2015
DOI: 10.1186/s12864-015-2061-8
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Comprehensive transcriptional landscape of aging mouse liver

Abstract: BackgroundMammalian 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 accurat… Show more

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Cited by 100 publications
(101 citation statements)
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References 62 publications
(88 reference statements)
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“…Recent studies using high‐throughput RNA sequencing technology have revealed that the expression of mammalian mRNAs changes extensively during the aging process (Baumgart et al., 2016; White et al., 2015). The dynamic expression of mRNAs is mainly governed by transcription and decay via their interactions with trans‐regulatory factors (e.g., RNA‐binding proteins and noncoding RNAs) and cis‐regulatory elements (specific sequences on mRNAs for RNA‐binding protein interaction, miRNA targeting, RNA modification, etc.)…”
Section: Introductionmentioning
confidence: 99%
“…Recent studies using high‐throughput RNA sequencing technology have revealed that the expression of mammalian mRNAs changes extensively during the aging process (Baumgart et al., 2016; White et al., 2015). The dynamic expression of mRNAs is mainly governed by transcription and decay via their interactions with trans‐regulatory factors (e.g., RNA‐binding proteins and noncoding RNAs) and cis‐regulatory elements (specific sequences on mRNAs for RNA‐binding protein interaction, miRNA targeting, RNA modification, etc.)…”
Section: Introductionmentioning
confidence: 99%
“…This has frequently been observed in microarray comparisons between young and old mouse tissues, which have revealed elevated expression of immune cell-derived proteins, such as Mrp8 and Mrp14 [29, 30, 37–40]. We hypothesized that elevated Mrp8/Mrp14 expression with aging drives accumulation of immune cells within aging tissues.…”
Section: Discussionmentioning
confidence: 88%
“…We chose liver as a model system to study inflammaging because (i) Mrp8 and Mrp14 mRNAs are robustly elevated in old versus young liver [3], (ii) stress-dependent differences in hepatic inflammation have been identified between WT and KO mice [18, 19], and (iii) hepatic inflammation is a robust feature of aging that has been well-characterized by previous work [27–29]. Our findings reveal unexpected gene expression differences between WT and KO mice at a young age (in the absence of physiological stress), and address the hypothesis that Mrp8 and Mrp14 accumulation promotes age-related inflammation.…”
Section: Introductionmentioning
confidence: 99%
“…It has been known for quite some time that the fraction of the genome dedicated to regulation is much larger than the fraction that codes for amino acids, so it is time we gave the regulatory region its due. Indeed, it is now becoming apparent that not only does gene expression become increasingly disordered between cells with age (Bahar et al, 2006) but also that both natural aging and DNA damage-induced premature aging are accompanied by large-scale transcriptomic alterations, including increased variation in gene expression (White et al, 2015a, 2015b). …”
Section: The Somatic Mutation Catastrophe Theory Of Agingmentioning
confidence: 99%