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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...

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Autores principales: Takenaka, Mizuki, Zehrmann, Anja, Brennicke, Axel, Graichen, Knut
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
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.
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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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