2019
DOI: 10.5483/bmbrep.2019.52.1.296
|View full text |Cite
|
Sign up to set email alerts
|

Multi-level remodeling of transcriptional landscapes in aging and longevity

Abstract: In multi-cellular organisms, the control of gene expression is key not only for development, but also for adult cellular homeostasis, and gene expression has been observed to be deregulated with aging. In this review, we discuss the current knowledge on the transcriptional alterations that have been described to occur with age in metazoans. First, we discuss age-related transcriptional changes in protein-coding genes, the expected functional impact of such changes, and how known pro-longevity interventions imp… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

4
36
1

Year Published

2019
2019
2022
2022

Publication Types

Select...
6
2
1

Relationship

2
7

Authors

Journals

citations
Cited by 48 publications
(46 citation statements)
references
References 271 publications
(293 reference statements)
4
36
1
Order By: Relevance
“…Key predictors also included CG and CpG content in the promoter and gene sequences ( Figure 5C). This observation is consistent with our previous work identifying promoter CpG content as a top predictive feature of age-related gene expression across four male mouse tissues (Benayoun et al, 2019). Cytosines in CpG configurations are the primary targets of DNA methylation in mammalian cells (Rausch et al, 2020).…”
Section: Machine-learning Reveals Predictive Features Of Age-related supporting
confidence: 93%
See 1 more Smart Citation
“…Key predictors also included CG and CpG content in the promoter and gene sequences ( Figure 5C). This observation is consistent with our previous work identifying promoter CpG content as a top predictive feature of age-related gene expression across four male mouse tissues (Benayoun et al, 2019). Cytosines in CpG configurations are the primary targets of DNA methylation in mammalian cells (Rausch et al, 2020).…”
Section: Machine-learning Reveals Predictive Features Of Age-related supporting
confidence: 93%
“…Indeed, neutrophil dysfunction in aging organisms may help drive aspects of age-related inflammatory phenotypes, including the neutrophils' ability to resolve inflammation, to undergo NETosis and to secrete proteases from their intracellular granules (Sapey et al, 2014;Tseng and Liu, 2014). Although changes in gene expression regulation throughout lifespan have been reported across many tissues and cell types (Benayoun et al, 2019;Lai et al, 2019), how organismal aging (rather than "daily" cellular aging) affects neutrophils remains largely unknown.…”
Section: Introductionmentioning
confidence: 99%
“…The true long‐term solution, and where much of our future research likely may need to occur may be in preventing the onset of presbyopia in the first place . Or, better yet, maybe even preventing ageing from occurring in the first place? However, until then, a key understanding of the strengths and limitations of accommodation surrogates and how they might be applied in our clinical practices to aid our patients is critical.…”
Section: Lessons From Evolutionmentioning
confidence: 99%
“…Aging is a multi-dimensional, multi-factorial process [4], in which the organism continuously adapts to the progressive accumulation of damage and the decay in maintenance systems that occur over time [5,6]. Age-related changes have been described at the epigenomic [7,8], transcriptomic [9,10], and proteomic level [11][12][13]. Regarding the proteome, the observed changes are, in part, related to the diminished efficiency of the proteostasis machinery, which leads to the accumulation of damaged, misfolded and/or aggregated proteins [14].…”
Section: Introductionmentioning
confidence: 99%