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anamiR: integrated analysis of MicroRNA and gene expression profiling

BACKGROUND: With advancements in high-throughput technologies, the cost of obtaining expression profiles of both mRNA and microRNA in the same individual has substantially decreased. Integrated analysis of these profiles can help to elucidate the functional effects of RNA expression in complex disea...

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Autores principales: Wang, Ti-Tai, Lee, Chien-Yueh, Lai, Liang-Chuan, Tsai, Mong-Hsun, Lu, Tzu-Pin, Chuang, Eric Y.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6518761/
https://www.ncbi.nlm.nih.gov/pubmed/31088348
http://dx.doi.org/10.1186/s12859-019-2870-x
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author Wang, Ti-Tai
Lee, Chien-Yueh
Lai, Liang-Chuan
Tsai, Mong-Hsun
Lu, Tzu-Pin
Chuang, Eric Y.
author_facet Wang, Ti-Tai
Lee, Chien-Yueh
Lai, Liang-Chuan
Tsai, Mong-Hsun
Lu, Tzu-Pin
Chuang, Eric Y.
author_sort Wang, Ti-Tai
collection PubMed
description BACKGROUND: With advancements in high-throughput technologies, the cost of obtaining expression profiles of both mRNA and microRNA in the same individual has substantially decreased. Integrated analysis of these profiles can help to elucidate the functional effects of RNA expression in complex diseases, such as cancer. However, fundamental discrepancies are observed in the results from microRNA-mRNA target gene prediction algorithms, and few packages can be used to analyze microRNA and mRNA expression levels simultaneously. RESULTS: To address these issues, an R package, anamiR, was developed. A total of 10 experimental/prediction databases were integrated. Two analytical functions are provided in anamiR, including the single marker test and functional gene set enrichment analysis, and several parameters can be changed by users. Here we demonstrate the potential application of the anamiR package to 2 publicly available microarray datasets. CONCLUSION: The anamiR package is effective for an integrated analysis of both RNA and microRNA profiles. By characterizing biological functions and signaling pathways, this package helps identify dysregulated genes/miRNAs from biological and medical experiments. The source code and manual of the anamiR package are freely available at https://bioconductor.org/packages/release/bioc/html/anamiR.html. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12859-019-2870-x) contains supplementary material, which is available to authorized users.
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spelling pubmed-65187612019-05-21 anamiR: integrated analysis of MicroRNA and gene expression profiling Wang, Ti-Tai Lee, Chien-Yueh Lai, Liang-Chuan Tsai, Mong-Hsun Lu, Tzu-Pin Chuang, Eric Y. BMC Bioinformatics Software BACKGROUND: With advancements in high-throughput technologies, the cost of obtaining expression profiles of both mRNA and microRNA in the same individual has substantially decreased. Integrated analysis of these profiles can help to elucidate the functional effects of RNA expression in complex diseases, such as cancer. However, fundamental discrepancies are observed in the results from microRNA-mRNA target gene prediction algorithms, and few packages can be used to analyze microRNA and mRNA expression levels simultaneously. RESULTS: To address these issues, an R package, anamiR, was developed. A total of 10 experimental/prediction databases were integrated. Two analytical functions are provided in anamiR, including the single marker test and functional gene set enrichment analysis, and several parameters can be changed by users. Here we demonstrate the potential application of the anamiR package to 2 publicly available microarray datasets. CONCLUSION: The anamiR package is effective for an integrated analysis of both RNA and microRNA profiles. By characterizing biological functions and signaling pathways, this package helps identify dysregulated genes/miRNAs from biological and medical experiments. The source code and manual of the anamiR package are freely available at https://bioconductor.org/packages/release/bioc/html/anamiR.html. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12859-019-2870-x) contains supplementary material, which is available to authorized users. BioMed Central 2019-05-14 /pmc/articles/PMC6518761/ /pubmed/31088348 http://dx.doi.org/10.1186/s12859-019-2870-x Text en © The Author(s). 2019 Open Access This 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 Software
Wang, Ti-Tai
Lee, Chien-Yueh
Lai, Liang-Chuan
Tsai, Mong-Hsun
Lu, Tzu-Pin
Chuang, Eric Y.
anamiR: integrated analysis of MicroRNA and gene expression profiling
title anamiR: integrated analysis of MicroRNA and gene expression profiling
title_full anamiR: integrated analysis of MicroRNA and gene expression profiling
title_fullStr anamiR: integrated analysis of MicroRNA and gene expression profiling
title_full_unstemmed anamiR: integrated analysis of MicroRNA and gene expression profiling
title_short anamiR: integrated analysis of MicroRNA and gene expression profiling
title_sort anamir: integrated analysis of microrna and gene expression profiling
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6518761/
https://www.ncbi.nlm.nih.gov/pubmed/31088348
http://dx.doi.org/10.1186/s12859-019-2870-x
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