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PlantAPA: A Portal for Visualization and Analysis of Alternative Polyadenylation in Plants

Alternative polyadenylation (APA) is an important layer of gene regulation that produces mRNAs that have different 3′ ends and/or encode diverse protein isoforms. Up to 70% of annotated genes in plants undergo APA. Increasing numbers of poly(A) sites collected in various plant species demand new met...

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Autores principales: Wu, Xiaohui, Zhang, Yumin, Li, Qingshun Q.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4914594/
https://www.ncbi.nlm.nih.gov/pubmed/27446120
http://dx.doi.org/10.3389/fpls.2016.00889
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author Wu, Xiaohui
Zhang, Yumin
Li, Qingshun Q.
author_facet Wu, Xiaohui
Zhang, Yumin
Li, Qingshun Q.
author_sort Wu, Xiaohui
collection PubMed
description Alternative polyadenylation (APA) is an important layer of gene regulation that produces mRNAs that have different 3′ ends and/or encode diverse protein isoforms. Up to 70% of annotated genes in plants undergo APA. Increasing numbers of poly(A) sites collected in various plant species demand new methods and tools to access and mine these data. We have created an open-access web service called PlantAPA (http://bmi.xmu.edu.cn/plantapa) to visualize and analyze genome-wide poly(A) sites in plants. PlantAPA provides various interactive and dynamic graphics and seamlessly integrates a genome browser that can profile heterogeneous cleavage sites and quantify expression patterns of poly(A) sites across different conditions. Particularly, through PlantAPA, users can analyze poly(A) sites in extended 3′ UTR regions, intergenic regions, and ambiguous regions owing to alternative transcription or RNA processing. In addition, it also provides tools for analyzing poly(A) site selections, 3′ UTR lengthening or shortening, non-canonical APA site switching, and differential gene expression between conditions, making it more powerful for the study of APA-mediated gene expression regulation. More importantly, PlantAPA offers a bioinformatics pipeline that allows users to upload their own short reads or ESTs for poly(A) site extraction, enabling users to further explore poly(A) site selection using stored PlantAPA poly(A) sites together with their own poly(A) site datasets. To date, PlantAPA hosts the largest database of APA sites in plants, including Oryza sativa, Arabidopsis thaliana, Medicago truncatula, and Chlamydomonas reinhardtii. As a user-friendly web service, PlantAPA will be a valuable addition to the community of biologists studying APA mechanisms and gene expression regulation in plants.
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spelling pubmed-49145942016-07-21 PlantAPA: A Portal for Visualization and Analysis of Alternative Polyadenylation in Plants Wu, Xiaohui Zhang, Yumin Li, Qingshun Q. Front Plant Sci Plant Science Alternative polyadenylation (APA) is an important layer of gene regulation that produces mRNAs that have different 3′ ends and/or encode diverse protein isoforms. Up to 70% of annotated genes in plants undergo APA. Increasing numbers of poly(A) sites collected in various plant species demand new methods and tools to access and mine these data. We have created an open-access web service called PlantAPA (http://bmi.xmu.edu.cn/plantapa) to visualize and analyze genome-wide poly(A) sites in plants. PlantAPA provides various interactive and dynamic graphics and seamlessly integrates a genome browser that can profile heterogeneous cleavage sites and quantify expression patterns of poly(A) sites across different conditions. Particularly, through PlantAPA, users can analyze poly(A) sites in extended 3′ UTR regions, intergenic regions, and ambiguous regions owing to alternative transcription or RNA processing. In addition, it also provides tools for analyzing poly(A) site selections, 3′ UTR lengthening or shortening, non-canonical APA site switching, and differential gene expression between conditions, making it more powerful for the study of APA-mediated gene expression regulation. More importantly, PlantAPA offers a bioinformatics pipeline that allows users to upload their own short reads or ESTs for poly(A) site extraction, enabling users to further explore poly(A) site selection using stored PlantAPA poly(A) sites together with their own poly(A) site datasets. To date, PlantAPA hosts the largest database of APA sites in plants, including Oryza sativa, Arabidopsis thaliana, Medicago truncatula, and Chlamydomonas reinhardtii. As a user-friendly web service, PlantAPA will be a valuable addition to the community of biologists studying APA mechanisms and gene expression regulation in plants. Frontiers Media S.A. 2016-06-21 /pmc/articles/PMC4914594/ /pubmed/27446120 http://dx.doi.org/10.3389/fpls.2016.00889 Text en Copyright © 2016 Wu, Zhang and Li. 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) or licensor 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 Plant Science
Wu, Xiaohui
Zhang, Yumin
Li, Qingshun Q.
PlantAPA: A Portal for Visualization and Analysis of Alternative Polyadenylation in Plants
title PlantAPA: A Portal for Visualization and Analysis of Alternative Polyadenylation in Plants
title_full PlantAPA: A Portal for Visualization and Analysis of Alternative Polyadenylation in Plants
title_fullStr PlantAPA: A Portal for Visualization and Analysis of Alternative Polyadenylation in Plants
title_full_unstemmed PlantAPA: A Portal for Visualization and Analysis of Alternative Polyadenylation in Plants
title_short PlantAPA: A Portal for Visualization and Analysis of Alternative Polyadenylation in Plants
title_sort plantapa: a portal for visualization and analysis of alternative polyadenylation in plants
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4914594/
https://www.ncbi.nlm.nih.gov/pubmed/27446120
http://dx.doi.org/10.3389/fpls.2016.00889
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