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Improved Computational Target Site Prediction for Pentatricopeptide Repeat RNA Editing Factors
Pentatricopeptide repeat (PPR) proteins with an E domain have been identified as specific factors for C to U RNA editing in plant organelles. These PPR proteins bind to a unique sequence motif 5′ of their target editing sites. Recently, involvement of a combinatorial amino acid code in the P (normal...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3675099/ https://www.ncbi.nlm.nih.gov/pubmed/23762347 http://dx.doi.org/10.1371/journal.pone.0065343 |
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author | Takenaka, Mizuki Zehrmann, Anja Brennicke, Axel Graichen, Knut |
author_facet | Takenaka, Mizuki Zehrmann, Anja Brennicke, Axel Graichen, Knut |
author_sort | Takenaka, Mizuki |
collection | PubMed |
description | Pentatricopeptide repeat (PPR) proteins with an E domain have been identified as specific factors for C to U RNA editing in plant organelles. These PPR proteins bind to a unique sequence motif 5′ of their target editing sites. Recently, involvement of a combinatorial amino acid code in the P (normal length) and S type (short) PPR domains in sequence specific RNA binding was reported. PPR proteins involved in RNA editing, however, contain not only P and S motifs but also their long variants L (long) and L2 (long2) and the S2 (short2) motifs. We now find that inclusion of these motifs improves the prediction of RNA editing target sites. Previously overlooked RNA editing target sites are suggested from the PPR motif structures of known E-class PPR proteins and are experimentally verified. RNA editing target sites are assigned for the novel PPR protein MEF32 (mitochondrial editing factor 32) and are confirmed in the cDNA. |
format | Online Article Text |
id | pubmed-3675099 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-36750992013-06-12 Improved Computational Target Site Prediction for Pentatricopeptide Repeat RNA Editing Factors Takenaka, Mizuki Zehrmann, Anja Brennicke, Axel Graichen, Knut PLoS One Research Article Pentatricopeptide repeat (PPR) proteins with an E domain have been identified as specific factors for C to U RNA editing in plant organelles. These PPR proteins bind to a unique sequence motif 5′ of their target editing sites. Recently, involvement of a combinatorial amino acid code in the P (normal length) and S type (short) PPR domains in sequence specific RNA binding was reported. PPR proteins involved in RNA editing, however, contain not only P and S motifs but also their long variants L (long) and L2 (long2) and the S2 (short2) motifs. We now find that inclusion of these motifs improves the prediction of RNA editing target sites. Previously overlooked RNA editing target sites are suggested from the PPR motif structures of known E-class PPR proteins and are experimentally verified. RNA editing target sites are assigned for the novel PPR protein MEF32 (mitochondrial editing factor 32) and are confirmed in the cDNA. Public Library of Science 2013-06-06 /pmc/articles/PMC3675099/ /pubmed/23762347 http://dx.doi.org/10.1371/journal.pone.0065343 Text en © 2013 Takenaka et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Takenaka, Mizuki Zehrmann, Anja Brennicke, Axel Graichen, Knut Improved Computational Target Site Prediction for Pentatricopeptide Repeat RNA Editing Factors |
title | Improved Computational Target Site Prediction for Pentatricopeptide Repeat RNA Editing Factors |
title_full | Improved Computational Target Site Prediction for Pentatricopeptide Repeat RNA Editing Factors |
title_fullStr | Improved Computational Target Site Prediction for Pentatricopeptide Repeat RNA Editing Factors |
title_full_unstemmed | Improved Computational Target Site Prediction for Pentatricopeptide Repeat RNA Editing Factors |
title_short | Improved Computational Target Site Prediction for Pentatricopeptide Repeat RNA Editing Factors |
title_sort | improved computational target site prediction for pentatricopeptide repeat rna editing factors |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3675099/ https://www.ncbi.nlm.nih.gov/pubmed/23762347 http://dx.doi.org/10.1371/journal.pone.0065343 |
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