Cargando…

Meta‐analysis and Consolidation of Farnesoid X Receptor Chromatin Immunoprecipitation Sequencing Data Across Different Species and Conditions

Farnesoid X receptor (FXR) is a nuclear receptor that controls gene regulation of different metabolic pathways and represents an upcoming drug target for various liver diseases. Several data sets on genome‐wide FXR binding in different species and conditions exist. We have previously reported that t...

Descripción completa

Detalles Bibliográficos
Autores principales: Jungwirth, Emilian, Panzitt, Katrin, Marschall, Hanns‐Ulrich, Thallinger, Gerhard G., Wagner, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8485886/
https://www.ncbi.nlm.nih.gov/pubmed/34558825
http://dx.doi.org/10.1002/hep4.1749
_version_ 1784577625333694464
author Jungwirth, Emilian
Panzitt, Katrin
Marschall, Hanns‐Ulrich
Thallinger, Gerhard G.
Wagner, Martin
author_facet Jungwirth, Emilian
Panzitt, Katrin
Marschall, Hanns‐Ulrich
Thallinger, Gerhard G.
Wagner, Martin
author_sort Jungwirth, Emilian
collection PubMed
description Farnesoid X receptor (FXR) is a nuclear receptor that controls gene regulation of different metabolic pathways and represents an upcoming drug target for various liver diseases. Several data sets on genome‐wide FXR binding in different species and conditions exist. We have previously reported that these data sets are heterogeneous and do not cover the full spectrum of potential FXR binding sites. Here, we report the first meta‐analysis of all publicly available FXR chromatin immunoprecipitation sequencing (ChIP‐seq) data sets from mouse, rat, and human across different conditions using a newly generated analysis pipeline. All publicly available single data sets were biocurated in a standardized manner and compared on every relevant level from raw reads to affected functional pathways. Individual murine data sets were then virtually merged into a single unique “FXR binding atlas” spanning all potential binding sites across various conditions. Comparison of the single biocurated data sets showed that the overlap of FXR binding sites between different species is modest and ranges from 48% (mouse‐human) to 55% (mouse‐rat). Moreover, in vivo data among different species are more similar than human in vivo data compared to human in vitro data. The consolidated murine global FXR binding atlas virtually increases sequencing depth and allows recovering more and novel potential binding sites and signaling pathways that were missed in the individual data sets. The FXR binding atlas is publicly searchable (https://fxratlas.tugraz.at). Conclusion: Published single FXR ChIP‐seq data sets and large‐scale integrated omics data sets do not cover the full spectrum of FXR binding. Combining different individual data sets and creating an “FXR super‐binding atlas” enhances understanding of FXR signaling capacities across different conditions. This is important when considering the potential wide spectrum for drugs targeting FXR in liver diseases.
format Online
Article
Text
id pubmed-8485886
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-84858862021-10-07 Meta‐analysis and Consolidation of Farnesoid X Receptor Chromatin Immunoprecipitation Sequencing Data Across Different Species and Conditions Jungwirth, Emilian Panzitt, Katrin Marschall, Hanns‐Ulrich Thallinger, Gerhard G. Wagner, Martin Hepatol Commun Original Articles Farnesoid X receptor (FXR) is a nuclear receptor that controls gene regulation of different metabolic pathways and represents an upcoming drug target for various liver diseases. Several data sets on genome‐wide FXR binding in different species and conditions exist. We have previously reported that these data sets are heterogeneous and do not cover the full spectrum of potential FXR binding sites. Here, we report the first meta‐analysis of all publicly available FXR chromatin immunoprecipitation sequencing (ChIP‐seq) data sets from mouse, rat, and human across different conditions using a newly generated analysis pipeline. All publicly available single data sets were biocurated in a standardized manner and compared on every relevant level from raw reads to affected functional pathways. Individual murine data sets were then virtually merged into a single unique “FXR binding atlas” spanning all potential binding sites across various conditions. Comparison of the single biocurated data sets showed that the overlap of FXR binding sites between different species is modest and ranges from 48% (mouse‐human) to 55% (mouse‐rat). Moreover, in vivo data among different species are more similar than human in vivo data compared to human in vitro data. The consolidated murine global FXR binding atlas virtually increases sequencing depth and allows recovering more and novel potential binding sites and signaling pathways that were missed in the individual data sets. The FXR binding atlas is publicly searchable (https://fxratlas.tugraz.at). Conclusion: Published single FXR ChIP‐seq data sets and large‐scale integrated omics data sets do not cover the full spectrum of FXR binding. Combining different individual data sets and creating an “FXR super‐binding atlas” enhances understanding of FXR signaling capacities across different conditions. This is important when considering the potential wide spectrum for drugs targeting FXR in liver diseases. John Wiley and Sons Inc. 2021-07-01 /pmc/articles/PMC8485886/ /pubmed/34558825 http://dx.doi.org/10.1002/hep4.1749 Text en © 2021 The Authors. Hepatology Communications published by Wiley Periodicals LLC on behalf of the American Association for the Study of Liver Diseases. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Jungwirth, Emilian
Panzitt, Katrin
Marschall, Hanns‐Ulrich
Thallinger, Gerhard G.
Wagner, Martin
Meta‐analysis and Consolidation of Farnesoid X Receptor Chromatin Immunoprecipitation Sequencing Data Across Different Species and Conditions
title Meta‐analysis and Consolidation of Farnesoid X Receptor Chromatin Immunoprecipitation Sequencing Data Across Different Species and Conditions
title_full Meta‐analysis and Consolidation of Farnesoid X Receptor Chromatin Immunoprecipitation Sequencing Data Across Different Species and Conditions
title_fullStr Meta‐analysis and Consolidation of Farnesoid X Receptor Chromatin Immunoprecipitation Sequencing Data Across Different Species and Conditions
title_full_unstemmed Meta‐analysis and Consolidation of Farnesoid X Receptor Chromatin Immunoprecipitation Sequencing Data Across Different Species and Conditions
title_short Meta‐analysis and Consolidation of Farnesoid X Receptor Chromatin Immunoprecipitation Sequencing Data Across Different Species and Conditions
title_sort meta‐analysis and consolidation of farnesoid x receptor chromatin immunoprecipitation sequencing data across different species and conditions
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8485886/
https://www.ncbi.nlm.nih.gov/pubmed/34558825
http://dx.doi.org/10.1002/hep4.1749
work_keys_str_mv AT jungwirthemilian metaanalysisandconsolidationoffarnesoidxreceptorchromatinimmunoprecipitationsequencingdataacrossdifferentspeciesandconditions
AT panzittkatrin metaanalysisandconsolidationoffarnesoidxreceptorchromatinimmunoprecipitationsequencingdataacrossdifferentspeciesandconditions
AT marschallhannsulrich metaanalysisandconsolidationoffarnesoidxreceptorchromatinimmunoprecipitationsequencingdataacrossdifferentspeciesandconditions
AT thallingergerhardg metaanalysisandconsolidationoffarnesoidxreceptorchromatinimmunoprecipitationsequencingdataacrossdifferentspeciesandconditions
AT wagnermartin metaanalysisandconsolidationoffarnesoidxreceptorchromatinimmunoprecipitationsequencingdataacrossdifferentspeciesandconditions