Single-cell RNA-seq highlights intratumoral heterogeneity in primary glioblastoma
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...In principle, this approach may identify all major cellular components simultaneously, determine their individual genomic and molecular states (15), and ascertain which of these features may predict or explain clinical responses to anticancer agents....
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...First, we inferred large-scale copy number variations (CNVs) from expression profiles by averaging expression over 100-gene stretches on their respective chromosomes (15) (Fig....
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...2A, green dots), mirroring findings in glioblastoma (15)....
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...The average number of mapped reads per cell was ~150,000 (17), with a median library complexity of 4,659 genes for malignant cells and 3,438 genes for immune cells, comparable to previous studies of only malignant cells from fresh glioblastoma tumors (15)....
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"Single-cell RNA-seq highlights intr..." refers background in this paper
...Glioblastoma is an archetypal example of a heterogeneous cancer and one of the most lethal human malignancies (9, 10)....
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"Single-cell RNA-seq highlights intr..." refers background in this paper
...spherogenic cultures that potently initiate tumors in mice (15, 27)....
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