In:
Science, American Association for the Advancement of Science (AAAS), Vol. 344, No. 6190 ( 2014-06-20), p. 1396-1401
Kurzfassung:
Human cancers are complex ecosystems composed of cells with distinct phenotypes, genotypes, and epigenetic states, but current models do not adequately reflect tumor composition in patients. We used single-cell RNA sequencing (RNA-seq) to profile 430 cells from five primary glioblastomas, which we found to be inherently variable in their expression of diverse transcriptional programs related to oncogenic signaling, proliferation, complement/immune response, and hypoxia. We also observed a continuum of stemness-related expression states that enabled us to identify putative regulators of stemness in vivo. Finally, we show that established glioblastoma subtype classifiers are variably expressed across individual cells within a tumor and demonstrate the potential prognostic implications of such intratumoral heterogeneity. Thus, we reveal previously unappreciated heterogeneity in diverse regulatory programs central to glioblastoma biology, prognosis, and therapy.
Materialart:
Online-Ressource
ISSN:
0036-8075
,
1095-9203
DOI:
10.1126/science.1254257
Sprache:
Englisch
Verlag:
American Association for the Advancement of Science (AAAS)
Publikationsdatum:
2014
ZDB Id:
128410-1
ZDB Id:
2066996-3
ZDB Id:
2060783-0
SSG:
11
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