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miRNAmotif—A Tool for the Prediction of Pre-miRNA–Protein Interactions
MicroRNAs (miRNAs) are short, non-coding post-transcriptional gene regulators. In mammalian cells, mature miRNAs are produced from primary precursors (pri-miRNAs) using canonical protein machinery, which includes Drosha/DGCR8 and Dicer, or the non-canonical mirtron pathway. In plant cells, mature mi...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6321451/ https://www.ncbi.nlm.nih.gov/pubmed/30562930 http://dx.doi.org/10.3390/ijms19124075 |
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author | Urbanek-Trzeciak, Martyna O. Jaworska, Edyta Krzyzosiak, Wlodzimierz J. |
author_facet | Urbanek-Trzeciak, Martyna O. Jaworska, Edyta Krzyzosiak, Wlodzimierz J. |
author_sort | Urbanek-Trzeciak, Martyna O. |
collection | PubMed |
description | MicroRNAs (miRNAs) are short, non-coding post-transcriptional gene regulators. In mammalian cells, mature miRNAs are produced from primary precursors (pri-miRNAs) using canonical protein machinery, which includes Drosha/DGCR8 and Dicer, or the non-canonical mirtron pathway. In plant cells, mature miRNAs are excised from pri-miRNAs by the DICER-LIKE1 (DCL1) protein complex. The involvement of multiple regulatory proteins that bind directly to distinct miRNA precursors in a sequence- or structure-dependent manner adds to the complexity of the miRNA maturation process. Here, we present a web server that enables searches for miRNA precursors that can be recognized by diverse RNA-binding proteins based on known sequence motifs to facilitate the identification of other proteins involved in miRNA biogenesis. The database used by the web server contains known human, murine, and Arabidopsis thaliana pre-miRNAs. The web server can also be used to predict new RNA-binding protein motifs based on a list of user-provided sequences. We show examples of miRNAmotif applications, presenting precursors that contain motifs recognized by Lin28, MCPIP1, and DGCR8 and predicting motifs within pre-miRNA precursors that are recognized by two DEAD-box helicases—DDX1 and DDX17. miRNAmotif is released as an open-source software under the MIT License. The code is available at GitHub (www.github.com/martynaut/mirnamotif). The webserver is freely available at http://mirnamotif.ibch.poznan.pl. |
format | Online Article Text |
id | pubmed-6321451 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-63214512019-01-07 miRNAmotif—A Tool for the Prediction of Pre-miRNA–Protein Interactions Urbanek-Trzeciak, Martyna O. Jaworska, Edyta Krzyzosiak, Wlodzimierz J. Int J Mol Sci Article MicroRNAs (miRNAs) are short, non-coding post-transcriptional gene regulators. In mammalian cells, mature miRNAs are produced from primary precursors (pri-miRNAs) using canonical protein machinery, which includes Drosha/DGCR8 and Dicer, or the non-canonical mirtron pathway. In plant cells, mature miRNAs are excised from pri-miRNAs by the DICER-LIKE1 (DCL1) protein complex. The involvement of multiple regulatory proteins that bind directly to distinct miRNA precursors in a sequence- or structure-dependent manner adds to the complexity of the miRNA maturation process. Here, we present a web server that enables searches for miRNA precursors that can be recognized by diverse RNA-binding proteins based on known sequence motifs to facilitate the identification of other proteins involved in miRNA biogenesis. The database used by the web server contains known human, murine, and Arabidopsis thaliana pre-miRNAs. The web server can also be used to predict new RNA-binding protein motifs based on a list of user-provided sequences. We show examples of miRNAmotif applications, presenting precursors that contain motifs recognized by Lin28, MCPIP1, and DGCR8 and predicting motifs within pre-miRNA precursors that are recognized by two DEAD-box helicases—DDX1 and DDX17. miRNAmotif is released as an open-source software under the MIT License. The code is available at GitHub (www.github.com/martynaut/mirnamotif). The webserver is freely available at http://mirnamotif.ibch.poznan.pl. MDPI 2018-12-17 /pmc/articles/PMC6321451/ /pubmed/30562930 http://dx.doi.org/10.3390/ijms19124075 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Urbanek-Trzeciak, Martyna O. Jaworska, Edyta Krzyzosiak, Wlodzimierz J. miRNAmotif—A Tool for the Prediction of Pre-miRNA–Protein Interactions |
title | miRNAmotif—A Tool for the Prediction of Pre-miRNA–Protein Interactions |
title_full | miRNAmotif—A Tool for the Prediction of Pre-miRNA–Protein Interactions |
title_fullStr | miRNAmotif—A Tool for the Prediction of Pre-miRNA–Protein Interactions |
title_full_unstemmed | miRNAmotif—A Tool for the Prediction of Pre-miRNA–Protein Interactions |
title_short | miRNAmotif—A Tool for the Prediction of Pre-miRNA–Protein Interactions |
title_sort | mirnamotif—a tool for the prediction of pre-mirna–protein interactions |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6321451/ https://www.ncbi.nlm.nih.gov/pubmed/30562930 http://dx.doi.org/10.3390/ijms19124075 |
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