A reference collection of patient-derived cell line and xenograft models of proneural, classical and mesenchymal glioblastoma View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Brett W. Stringer, Bryan W. Day, Rochelle C. J. D’Souza, Paul R. Jamieson, Kathleen S. Ensbey, Zara C. Bruce, Yi Chieh Lim, Kate Goasdoué, Carolin Offenhäuser, Seçkin Akgül, Suzanne Allan, Thomas Robertson, Peter Lucas, Gert Tollesson, Scott Campbell, Craig Winter, Hongdo Do, Alexander Dobrovic, Po-Ling Inglis, Rosalind L. Jeffree, Terrance G. Johns, Andrew W. Boyd

ABSTRACT

Low-passage, serum-free cell lines cultured from patient tumour tissue are the gold-standard for preclinical studies and cellular investigations of glioblastoma (GBM) biology, yet entrenched, poorly-representative cell line models are still widely used, compromising the significance of much GBM research. We submit that greater adoption of these critical resources will be promoted by the provision of a suitably-sized, meaningfully-described reference collection along with appropriate tools for working with them. Consequently, we present a curated panel of 12 readily-usable, genetically-diverse, tumourigenic, patient-derived, low-passage, serum-free cell lines representing the spectrum of molecular subtypes of IDH-wildtype GBM along with their detailed phenotypic characterisation plus a bespoke set of lentiviral plasmids for bioluminescent/fluorescent labelling, gene expression and CRISPR/Cas9-mediated gene inactivation. The cell lines and all accompanying data are readily-accessible via a single website, Q-Cell (qimrberghofer.edu.au/q-cell/) and all plasmids are available from Addgene. These resources should prove valuable to investigators seeking readily-usable, well-characterised, clinically-relevant, gold-standard models of GBM. More... »

PAGES

4902

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  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/s41598-019-41277-z

    DOI

    http://dx.doi.org/10.1038/s41598-019-41277-z

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1112873711

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/30894629


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