tRFUniverse: A comprehensive resource for the interactive analyses of tRNA-derived ncRNAs in human cancer

tRNA-derived ncRNAs are a heterogeneous class of non-coding RNAs recently proposed to be active regulators of gene expression and be involved in many diseases, including cancer. Consequently, several online resources on tRNA-derived ncRNAs have been released. Although interesting, such resources pre...

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Veröffentlicht in:iScience 2024-02, Vol.27 (2), p.108810-108810, Article 108810
Hauptverfasser: La Ferlita, Alessandro, Alaimo, Salvatore, Nigita, Giovanni, Distefano, Rosario, Beane, Joal D., Tsichlis, Philip N., Ferro, Alfredo, Croce, Carlo M., Pulvirenti, Alfredo
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Sprache:eng
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Zusammenfassung:tRNA-derived ncRNAs are a heterogeneous class of non-coding RNAs recently proposed to be active regulators of gene expression and be involved in many diseases, including cancer. Consequently, several online resources on tRNA-derived ncRNAs have been released. Although interesting, such resources present only basic features and do not adequately exploit the wealth of knowledge available about tRNA-derived ncRNAs. Therefore, we introduce tRFUniverse, a novel online resource for the analysis of tRNA-derived ncRNAs in human cancer. tRFUniverse presents an extensive collection of classes of tRNA-derived ncRNAs analyzed across all the TCGA and TARGET tumor cohorts, NCI-60 cell lines, and biological fluids. Moreover, public AGO CLASH/CLIP-Seq data were analyzed to identify the molecular interactions between tRNA-derived ncRNAs and other transcripts. Importantly, tRFUniverse combines in a single resource a comprehensive set of features that we believe may be helpful to investigate the involvement of tRNA-derived ncRNAs in cancer biology. [Display omitted] •TRNA-derived ncRNAs are active regulators of gene expression involved in cancer•TRFUniverse is a novel online app for analyzing tRNA-derived ncRNAs in cancer•Analyses available in TCGA/TARGET cohorts, NCI60 cell lines, and biological fluids•Targets of tRNA-derived ncRNAs identified in public AGO CLASH/CLIP-Seq data Nucleic acids; Bioinformatics; Cancer; Transcriptomics
ISSN:2589-0042
2589-0042
DOI:10.1016/j.isci.2024.108810