ArticleFrontiers in cell and developmental biology2021
Exploring Evidence of Non-coding RNA Translation With Trips-Viz and GWIPS-Viz Browsers.
Article in Frontiers in cell and developmental biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 11 citations in OpenAlex.
- 5PSeq Explorer: interactive analysis of co-translational mRNA decay and ribosome dynamics.RNA biology · 2026Article
- Pharmaceutical perspectives on oligonucleotide therapeutics and delivery systems.Pharmacological reviews · 2025Review
- Discovery of diverse chimeric peptides in a eukaryotic proteome sets the stage for experimental validation of the mosaic translation hypothesis.Computational and structural biotechnology journal · 2025Article
- A review of Ribosome profiling and tools used in Ribo-seq data analysis.Computational and structural biotechnology journal · 2024Review
- Multi-Omics Mining of lncRNAs with Biological and Clinical Relevance in Cancer.International journal of molecular sciences · 2023Review
- Article
- Translation and natural selection of micropeptides from long non-canonical RNAs.Nature communications · 2022Article
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Authors and funding
4 authors at 1 institution in 2 countries.
Funding
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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
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