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PIANO: A Web Server for Pseudouridine-Site (Ψ) Identification and Functional Annotation

Known as the “fifth RNA nucleotide”, pseudouridine (Ψ or psi) is the first-discovered and most abundant RNA modification occurring at the Uridine site, and it plays a prominent role in a number of biological processes. Thousands of Ψ sites have been identified within different biological contexts th...

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Autores principales: Song, Bowen, Tang, Yujiao, Wei, Zhen, Liu, Gang, Su, Jionglong, Meng, Jia, Chen, Kunqi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7080813/
https://www.ncbi.nlm.nih.gov/pubmed/32226440
http://dx.doi.org/10.3389/fgene.2020.00088
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author Song, Bowen
Tang, Yujiao
Wei, Zhen
Liu, Gang
Su, Jionglong
Meng, Jia
Chen, Kunqi
author_facet Song, Bowen
Tang, Yujiao
Wei, Zhen
Liu, Gang
Su, Jionglong
Meng, Jia
Chen, Kunqi
author_sort Song, Bowen
collection PubMed
description Known as the “fifth RNA nucleotide”, pseudouridine (Ψ or psi) is the first-discovered and most abundant RNA modification occurring at the Uridine site, and it plays a prominent role in a number of biological processes. Thousands of Ψ sites have been identified within different biological contexts thanks to the advancement in high-throughput sequencing technology; nevertheless, the transcriptome-wide distribution, biomolecular functions, regulatory mechanisms, and disease relevance of pseudouridylation are largely elusive. We report here a web server—PIANO—for pseudouridine site (Ψ) identification and functional annotation. PIANO was built upon a high-accuracy predictor that takes advantage of both conventional sequence features and 42 additional genomic features. When tested on six independent datasets generated from four independent Ψ-profiling technologies (Ψ-seq, RBS-seq, Pseudo-seq, and CeU-seq) as benchmarks, PIANO achieved an average AUC of 0.955 and 0.838 under the full transcript and mature mRNA models, respectively, marking a substantial improvement in accuracy compared to the existing in silico Ψ-site prediction methods, i.e., PPUS (0.713 and 0.707), iRNA-PseU (0.713 and 0.712), and PseUI (0.634 and 0.652). Besides, PIANO web server systematically annotates the predicted Ψ sites with post-transcriptional regulatory mechanisms (miRNA-targets, RBP-binding regions, and splicing sites) in its prediction report to help the users explore potential machinery of Ψ. Moreover, a concise query interface was also built for 4,303 known Ψ sites, which is currently the largest collection of experimentally validated human Ψ sites. The PIANO website is freely accessible at: http://piano.rnamd.com.
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spelling pubmed-70808132020-03-27 PIANO: A Web Server for Pseudouridine-Site (Ψ) Identification and Functional Annotation Song, Bowen Tang, Yujiao Wei, Zhen Liu, Gang Su, Jionglong Meng, Jia Chen, Kunqi Front Genet Genetics Known as the “fifth RNA nucleotide”, pseudouridine (Ψ or psi) is the first-discovered and most abundant RNA modification occurring at the Uridine site, and it plays a prominent role in a number of biological processes. Thousands of Ψ sites have been identified within different biological contexts thanks to the advancement in high-throughput sequencing technology; nevertheless, the transcriptome-wide distribution, biomolecular functions, regulatory mechanisms, and disease relevance of pseudouridylation are largely elusive. We report here a web server—PIANO—for pseudouridine site (Ψ) identification and functional annotation. PIANO was built upon a high-accuracy predictor that takes advantage of both conventional sequence features and 42 additional genomic features. When tested on six independent datasets generated from four independent Ψ-profiling technologies (Ψ-seq, RBS-seq, Pseudo-seq, and CeU-seq) as benchmarks, PIANO achieved an average AUC of 0.955 and 0.838 under the full transcript and mature mRNA models, respectively, marking a substantial improvement in accuracy compared to the existing in silico Ψ-site prediction methods, i.e., PPUS (0.713 and 0.707), iRNA-PseU (0.713 and 0.712), and PseUI (0.634 and 0.652). Besides, PIANO web server systematically annotates the predicted Ψ sites with post-transcriptional regulatory mechanisms (miRNA-targets, RBP-binding regions, and splicing sites) in its prediction report to help the users explore potential machinery of Ψ. Moreover, a concise query interface was also built for 4,303 known Ψ sites, which is currently the largest collection of experimentally validated human Ψ sites. The PIANO website is freely accessible at: http://piano.rnamd.com. Frontiers Media S.A. 2020-03-12 /pmc/articles/PMC7080813/ /pubmed/32226440 http://dx.doi.org/10.3389/fgene.2020.00088 Text en Copyright © 2020 Song, Tang, Wei, Liu, Su, Meng and Chen http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Song, Bowen
Tang, Yujiao
Wei, Zhen
Liu, Gang
Su, Jionglong
Meng, Jia
Chen, Kunqi
PIANO: A Web Server for Pseudouridine-Site (Ψ) Identification and Functional Annotation
title PIANO: A Web Server for Pseudouridine-Site (Ψ) Identification and Functional Annotation
title_full PIANO: A Web Server for Pseudouridine-Site (Ψ) Identification and Functional Annotation
title_fullStr PIANO: A Web Server for Pseudouridine-Site (Ψ) Identification and Functional Annotation
title_full_unstemmed PIANO: A Web Server for Pseudouridine-Site (Ψ) Identification and Functional Annotation
title_short PIANO: A Web Server for Pseudouridine-Site (Ψ) Identification and Functional Annotation
title_sort piano: a web server for pseudouridine-site (ψ) identification and functional annotation
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7080813/
https://www.ncbi.nlm.nih.gov/pubmed/32226440
http://dx.doi.org/10.3389/fgene.2020.00088
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