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Multi-omics characterization of a diet-induced obese model of non-alcoholic steatohepatitis
To improve the understanding of the complex biological processes underlying the development of non-alcoholic steatohepatitis (NASH), a multi-omics approach combining bulk RNA-sequencing based transcriptomics, quantitative proteomics and single-cell RNA-sequencing was used to characterize tissue biop...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6981216/ https://www.ncbi.nlm.nih.gov/pubmed/31980690 http://dx.doi.org/10.1038/s41598-020-58059-7 |
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author | Ægidius, Helene M. Veidal, Sanne S. Feigh, Michael Hallenborg, Philip Puglia, Michele Pers, Tune H. Vrang, Niels Jelsing, Jacob Kornum, Birgitte R. Blagoev, Blagoy Rigbolt, Kristoffer T. G. |
author_facet | Ægidius, Helene M. Veidal, Sanne S. Feigh, Michael Hallenborg, Philip Puglia, Michele Pers, Tune H. Vrang, Niels Jelsing, Jacob Kornum, Birgitte R. Blagoev, Blagoy Rigbolt, Kristoffer T. G. |
author_sort | Ægidius, Helene M. |
collection | PubMed |
description | To improve the understanding of the complex biological processes underlying the development of non-alcoholic steatohepatitis (NASH), a multi-omics approach combining bulk RNA-sequencing based transcriptomics, quantitative proteomics and single-cell RNA-sequencing was used to characterize tissue biopsies from histologically validated diet-induced obese (DIO) NASH mice compared to chow-fed controls. Bulk RNA-sequencing and proteomics showed a clear distinction between phenotypes and a good correspondence between mRNA and protein level regulations, apart from specific regulatory events discovered by each technology. Transcriptomics-based gene set enrichment analysis revealed changes associated with key clinical manifestations of NASH, including impaired lipid metabolism, increased extracellular matrix formation/remodeling and pro-inflammatory responses, whereas proteomics-based gene set enrichment analysis pinpointed metabolic pathway perturbations. Integration with single-cell RNA-sequencing data identified key regulated cell types involved in development of NASH demonstrating the cellular heterogeneity and complexity of NASH pathogenesis. |
format | Online Article Text |
id | pubmed-6981216 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-69812162020-01-30 Multi-omics characterization of a diet-induced obese model of non-alcoholic steatohepatitis Ægidius, Helene M. Veidal, Sanne S. Feigh, Michael Hallenborg, Philip Puglia, Michele Pers, Tune H. Vrang, Niels Jelsing, Jacob Kornum, Birgitte R. Blagoev, Blagoy Rigbolt, Kristoffer T. G. Sci Rep Article To improve the understanding of the complex biological processes underlying the development of non-alcoholic steatohepatitis (NASH), a multi-omics approach combining bulk RNA-sequencing based transcriptomics, quantitative proteomics and single-cell RNA-sequencing was used to characterize tissue biopsies from histologically validated diet-induced obese (DIO) NASH mice compared to chow-fed controls. Bulk RNA-sequencing and proteomics showed a clear distinction between phenotypes and a good correspondence between mRNA and protein level regulations, apart from specific regulatory events discovered by each technology. Transcriptomics-based gene set enrichment analysis revealed changes associated with key clinical manifestations of NASH, including impaired lipid metabolism, increased extracellular matrix formation/remodeling and pro-inflammatory responses, whereas proteomics-based gene set enrichment analysis pinpointed metabolic pathway perturbations. Integration with single-cell RNA-sequencing data identified key regulated cell types involved in development of NASH demonstrating the cellular heterogeneity and complexity of NASH pathogenesis. Nature Publishing Group UK 2020-01-24 /pmc/articles/PMC6981216/ /pubmed/31980690 http://dx.doi.org/10.1038/s41598-020-58059-7 Text en © The Author(s) 2020 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/. |
spellingShingle | Article Ægidius, Helene M. Veidal, Sanne S. Feigh, Michael Hallenborg, Philip Puglia, Michele Pers, Tune H. Vrang, Niels Jelsing, Jacob Kornum, Birgitte R. Blagoev, Blagoy Rigbolt, Kristoffer T. G. Multi-omics characterization of a diet-induced obese model of non-alcoholic steatohepatitis |
title | Multi-omics characterization of a diet-induced obese model of non-alcoholic steatohepatitis |
title_full | Multi-omics characterization of a diet-induced obese model of non-alcoholic steatohepatitis |
title_fullStr | Multi-omics characterization of a diet-induced obese model of non-alcoholic steatohepatitis |
title_full_unstemmed | Multi-omics characterization of a diet-induced obese model of non-alcoholic steatohepatitis |
title_short | Multi-omics characterization of a diet-induced obese model of non-alcoholic steatohepatitis |
title_sort | multi-omics characterization of a diet-induced obese model of non-alcoholic steatohepatitis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6981216/ https://www.ncbi.nlm.nih.gov/pubmed/31980690 http://dx.doi.org/10.1038/s41598-020-58059-7 |
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