Single-Cell RNA-Seq Analysis of Infiltrating Neoplastic Cells at the Migrating Front of Human Glioblastoma
By S. Darmanis, S. Sloan, Derek Croote, Marco Mignardi, S. Chernikova, Peyman Samghababi, Ye Zhang, N. Neff, M. Kowarsky, Christine Caneda and 7 more. bioRxiv, 2017
877 citations recorded by the source corpus.
Glioblastoma is the most common primary brain cancer in adults and is notoriously difficult to treat due to its diffuse nature. We performed single-cell RNAseq on 3589 cells in a cohort of four patients. We obtained cells from the tumor core as well as surrounding peripheral tissue. Our analysis revealed cellular variation in the tumor’s genome and transcriptome, We were able to identify infiltrating neoplastic cells in regions peripheral to the core lesions. Despite the existence of significant heterogeneity among neoplastic cells, we found that infiltrating GBM cells share a consistent gene signature between patients, suggesting a common mechanism of infiltration. Additionally, in investigating the immunological response to the tumors, we found transcriptionally distinct myeloid cell populations residing in the tumor core and the surrounding peritumoral space. Our data provide a detailed dissection of GBM cell types, revealing an abundance of novel information about tumor formation and migration.
View Paper: https://www.semanticscholar.org/paper/7cda2abbbd7b4bd3f4b00f6e709c653e2f4711ef
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Citations in the corpus
- An integrative model of cellular states, plasticity and genetics for glioblastoma (2019, unknown): “, 2017), they have proven more challenging in glioblastoma (Darmanis et al., 2017; Müller et al., 2016; Patel et al., 2014; Wang et al., 2017; Yuan et al., 2018).”
- A Patient-Derived Glioblastoma Organoid Model and Biobank Recapitulates Inter- and Intra-tumoral Heterogeneity. (2019, methodology): “Expression of genes associated with microglia or macrophages (Darmanis et al., 2017) was calculated using the AddModuleScore function in Seurat with bin size set to 10.”