Resolving medulloblastoma cellular architecture by single-cell genomics
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nihms-1532632.pdf
Description
Accepted version
Size
5.94 MB
Format
Adobe PDF
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Author(s)
Hovestadt, Volker
Smith, Kyle S.
Bihannic, Laure
Filbin, Mariella G.
Shaw, McKenzie L.
Baumgartner, Alicia
DeWitt, John C.
Groves, Andrew
Mayr, Lisa
Weisman, Hannah R.
Date Issued
July 2019
Journal
Nature
Publisher
Springer Science and Business Media
Citation
Hovestadt, Volker et al. "Resolving medulloblastoma cellular architecture by single-cell genomics." Nature 572, 7767 (July 2019): 74–79 © 2019 The Author(s)
Version
Author's final manuscript
Abstract
Medulloblastoma is a malignant childhood cerebellar tumour type that comprises distinct molecular subgroups. Whereas genomic characteristics of these subgroups are well defined, the extent to which cellular diversity underlies their divergent biology and clinical behaviour remains largely unexplored. Here we used single-cell transcriptomics to investigate intra- and intertumoral heterogeneity in 25 medulloblastomas spanning all molecular subgroups. WNT, SHH and Group 3 tumours comprised subgroup-specific undifferentiated and differentiated neuronal-like malignant populations, whereas Group 4 tumours consisted exclusively of differentiated neuronal-like neoplastic cells. SHH tumours closely resembled granule neurons of varying differentiation states that correlated with patient age. Group 3 and Group 4 tumours exhibited a developmental trajectory from primitive progenitor-like to more mature neuronal-like cells, the relative proportions of which distinguished these subgroups. Cross-species transcriptomics defined distinct glutamatergic populations as putative cells-of-origin for SHH and Group 4 subtypes. Collectively, these data provide insights into the cellular and developmental states underlying subtype-specific medulloblastoma biology.
MIT Department
Broad Institute of MIT and Harvard
Massachusetts Institute of Technology. Department of Biology
Koch Institute for Integrative Cancer Research at MIT
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Creative Commons Attribution-Noncommercial-Share Alike
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DOI of Published Version
https://doi.org/10.1038/s41586-019-1434-6
