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Transcriptomic profiling of induced steatosis in human and mouse precision-cut liver slices
There is a high need for predictive human ex vivo models for non-alcoholic fatty liver disease (NAFLD). About a decade ago, precision-cut liver slices (PCLSs) have been established as an ex vivo assay for humans and other organisms. In the present study, we use transcriptomics by RNASeq to profile a...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10199090/ https://www.ncbi.nlm.nih.gov/pubmed/37208356 http://dx.doi.org/10.1038/s41597-023-02220-0 |
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author | Simon, Eric Motyka, Maciej Prins, Grietje H. Li, Mei Rust, Werner Kauschke, Stefan Viollet, Coralie Olinga, Peter Oldenburger, Anouk |
author_facet | Simon, Eric Motyka, Maciej Prins, Grietje H. Li, Mei Rust, Werner Kauschke, Stefan Viollet, Coralie Olinga, Peter Oldenburger, Anouk |
author_sort | Simon, Eric |
collection | PubMed |
description | There is a high need for predictive human ex vivo models for non-alcoholic fatty liver disease (NAFLD). About a decade ago, precision-cut liver slices (PCLSs) have been established as an ex vivo assay for humans and other organisms. In the present study, we use transcriptomics by RNASeq to profile a new human and mouse PCLSs based assay for steatosis in NAFLD. Steatosis as quantified by an increase of triglycerides after 48 h in culture, is induced by incremental supplementation of sugars (glucose and fructose), insulin, and fatty acids (palmitate, oleate). We mirrored the experimental design for human vs. mouse liver organ derived PCLSs and profiled each organ at eight different nutrient conditions after 24 h and 48 h time in culture. Thus, the provided data allows a comprehensive analysis of the donor, species, time, and nutrient factor specific regulation of gene expression in steatosis, despite the heterogeneity of the human tissue samples. Exemplified this is demonstrated by ranking homologous gene pairs by convergent or divergent expression pattern across nutrient conditions. |
format | Online Article Text |
id | pubmed-10199090 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-101990902023-05-21 Transcriptomic profiling of induced steatosis in human and mouse precision-cut liver slices Simon, Eric Motyka, Maciej Prins, Grietje H. Li, Mei Rust, Werner Kauschke, Stefan Viollet, Coralie Olinga, Peter Oldenburger, Anouk Sci Data Data Descriptor There is a high need for predictive human ex vivo models for non-alcoholic fatty liver disease (NAFLD). About a decade ago, precision-cut liver slices (PCLSs) have been established as an ex vivo assay for humans and other organisms. In the present study, we use transcriptomics by RNASeq to profile a new human and mouse PCLSs based assay for steatosis in NAFLD. Steatosis as quantified by an increase of triglycerides after 48 h in culture, is induced by incremental supplementation of sugars (glucose and fructose), insulin, and fatty acids (palmitate, oleate). We mirrored the experimental design for human vs. mouse liver organ derived PCLSs and profiled each organ at eight different nutrient conditions after 24 h and 48 h time in culture. Thus, the provided data allows a comprehensive analysis of the donor, species, time, and nutrient factor specific regulation of gene expression in steatosis, despite the heterogeneity of the human tissue samples. Exemplified this is demonstrated by ranking homologous gene pairs by convergent or divergent expression pattern across nutrient conditions. Nature Publishing Group UK 2023-05-19 /pmc/articles/PMC10199090/ /pubmed/37208356 http://dx.doi.org/10.1038/s41597-023-02220-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, 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 article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’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. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Simon, Eric Motyka, Maciej Prins, Grietje H. Li, Mei Rust, Werner Kauschke, Stefan Viollet, Coralie Olinga, Peter Oldenburger, Anouk Transcriptomic profiling of induced steatosis in human and mouse precision-cut liver slices |
title | Transcriptomic profiling of induced steatosis in human and mouse precision-cut liver slices |
title_full | Transcriptomic profiling of induced steatosis in human and mouse precision-cut liver slices |
title_fullStr | Transcriptomic profiling of induced steatosis in human and mouse precision-cut liver slices |
title_full_unstemmed | Transcriptomic profiling of induced steatosis in human and mouse precision-cut liver slices |
title_short | Transcriptomic profiling of induced steatosis in human and mouse precision-cut liver slices |
title_sort | transcriptomic profiling of induced steatosis in human and mouse precision-cut liver slices |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10199090/ https://www.ncbi.nlm.nih.gov/pubmed/37208356 http://dx.doi.org/10.1038/s41597-023-02220-0 |
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