Please use this identifier to cite or link to this item:
http://hdl.handle.net/10553/69834
Title: | Analysis of LXR nuclear receptor cistrome through ChIP-Seq data bioinformatics | Authors: | de la Rosa, Juan Vladimir Ramón-Vázquez, Ana Tabraue, Carlos Castrillo, Antonio |
UNESCO Clasification: | 241208 Trasplante de órganos | Keywords: | Bioinformatics Chip-Seq Homer Liver X Receptors Transcription Factor Binding |
Issue Date: | 2019 | Journal: | Methods in molecular biology (Clifton, N.J.) | Abstract: | Liver X receptors are members of the nuclear receptor superfamily of transcription factors. The LXR genes (NR1H2 and NR1H3) encode for two different proteins referred to as LXRα and LXRβ. Each LXR presents diverse tissue distribution but similar target DNA-binding elements and ligands. Both LXRs act as relevant transcriptional regulators of cholesterol metabolism in many tissues. Additionally, LXRs participate in innate immunity and inflammation. Therefore, in order to understand the molecular requirements that operate in LXR-dependent transcription, it is important to decipher LXR genomic binding properties. We have recently performed genome-wide binding analysis of LXR proteins. In this method paper, we describe a detailed computational protocol primarily based on HOMER software package for the analysis of ChIP-seq data. | URI: | http://hdl.handle.net/10553/69834 | ISSN: | 1064-3745 | DOI: | 10.1007/978-1-4939-9130-3_8 | Source: | Methods in Molecular Biology [ISSN 1064-3745],v. 1951, p. 99-109 |
Appears in Collections: | Artículos |
SCOPUSTM
Citations
2
checked on Nov 24, 2024
WEB OF SCIENCETM
Citations
2
checked on Nov 24, 2024
Page view(s)
115
checked on Jun 8, 2024
Google ScholarTM
Check
Altmetric
Share
Export metadata
Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.