Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autor principal: Handel, Adam E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer New York 2015
Materias:
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
_version_ 1782460266814898176
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