Recounting the FANTOM Cage Associated Transcriptome
Eddie Luidy Imada,
Diego Fernando Sanchez,
Francisco Pereira Lobo,
Michiel Jan Laurens de Hoon,
Jay W Shin,
Andrew E Jaffe,
Jeffrey T. Leek,
Gloria Regina Franco,
Posted 04 Jun 2019
bioRxiv DOI: 10.1101/659490 (published DOI: 10.1101/gr.254656.119)
Posted 04 Jun 2019
Long non-coding RNAs (lncRNAs) have emerged as key coordinators of biological and cellular processes. Characterizing lncRNA expression across cells and tissues is key to understanding their role in determining phenotypes including human diseases. We present here FC-R2, a comprehensive expression atlas across a broadly-defined human transcriptome, inclusive of over 109,000 coding and non-coding genes, as described in the FANTOM CAGE-Associated Transcriptome (FANTOM-CAT) study. This atlas greatly extends the gene annotation used in the original recount2 resource. We demonstrate the utility of the FC-R2 atlas by reproducing key findings from published large studies and by generating new results across normal and diseased human samples. In particular, we (a) identify tissue specific transcription profiles for distinct classes of coding and non-coding genes, (b) perform differential expression analyses across thirteen cancer types, providing new insights linking promoter and enhancer lncRNAs expression to tumor pathogenesis, and (c) confirm the prognostic value of several enhancers in cancer. Comprised of over 70,000 samples, the FC-R2 atlas will empower other researchers to investigate functions and biological roles of both known coding genes and novel lncRNAs. Most importantly, access to the FC-R2 atlas is available from <https://jhubiostatistics.shinyapps.io/recount/>, the recount Bioconductor package, and <http://marchionnilab.org/fcr2.html>.
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