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Status |
Public on Jul 02, 2018 |
Title |
Single-Cell Transcriptome Analysis of Lineage Diversity and Microenvironment in High-Grade Glioma |
Organism |
Homo sapiens |
Experiment type |
Expression profiling by high throughput sequencing
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Summary |
Despite extensive molecular characterization, we lack a comprehensive picture of lineage identity, differentiation, and microenvironmental composition in high-grade gliomas (HGGs). We sampled the cellular milieu of HGGs with massively-parallel single-cell RNA-Seq. While HGG cells can resemble glia or even immature neurons and form branched lineage structures, mesenchymal transformation results in unstructured populations. Glioma cells in a subset of mesenchymal tumors lose their neural lineage identity, express inflammatory genes, and co-exist with marked myeloid infiltration, implying a molecular interaction between glioma and immune cells. Finally, we found that myeloid cells can resemble microglia, macrophages, or a hybrid state, and enrichment of these cells is predictive of poor survival.
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Overall design |
Performed single cell RNA-seq on tens of thousands of dissociated high-grade glioma tissue cells from 8 human patients.
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Contributor(s) |
Yuan J, Sims PA, Levitin HM |
Citation(s) |
30041684 |
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Submission date |
Aug 29, 2017 |
Last update date |
Jul 25, 2021 |
Contact name |
Peter Sims |
Organization name |
Columbia University
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Street address |
3960 Broadway, 2nd Floor, Room 203AC
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City |
New York |
State/province |
NY |
ZIP/Postal code |
10032 |
Country |
USA |
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Platforms (1) |
GPL18573 |
Illumina NextSeq 500 (Homo sapiens) |
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Samples (8)
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Relations |
BioProject |
PRJNA400576 |
SRA |
SRP116382 |
Supplementary file |
Size |
Download |
File type/resource |
GSE103224_RAW.tar |
52.5 Mb |
(http)(custom) |
TAR (of TXT) |
GSE103224_README.txt |
371 b |
(ftp)(http) |
TXT |
SRA Run Selector |
Raw data are available in SRA |
Processed data provided as supplementary file |
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