Exploring evidence of non-coding RNA translation with Trips-Viz and GWIPS-Viz browsers
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Published Version
Supplementary Material
Date
2021-08
Authors
Zaheed, Oza
Kiniry, Stephen J.
Baranov, Pavel V.
Dean, Kellie
Journal Title
Journal ISSN
Volume Title
Publisher
Frontiers Media S.A.
Published Version
Abstract
Detection of translation in so-called non-coding RNA provides an opportunity for identification of novel bioactive peptides and microproteins. The main methods used for these purposes are ribosome profiling and mass spectrometry. A number of publicly available datasets already exist for a substantial number of different cell types grown under various conditions, and public data mining is an attractive strategy for identification of translation in non-coding RNAs. Since the analysis of publicly available data requires intensive data processing, several data resources have been created recently for exploring processed publicly available data, such as OpenProt, GWIPS-viz, and Trips-Viz. In this work we provide a detailed demonstration of how to use the latter two tools for exploring experimental evidence for translation of RNAs hitherto classified as non-coding. For this purpose, we use a set of transcripts with substantially different patterns of ribosome footprint distributions. We discuss how certain features of these patterns can be used as evidence for or against genuine translation. During our analysis we concluded that the MTLN mRNA, previously misannotated as lncRNA LINC000116, likely encodes only a short proteoform expressed from shorter RNA transcript variants.
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Keywords
Ribosome profiling reveals , Human genome , Gene , Identification , Microprotein , Mitoregulin , Mechanisms , Complexity , Initiation , Insights
Citation
Zaheed, O., Kiniry, S. J., Baranov, P. V. and Dean, Kellie (2021) 'Exploring evidence of non-coding RNA translation with Trips-Viz and GWIPS-Viz browsers', Frontiers In Cell And Developmental Biology, 9, 703374, (17pp). doi: 10.3389/fcell.2021.703374