Single-cell RNA-seq reveals that glioblastoma recapitulates a normal neurodevelopmental hierarchy

Cancer stem cells are critical for cancer initiation, development, and treatment resistance. Our understanding of these processes, and how they relate to glioblastoma heterogeneity, is limited. To overcome these limitations, we performed single-cell RNA sequencing on 53586 adult glioblastoma cells a...

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Vydáno v:	Nature communications Ročník 11; číslo 1; s. 3406 - 19
Hlavní autoři:	Couturier, Charles P., Ayyadhury, Shamini, Le, Phuong U., Nadaf, Javad, Monlong, Jean, Riva, Gabriele, Allache, Redouane, Baig, Salma, Yan, Xiaohua, Bourgey, Mathieu, Lee, Changseok, Wang, Yu Chang David, Wee Yong, V., Guiot, Marie-Christine, Najafabadi, Hamed, Misic, Bratislav, Antel, Jack, Bourque, Guillaume, Ragoussis, Jiannis, Petrecca, Kevin
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	London Nature Publishing Group UK 08.07.2020 Nature Publishing Group Nature Portfolio
Témata:	13/100 13/106 13/31 13/51 14/19 14/5 38/91 59/5 631/67/1922 631/67/2329 631/67/71 64/60 Adult Animals Antineoplastic Agents, Alkylating - pharmacology Brain Brain - embryology Brain - metabolism Brain cancer Brain Neoplasms - genetics Brain Neoplasms - pathology Brain Neoplasms - therapy Cancer Cell Survival - drug effects Cell Survival - genetics Cells, Cultured Female Fetus Fetuses Gene expression Gene sequencing Glial stem cells Glioblastoma Glioblastoma - genetics Glioblastoma - pathology Glioblastoma - therapy Glioblastoma cells Heterogeneity Humanities and Social Sciences Humans Life Sciences Mice, Inbred NOD Mice, SCID multidisciplinary Neoplastic Stem Cells - drug effects Neoplastic Stem Cells - metabolism Neural stem cells Neuronal-glial interactions Progenitor cells Ribonucleic acid RNA Science Science (multidisciplinary) Sequence Analysis, RNA - methods Single-Cell Analysis - methods Stem cells Target recognition Temozolomide - pharmacology Therapeutic applications Transcriptome - genetics Treatment resistance Xenograft Model Antitumor Assays - methods
ISSN:	2041-1723, 2041-1723
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