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Chromatin run-on reveals the transcriptional etiology of glioblastoma multiforme

Tinyi Chu, Edward J Rice, Gregory T Booth, Hans H Salamanca, Zhong Wang, Leighton J Core, Sharon L Longo, Robert J Corona, Lawrence S Chin, John T Lis, Hojoong Kwak, Charles Danko
doi: https://doi.org/10.1101/185991
Tinyi Chu
Cornell University;
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Edward J Rice
Cornell University;
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Gregory T Booth
Cornell University;
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Hans H Salamanca
SUNY Upstate Medical University;
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Zhong Wang
Cornell University;
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Leighton J Core
University of Connecticut
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Sharon L Longo
SUNY Upstate Medical University;
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Robert J Corona
SUNY Upstate Medical University;
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Lawrence S Chin
SUNY Upstate Medical University;
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John T Lis
Cornell University;
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Hojoong Kwak
Cornell University;
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Charles Danko
Cornell University;
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  • For correspondence: dankoc@gmail.com
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Abstract

The human genome encodes a variety of poorly understood RNA species that remain challenging to identify using existing genomic tools. We developed chromatin run-on and sequencing (ChRO-seq) to map the location of RNA polymerase using virtually any input sample, including samples with degraded RNA that are intractable to conventional RNA-seq. We used ChRO-seq to develop the first maps of nascent transcription in primary human glioblastoma (GBM) brain tumors. Whereas enhancers discovered in primary GBMs resemble open chromatin in the normal human brain, rare enhancers activated in malignant tissue drive regulatory programs similar to the developing nervous system. We identified enhancers that regulate genes characteristic of each known GBM subtype, identified transcription factors that drive them, and discovered a core group of transcription factors that control the expression of genes associated with clinical outcomes. This study uncovers new insights into the molecular etiology of GBM and introduces ChRO-seq which can now be used to map regulatory programs contributing to a variety of complex diseases.

Footnotes

  • Added an extensive analysis of transcription factors associated with heterogeneity between GBMs. This analysis discovered three transcription factors driving groups of genes associated with poor clinical outcomes.

Copyright 
The copyright holder for this preprint is the author/funder. It is made available under a CC-BY 4.0 International license.
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  • Posted May 14, 2018.

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Chromatin run-on reveals the transcriptional etiology of glioblastoma multiforme
Tinyi Chu, Edward J Rice, Gregory T Booth, Hans H Salamanca, Zhong Wang, Leighton J Core, Sharon L Longo, Robert J Corona, Lawrence S Chin, John T Lis, Hojoong Kwak, Charles Danko
bioRxiv 185991; doi: https://doi.org/10.1101/185991
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Chromatin run-on reveals the transcriptional etiology of glioblastoma multiforme
Tinyi Chu, Edward J Rice, Gregory T Booth, Hans H Salamanca, Zhong Wang, Leighton J Core, Sharon L Longo, Robert J Corona, Lawrence S Chin, John T Lis, Hojoong Kwak, Charles Danko
bioRxiv 185991; doi: https://doi.org/10.1101/185991

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