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Bioinformatics Resource Manager: a systems biology web tool for microRNA and omics data integration

BACKGROUND: The Bioinformatics Resource Manager (BRM) is a web-based tool developed to facilitate identifier conversion and data integration for Homo sapiens (human), Mus musculus (mouse), Rattus norvegicus (rat), Danio rerio (zebrafish), and Macaca mulatta (macaque), as well as perform orthologous...

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Autores principales: Brown, Joseph, Phillips, Aaron R., Lewis, David A., Mans, Michael-Andres, Chang, Yvonne, Tanguay, Robert L., Peterson, Elena S., Waters, Katrina M., Tilton, Susan C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6525352/
https://www.ncbi.nlm.nih.gov/pubmed/31101000
http://dx.doi.org/10.1186/s12859-019-2805-6
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author Brown, Joseph
Phillips, Aaron R.
Lewis, David A.
Mans, Michael-Andres
Chang, Yvonne
Tanguay, Robert L.
Peterson, Elena S.
Waters, Katrina M.
Tilton, Susan C.
author_facet Brown, Joseph
Phillips, Aaron R.
Lewis, David A.
Mans, Michael-Andres
Chang, Yvonne
Tanguay, Robert L.
Peterson, Elena S.
Waters, Katrina M.
Tilton, Susan C.
author_sort Brown, Joseph
collection PubMed
description BACKGROUND: The Bioinformatics Resource Manager (BRM) is a web-based tool developed to facilitate identifier conversion and data integration for Homo sapiens (human), Mus musculus (mouse), Rattus norvegicus (rat), Danio rerio (zebrafish), and Macaca mulatta (macaque), as well as perform orthologous conversions among the supported species. In addition to providing a robust means of identifier conversion, BRM also incorporates a suite of microRNA (miRNA)-target databases upon which to query target genes or to perform reverse target lookups using gene identifiers. RESULTS: BRM has the capability to perform cross-species identifier lookups across common identifier types, directly integrate datasets across platform or species by performing identifier retrievals in the background, and retrieve miRNA targets from multiple databases simultaneously and integrate the resulting gene targets with experimental mRNA data. Here we use workflows provided in BRM to integrate RNA sequencing data across species to identify common biomarkers of exposure after treatment of human lung cells and zebrafish to benzo[a]pyrene (BAP). We further use the miRNA Target workflow to experimentally determine the role of miRNAs as regulators of BAP toxicity and identify the predicted functional consequences of miRNA-target regulation in our system. The output from BRM can easily and directly be uploaded to freely available visualization tools for further analysis. From these examples, we were able to identify an important role for several miRNAs as potential regulators of BAP toxicity in human lung cells associated with cell migration, cell communication, cell junction assembly and regulation of cell death. CONCLUSIONS: Overall, BRM provides bioinformatics tools to assist biologists having minimal programming skills with analysis and integration of high-content omics’ data from various transcriptomic and proteomic platforms. BRM workflows were developed in Java and other open-source technologies and are served publicly using Apache Tomcat at https://cbb.pnnl.gov/brm/. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12859-019-2805-6) contains supplementary material, which is available to authorized users.
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spelling pubmed-65253522019-05-24 Bioinformatics Resource Manager: a systems biology web tool for microRNA and omics data integration Brown, Joseph Phillips, Aaron R. Lewis, David A. Mans, Michael-Andres Chang, Yvonne Tanguay, Robert L. Peterson, Elena S. Waters, Katrina M. Tilton, Susan C. BMC Bioinformatics Database BACKGROUND: The Bioinformatics Resource Manager (BRM) is a web-based tool developed to facilitate identifier conversion and data integration for Homo sapiens (human), Mus musculus (mouse), Rattus norvegicus (rat), Danio rerio (zebrafish), and Macaca mulatta (macaque), as well as perform orthologous conversions among the supported species. In addition to providing a robust means of identifier conversion, BRM also incorporates a suite of microRNA (miRNA)-target databases upon which to query target genes or to perform reverse target lookups using gene identifiers. RESULTS: BRM has the capability to perform cross-species identifier lookups across common identifier types, directly integrate datasets across platform or species by performing identifier retrievals in the background, and retrieve miRNA targets from multiple databases simultaneously and integrate the resulting gene targets with experimental mRNA data. Here we use workflows provided in BRM to integrate RNA sequencing data across species to identify common biomarkers of exposure after treatment of human lung cells and zebrafish to benzo[a]pyrene (BAP). We further use the miRNA Target workflow to experimentally determine the role of miRNAs as regulators of BAP toxicity and identify the predicted functional consequences of miRNA-target regulation in our system. The output from BRM can easily and directly be uploaded to freely available visualization tools for further analysis. From these examples, we were able to identify an important role for several miRNAs as potential regulators of BAP toxicity in human lung cells associated with cell migration, cell communication, cell junction assembly and regulation of cell death. CONCLUSIONS: Overall, BRM provides bioinformatics tools to assist biologists having minimal programming skills with analysis and integration of high-content omics’ data from various transcriptomic and proteomic platforms. BRM workflows were developed in Java and other open-source technologies and are served publicly using Apache Tomcat at https://cbb.pnnl.gov/brm/. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12859-019-2805-6) contains supplementary material, which is available to authorized users. BioMed Central 2019-05-17 /pmc/articles/PMC6525352/ /pubmed/31101000 http://dx.doi.org/10.1186/s12859-019-2805-6 Text en © The Author(s). 2019 Open AccessThis 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 Database
Brown, Joseph
Phillips, Aaron R.
Lewis, David A.
Mans, Michael-Andres
Chang, Yvonne
Tanguay, Robert L.
Peterson, Elena S.
Waters, Katrina M.
Tilton, Susan C.
Bioinformatics Resource Manager: a systems biology web tool for microRNA and omics data integration
title Bioinformatics Resource Manager: a systems biology web tool for microRNA and omics data integration
title_full Bioinformatics Resource Manager: a systems biology web tool for microRNA and omics data integration
title_fullStr Bioinformatics Resource Manager: a systems biology web tool for microRNA and omics data integration
title_full_unstemmed Bioinformatics Resource Manager: a systems biology web tool for microRNA and omics data integration
title_short Bioinformatics Resource Manager: a systems biology web tool for microRNA and omics data integration
title_sort bioinformatics resource manager: a systems biology web tool for microrna and omics data integration
topic Database
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6525352/
https://www.ncbi.nlm.nih.gov/pubmed/31101000
http://dx.doi.org/10.1186/s12859-019-2805-6
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