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Bioinformatics Analysis of Estrogen-Responsive Genes
Estrogen is a steroid hormone that plays critical roles in a myriad of intracellular pathways. The expression of many genes is regulated through the steroid hormone receptors ESR1 and ESR2. These bind to DNA and modulate the expression of target genes. Identification of estrogen target genes is grea...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer New York
2015
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5065092/ https://www.ncbi.nlm.nih.gov/pubmed/26585125 http://dx.doi.org/10.1007/978-1-4939-3127-9_4 |
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author | Handel, Adam E. |
author_facet | Handel, Adam E. |
author_sort | Handel, Adam E. |
collection | PubMed |
description | Estrogen is a steroid hormone that plays critical roles in a myriad of intracellular pathways. The expression of many genes is regulated through the steroid hormone receptors ESR1 and ESR2. These bind to DNA and modulate the expression of target genes. Identification of estrogen target genes is greatly facilitated by the use of transcriptomic methods, such as RNA-seq and expression microarrays, and chromatin immunoprecipitation with massively parallel sequencing (ChIP-seq). Combining transcriptomic and ChIP-seq data enables a distinction to be drawn between direct and indirect estrogen target genes. This chapter discusses some methods of identifying estrogen target genes that do not require any expertise in programming languages or complex bioinformatics. |
format | Online Article Text |
id | pubmed-5065092 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Springer New York |
record_format | MEDLINE/PubMed |
spelling | pubmed-50650922016-10-14 Bioinformatics Analysis of Estrogen-Responsive Genes Handel, Adam E. Methods Mol Biol Article Estrogen is a steroid hormone that plays critical roles in a myriad of intracellular pathways. The expression of many genes is regulated through the steroid hormone receptors ESR1 and ESR2. These bind to DNA and modulate the expression of target genes. Identification of estrogen target genes is greatly facilitated by the use of transcriptomic methods, such as RNA-seq and expression microarrays, and chromatin immunoprecipitation with massively parallel sequencing (ChIP-seq). Combining transcriptomic and ChIP-seq data enables a distinction to be drawn between direct and indirect estrogen target genes. This chapter discusses some methods of identifying estrogen target genes that do not require any expertise in programming languages or complex bioinformatics. Springer New York 2015-07-04 /pmc/articles/PMC5065092/ /pubmed/26585125 http://dx.doi.org/10.1007/978-1-4939-3127-9_4 Text en © The Author(s) 2016 Open Access This chapter is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, duplication, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this chapter are included in the chapter’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. |
spellingShingle | Article Handel, Adam E. Bioinformatics Analysis of Estrogen-Responsive Genes |
title | Bioinformatics Analysis of Estrogen-Responsive Genes |
title_full | Bioinformatics Analysis of Estrogen-Responsive Genes |
title_fullStr | Bioinformatics Analysis of Estrogen-Responsive Genes |
title_full_unstemmed | Bioinformatics Analysis of Estrogen-Responsive Genes |
title_short | Bioinformatics Analysis of Estrogen-Responsive Genes |
title_sort | bioinformatics analysis of estrogen-responsive genes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5065092/ https://www.ncbi.nlm.nih.gov/pubmed/26585125 http://dx.doi.org/10.1007/978-1-4939-3127-9_4 |
work_keys_str_mv | AT handeladame bioinformaticsanalysisofestrogenresponsivegenes |