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High-resolution structural genomics reveals new therapeutic vulnerabilities in glioblastoma.

Authors :
Johnston MJ
Nikolic A
Ninkovic N
Guilhamon P
Cavalli FMG
Seaman S
Zemp FJ
Lee J
Abdelkareem A
Ellestad K
Murison A
Kushida MM
Coutinho FJ
Ma Y
Mungall AJ
Moore R
Marra MA
Taylor MD
Dirks PB
Pugh TJ
Morrissy S
St Croix B
Mahoney DJ
Lupien M
Gallo M
Source :
Genome research [Genome Res] 2019 Aug; Vol. 29 (8), pp. 1211-1222. Date of Electronic Publication: 2019 Jun 27.
Publication Year :
2019

Abstract

We investigated the role of 3D genome architecture in instructing functional properties of glioblastoma stem cells (GSCs) by generating sub-5-kb resolution 3D genome maps by in situ Hi-C. Contact maps at sub-5-kb resolution allow identification of individual DNA loops, domain organization, and large-scale genome compartmentalization. We observed differences in looping architectures among GSCs from different patients, suggesting that 3D genome architecture is a further layer of inter-patient heterogeneity for glioblastoma. Integration of DNA contact maps with chromatin and transcriptional profiles identified specific mechanisms of gene regulation, including the convergence of multiple super enhancers to individual stemness genes within individual cells. We show that the number of loops contacting a gene correlates with elevated transcription. These results indicate that stemness genes are hubs of interaction between multiple regulatory regions, likely to ensure their sustained expression. Regions of open chromatin common among the GSCs tested were poised for expression of immune-related genes, including CD276 We demonstrate that this gene is co-expressed with stemness genes in GSCs and that CD276 can be targeted with an antibody-drug conjugate to eliminate self-renewing cells. Our results demonstrate that integrated structural genomics data sets can be employed to rationally identify therapeutic vulnerabilities in self-renewing cells.<br /> (© 2019 Johnston et al.; Published by Cold Spring Harbor Laboratory Press.)

Details

Language :
English
ISSN :
1549-5469
Volume :
29
Issue :
8
Database :
MEDLINE
Journal :
Genome research
Publication Type :
Academic Journal
Accession number :
31249064
Full Text :
https://doi.org/10.1101/gr.246520.118