Cargando…
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...
Autores principales: | , , , , , |
---|---|
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 |
_version_ | 1782399595195662336 |
---|---|
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. |
format | Online Article Text |
id | pubmed-4636074 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT whiteryanr comprehensivetranscriptionallandscapeofagingmouseliver AT milhollandbrandon comprehensivetranscriptionallandscapeofagingmouseliver AT macraesheilal comprehensivetranscriptionallandscapeofagingmouseliver AT linmingyan comprehensivetranscriptionallandscapeofagingmouseliver AT zhengdeyou comprehensivetranscriptionallandscapeofagingmouseliver AT vijgjan comprehensivetranscriptionallandscapeofagingmouseliver |