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

AI Article Synopsis

  • The Bioinformatics Resource Manager (BRM) is a web-based tool designed for converting and integrating data identifiers across multiple species, specifically humans, mice, rats, zebrafish, and macaques, while also facilitating miRNA-target analysis.
  • BRM allows users to perform cross-species identifier lookups, integrate datasets seamlessly, and query miRNA targets, helping to identify common biomarkers related to exposure from substances like benzo[a]pyrene (BAP) in experiments involving human lung cells and zebrafish.
  • The tool is user-friendly for biologists with minimal programming experience, enabling them to analyze and visualize omics data effectively without extensive coding knowledge.

Article Abstract

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/ .

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6525352PMC
http://dx.doi.org/10.1186/s12859-019-2805-6DOI Listing

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