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Comprehensive transcriptional landscape of aging mouse liver

BACKGROUND: Mammalian aging is a highly complex process, a full mechanistic understanding of which is still lacking. One way to help understand the molecular changes underlying aging is through a comprehensive analysis of the transcriptome, the primary determinant of age-related phenotypic diversity...

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Autores principales: White, Ryan R., Milholland, Brandon, MacRae, Sheila L., Lin, Mingyan, Zheng, Deyou, Vijg, Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4636074/
https://www.ncbi.nlm.nih.gov/pubmed/26541291
http://dx.doi.org/10.1186/s12864-015-2061-8
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author White, Ryan R.
Milholland, Brandon
MacRae, Sheila L.
Lin, Mingyan
Zheng, Deyou
Vijg, Jan
author_facet White, Ryan R.
Milholland, Brandon
MacRae, Sheila L.
Lin, Mingyan
Zheng, Deyou
Vijg, Jan
author_sort White, Ryan R.
collection PubMed
description BACKGROUND: Mammalian aging is a highly complex process, a full mechanistic understanding of which is still lacking. One way to help understand the molecular changes underlying aging is through a comprehensive analysis of the transcriptome, the primary determinant of age-related phenotypic diversity. Previous studies have relied on microarray analysis to examine gene expression profiles in different tissues of aging organisms. However, studies have shown microarray-based transcriptional profiling is less accurate and not fully capable of capturing certain intricacies of the global transcriptome. METHODS: Here, using directional whole transcriptome RNA-sequencing of aged mouse liver we have identified a comprehensive high-resolution profile of differentially expressed liver transcripts comprised of canonical protein-coding transcripts, transcript isoforms, and non-coding RNA transcripts, including pseudogenes, long non-coding RNAs and small RNA species. RESULTS: Results show extensive age-related changes in every component of the mouse liver transcriptome and a pronounced increase in inter-individual variation. Functional annotation of the protein-coding mRNAs and isoforms indicated broad alterations in immune response, cell activation, metabolic processes, and RNA modification. Interestingly, multiple lncRNAs (Meg3, Rian, Mirg) from the Dlk-Dio3 microRNA locus were found up-regulated in aging liver, classifying this locus as a putative regulatory hotspot locus in aging liver. Moreover, integration of the altered non-coding RNAs and protein-coding transcripts into interaction networks of age-related change revealed inflammation, cellular proliferation, and metabolism as the dominant aging phenotypes in mouse liver. CONCLUSIONS: Our analyses provide the first comprehensive dissection of the transcriptional landscape in aging mouse liver. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-015-2061-8) contains supplementary material, which is available to authorized users.
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spelling pubmed-46360742015-11-07 Comprehensive transcriptional landscape of aging mouse liver White, Ryan R. Milholland, Brandon MacRae, Sheila L. Lin, Mingyan Zheng, Deyou Vijg, Jan BMC Genomics Research Article BACKGROUND: Mammalian aging is a highly complex process, a full mechanistic understanding of which is still lacking. One way to help understand the molecular changes underlying aging is through a comprehensive analysis of the transcriptome, the primary determinant of age-related phenotypic diversity. Previous studies have relied on microarray analysis to examine gene expression profiles in different tissues of aging organisms. However, studies have shown microarray-based transcriptional profiling is less accurate and not fully capable of capturing certain intricacies of the global transcriptome. METHODS: Here, using directional whole transcriptome RNA-sequencing of aged mouse liver we have identified a comprehensive high-resolution profile of differentially expressed liver transcripts comprised of canonical protein-coding transcripts, transcript isoforms, and non-coding RNA transcripts, including pseudogenes, long non-coding RNAs and small RNA species. RESULTS: Results show extensive age-related changes in every component of the mouse liver transcriptome and a pronounced increase in inter-individual variation. Functional annotation of the protein-coding mRNAs and isoforms indicated broad alterations in immune response, cell activation, metabolic processes, and RNA modification. Interestingly, multiple lncRNAs (Meg3, Rian, Mirg) from the Dlk-Dio3 microRNA locus were found up-regulated in aging liver, classifying this locus as a putative regulatory hotspot locus in aging liver. Moreover, integration of the altered non-coding RNAs and protein-coding transcripts into interaction networks of age-related change revealed inflammation, cellular proliferation, and metabolism as the dominant aging phenotypes in mouse liver. CONCLUSIONS: Our analyses provide the first comprehensive dissection of the transcriptional landscape in aging mouse liver. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-015-2061-8) contains supplementary material, which is available to authorized users. BioMed Central 2015-11-05 /pmc/articles/PMC4636074/ /pubmed/26541291 http://dx.doi.org/10.1186/s12864-015-2061-8 Text en © White et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
White, Ryan R.
Milholland, Brandon
MacRae, Sheila L.
Lin, Mingyan
Zheng, Deyou
Vijg, Jan
Comprehensive transcriptional landscape of aging mouse liver
title Comprehensive transcriptional landscape of aging mouse liver
title_full Comprehensive transcriptional landscape of aging mouse liver
title_fullStr Comprehensive transcriptional landscape of aging mouse liver
title_full_unstemmed Comprehensive transcriptional landscape of aging mouse liver
title_short Comprehensive transcriptional landscape of aging mouse liver
title_sort comprehensive transcriptional landscape of aging mouse liver
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4636074/
https://www.ncbi.nlm.nih.gov/pubmed/26541291
http://dx.doi.org/10.1186/s12864-015-2061-8
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