an in-depth proteomic analysis of the GBM Q-Cell resource, which should prove a valuable functional dataset for future biological and preclinical investigations.
AB - Glioblastoma (GBM) is a treatment-refractory central nervous system (CNS) tumour, and better therapies to treat this aggressive disease are urgently needed. Primary GBM models that represent the true disease state are essential to better understand disease biology and for accurate preclinical therapy assessment. We have previously presented a comprehensive transcriptome characterisation of a panel (n = 12) of primary GBM models (Q-Cell). We have now generated a systematic, quantitative, and deep proteome abundance atlas of the Q-Cell models grown in 3D culture, representing 6167 human proteins. A recent study has highlighted the degree of functional heterogeneity that coexists within individual GBM tumours, describing four cellular states (MES-like, NPC-like, OPC-like and AC-like). We performed comparative proteomic analysis, confirming a good representation of each of the four cell-states across the 13 models examined. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis identified upregulation of a number of GBM-associated cancer pathway proteins. Bioinformatics analysis, using the OncoKB database, identified a number of functional actionable targets that were either uniquely or ubiquitously expressed across the panel. This study provides an in-depth proteomic analysis of the GBM Q-Cell resource, which should prove a valuable functional dataset for future biological and preclinical investigations.
KW - GBM cell-states
KW - glioblastoma (GBM)
KW - proteomics
KW - recurrence
KW - therapeutic targets
KW - tumour heterogeneity
UR - http://www.scopus.com/inward/record.url?scp=85081759004&partnerID=8YFLogxK
U2 - 10.3390/cells9020267
DO - 10.3390/cells9020267
M3 - Article
C2 - 31973233
AN - SCOPUS:85081759004
SN - 2073-4409
VL - 9
JO - Cells
JF - Cells
IS - 2
M1 - 267
ER -