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Pieter Mestdagh, University Ghent, OH 14, E23

Event Date: May 19, 2016 16:15


Reprocessing and analysis of high-throughput data to identify novel therapeutic non-coding targets in cancer

Genome-wide studies have shown that our genome is pervasively transcribed, producing a complex pool of coding and non-coding transcripts that shape the cancer transcriptome. Long non-coding RNAs or lncRNAs dominate the non-coding transcriptome and are emerging as key regulatory factors in human disease and development. Through re-analysis of RNA-sequencing data from 10000 cancer patients across 33 cancer types (The Cancer Genome Atlas), we define a PAN-cancer lncRNA landscape, revealing insights in cancer-specific lncRNAs with therapeutic and diagnostic potential.



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