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Computational identification of specific genes for glioblastoma stem-like cells identity

11 May 2018

Abstract excerpt

Glioblastoma, the most malignant brain cancer, contains self-renewing, stem-like cells that sustain tumor growth and therapeutic resistance. Identifying genes promoting stem-like cell differentiation might unveil targets for novel treatments. To detect them, here we apply SWIM - a software able to unveil genes (named switch genes) involved in drastic changes of cell phenotype - to public datasets of gene...

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PMID: 29773872
DOI: 10.1038/s41598-018-26081-5

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