Title |
Developmental and oncogenic programs in H3K27M gliomas dissected by single-cell RNA-seq
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Published in |
Science, April 2018
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DOI | 10.1126/science.aao4750 |
Pubmed ID | |
Authors |
Mariella G Filbin, Itay Tirosh, Volker Hovestadt, McKenzie L Shaw, Leah E Escalante, Nathan D Mathewson, Cyril Neftel, Nelli Frank, Kristine Pelton, Christine M Hebert, Christine Haberler, Keren Yizhak, Johannes Gojo, Kristof Egervari, Christopher Mount, Peter van Galen, Dennis M Bonal, Quang-De Nguyen, Alexander Beck, Claire Sinai, Thomas Czech, Christian Dorfer, Liliana Goumnerova, Cinzia Lavarino, Angel M Carcaboso, Jaume Mora, Ravindra Mylvaganam, Christina C Luo, Andreas Peyrl, Mara Popović, Amedeo Azizi, Tracy T Batchelor, Matthew P Frosch, Maria Martinez-Lage, Mark W Kieran, Pratiti Bandopadhayay, Rameen Beroukhim, Gerhard Fritsch, Gad Getz, Orit Rozenblatt-Rosen, Kai W Wucherpfennig, David N Louis, Michelle Monje, Irene Slavc, Keith L Ligon, Todd R Golub, Aviv Regev, Bradley E Bernstein, Mario L Suvà |
Abstract |
Gliomas with histone H3 lysine27-to-methionine mutations (H3K27M-glioma) arise primarily in the midline of the central nervous system of young children, suggesting a cooperation between genetics and cellular context in tumorigenesis. Although the genetics of H3K27M-glioma are well characterized, their cellular architecture remains uncharted. We performed single-cell RNA sequencing in 3321 cells from six primary H3K27M-glioma and matched models. We found that H3K27M-glioma primarily contain cells that resemble oligodendrocyte precursor cells (OPC-like), whereas more differentiated malignant cells are a minority. OPC-like cells exhibit greater proliferation and tumor-propagating potential than their more differentiated counterparts and are at least in part sustained by PDGFRA signaling. Our study characterizes oncogenic and developmental programs in H3K27M-glioma at single-cell resolution and across genetic subclones, suggesting potential therapeutic targets in this disease. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 36 | 38% |
Canada | 4 | 4% |
Australia | 4 | 4% |
United Kingdom | 4 | 4% |
Mexico | 3 | 3% |
France | 3 | 3% |
Austria | 3 | 3% |
Sweden | 2 | 2% |
Spain | 2 | 2% |
Other | 11 | 11% |
Unknown | 24 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 58 | 60% |
Scientists | 31 | 32% |
Practitioners (doctors, other healthcare professionals) | 4 | 4% |
Science communicators (journalists, bloggers, editors) | 3 | 3% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 752 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 145 | 19% |
Researcher | 133 | 18% |
Student > Bachelor | 67 | 9% |
Student > Master | 59 | 8% |
Student > Doctoral Student | 38 | 5% |
Other | 109 | 14% |
Unknown | 201 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 227 | 30% |
Agricultural and Biological Sciences | 100 | 13% |
Medicine and Dentistry | 62 | 8% |
Neuroscience | 44 | 6% |
Immunology and Microbiology | 22 | 3% |
Other | 66 | 9% |
Unknown | 231 | 31% |