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Identifying sequence features that drive ribosomal association for lncRNA

BACKGROUND: With the increasing number of annotated long noncoding RNAs (lncRNAs) from the genome, researchers are continually updating their understanding of lncRNAs. Recently, thousands of lncRNAs have been reported to be associated with ribosomes in mammals. However, their biological functions or...

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Detalles Bibliográficos
Autores principales: Zeng, Chao, Hamada, Michiaki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6311901/
https://www.ncbi.nlm.nih.gov/pubmed/30598103
http://dx.doi.org/10.1186/s12864-018-5275-8
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author Zeng, Chao
Hamada, Michiaki
author_facet Zeng, Chao
Hamada, Michiaki
author_sort Zeng, Chao
collection PubMed
description BACKGROUND: With the increasing number of annotated long noncoding RNAs (lncRNAs) from the genome, researchers are continually updating their understanding of lncRNAs. Recently, thousands of lncRNAs have been reported to be associated with ribosomes in mammals. However, their biological functions or mechanisms are still unclear. RESULTS: In this study, we tried to investigate the sequence features involved in the ribosomal association of lncRNA. We have extracted ninety-nine sequence features corresponding to different biological mechanisms (i.e., RNA splicing, putative ORF, k-mer frequency, RNA modification, RNA secondary structure, and repeat element). An [Formula: see text] -regularized logistic regression model was applied to screen these features. Finally, we obtained fifteen and nine important features for the ribosomal association of human and mouse lncRNAs, respectively. CONCLUSION: To our knowledge, this is the first study to characterize ribosome-associated lncRNAs and ribosome-free lncRNAs from the perspective of sequence features. These sequence features that were identified in this study may shed light on the biological mechanism of the ribosomal association and provide important clues for functional analysis of lncRNAs. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-018-5275-8) contains supplementary material, which is available to authorized users.
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spelling pubmed-63119012019-01-07 Identifying sequence features that drive ribosomal association for lncRNA Zeng, Chao Hamada, Michiaki BMC Genomics Research BACKGROUND: With the increasing number of annotated long noncoding RNAs (lncRNAs) from the genome, researchers are continually updating their understanding of lncRNAs. Recently, thousands of lncRNAs have been reported to be associated with ribosomes in mammals. However, their biological functions or mechanisms are still unclear. RESULTS: In this study, we tried to investigate the sequence features involved in the ribosomal association of lncRNA. We have extracted ninety-nine sequence features corresponding to different biological mechanisms (i.e., RNA splicing, putative ORF, k-mer frequency, RNA modification, RNA secondary structure, and repeat element). An [Formula: see text] -regularized logistic regression model was applied to screen these features. Finally, we obtained fifteen and nine important features for the ribosomal association of human and mouse lncRNAs, respectively. CONCLUSION: To our knowledge, this is the first study to characterize ribosome-associated lncRNAs and ribosome-free lncRNAs from the perspective of sequence features. These sequence features that were identified in this study may shed light on the biological mechanism of the ribosomal association and provide important clues for functional analysis of lncRNAs. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-018-5275-8) contains supplementary material, which is available to authorized users. BioMed Central 2018-12-31 /pmc/articles/PMC6311901/ /pubmed/30598103 http://dx.doi.org/10.1186/s12864-018-5275-8 Text en © The Author(s) 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Zeng, Chao
Hamada, Michiaki
Identifying sequence features that drive ribosomal association for lncRNA
title Identifying sequence features that drive ribosomal association for lncRNA
title_full Identifying sequence features that drive ribosomal association for lncRNA
title_fullStr Identifying sequence features that drive ribosomal association for lncRNA
title_full_unstemmed Identifying sequence features that drive ribosomal association for lncRNA
title_short Identifying sequence features that drive ribosomal association for lncRNA
title_sort identifying sequence features that drive ribosomal association for lncrna
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6311901/
https://www.ncbi.nlm.nih.gov/pubmed/30598103
http://dx.doi.org/10.1186/s12864-018-5275-8
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