A global transcriptional network connecting noncoding mutations to changes in tumor gene expression

Although cancer genomes are replete with noncoding mutations, the effects of these mutations remain poorly characterized. Here we perform an integrative analysis of 930 tumor whole genomes and matched transcriptomes, identifying a network of 193 noncoding loci in which mutations disrupt target gene...

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Detalles Bibliográficos
Autores principales: Zhang, Wei, Bojorquez-Gomez, Ana, Velez, Daniel Ortiz, Xu, Guorong, Sanchez, Kyle S., Shen, John Paul, Chen, Kevin, Licon, Katherine, Melton, Collin, Olson, Katrina M., Yu, Michael Ku, Huang, Justin K., Carter, Hannah, Farley, Emma K., Snyder, Michael, Fraley, Stephanie I., Kreisberg, Jason F., Ideker, Trey
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5893414/
https://www.ncbi.nlm.nih.gov/pubmed/29610481
http://dx.doi.org/10.1038/s41588-018-0091-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5893414/
https://www.ncbi.nlm.nih.gov/pubmed/29610481
http://dx.doi.org/10.1038/s41588-018-0091-2

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