Wound healing and longevity: lessons from long-lived ?MUPA mice.
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ABSTRACT:
SUBMITTER: Yanai H
PROVIDER: S-EPMC4394728 | biostudies-literature | 2015 Mar
REPOSITORIES: biostudies-literature
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Project description:Bats are the longest-lived mammals given their body size with majority of species exhibiting exceptional longevity. However, there are some short-lived species that do not exhibit extended lifespans. Here we conducted a comparative genomic and transcriptomic study on long-lived Myotis myotis (maximum lifespan = 37.1 years) and short-lived Molossus molossus (maximum lifespan = 5.6 years) to ascertain the genetic difference underlying their divergent longevities. Genome-wide selection tests on 12,467 single-copy genes between M. myotis and M. molossus revealed only three genes (CCDC175, FATE1 and MLKL) that exhibited significant positive selection. Although 97.96% of 12,467 genes underwent purifying selection, we observed a significant heterogeneity in their expression patterns. Using a linear mixed model, we obtained expression of 2,086 genes that may truly represent the genetic difference between M. myotis and M. molossus. Expression analysis indicated that long-lived M. myotis exhibited a transcriptomic profile of enhanced DNA repair and autophagy pathways, compared to M. molossus. Further investigation of the longevity-associated genes suggested that long-lived M. myotis have naturally evolved a diminished anti-longevity transcriptomic profile. Together with observations from other long-lived species, our results suggest that heightened DNA repair and autophagy activity may represent a universal mechanism to achieve longevity in long-lived mammals.
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Project description:BackgroundLong-lived strains of dwarf mice carry mutations that suppress growth hormone (GH) and insulin-like growth factor I (IGF-I) signaling. The downstream effects of these endocrine abnormalities, however, are not well understood and it is unclear how these processes interact with aging mechanisms. This study presents a comparative analysis of microarray experiments that have measured hepatic gene expression levels in long-lived strains carrying one of four mutations (Prop1(df/df), Pit1(dw/dw), Ghrhr(lit/lit), GHR-KO) and describes how the effects of these mutations relate to one another at the transcriptional level. Points of overlap with the effects of calorie restriction (CR), CR mimetic compounds, low fat diets, gender dimorphism and aging were also examined.ResultsAll dwarf mutations had larger and more consistent effects on IGF-I expression than dietary treatments. In comparison to dwarf mutations, however, the transcriptional effects of CR (and some CR mimetics) overlapped more strongly with those of aging. Surprisingly, the Ghrhr(lit/lit) mutation had much larger effects on gene expression than the GHR-KO mutation, even though both mutations affect the same endocrine pathway. Several genes potentially regulated or co-regulated with the IGF-I transcript in liver tissue were identified, including a DNA repair gene (Snm1) that is upregulated in proportion to IGF-I inhibition. A total of 13 genes exhibiting parallel differential expression patterns among all four strains of long-lived dwarf mice were identified, in addition to 30 genes with matching differential expression patterns in multiple long-lived dwarf strains and under CR.ConclusionComparative analysis of microarray datasets can identify patterns and consistencies not discernable from any one dataset individually. This study implements new analytical approaches to provide a detailed comparison among the effects of life-extending mutations, dietary treatments, gender and aging. This comparison provides insight into a broad range of issues relevant to the study of mammalian aging. In this context, 43 longevity-associated genes are identified and individual genes with the highest level of support among all microarray experiments are highlighted. These results provide promising targets for future experimental investigation as well as potential clues for understanding the functional basis of lifespan extension in mammalian systems.
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Project description:Transcription profiling by array of wounded Nematostella juvenile polyps compared against uninjured animals and animals exposed to the MAPK inhibitor U0126
2014-03-10 | E-MTAB-2341 | biostudies-arrayexpress
Project description:Monocytes (Mos)/macrophages (Mϕs) orchestrate biological processes critical for efficient skin wound healing. However, current understanding of skin wound Mo/Mϕ heterogeneity is limited by traditional experimental approaches such as flow cytometry and immunohistochemistry. Therefore, we sought to more fully explore Mo/Mϕ heterogeneity and associated state transitions during the course of excisional skin wound healing in mice using single-cell RNA sequencing. The live CD45+CD11b+Ly6G- cells were isolated from skin wounds of C57BL/6 mice on days 3, 6, and 10 postinjury and captured using the 10x Genomics Chromium platform. A total of 2813 high-quality cells were embedded into a uniform manifold approximation and projection space, and eight clusters of distinctive cell populations were identified. Cluster dissimilarity and differentially expressed gene analysis categorized those clusters into three groups: early-stage/proinflammatory, late-stage/prohealing, and Ag-presenting phenotypes. Signature gene and Gene Ontology analysis of each cluster provided clues about the different functions of the Mo/Mϕ subsets, including inflammation, chemotaxis, biosynthesis, angiogenesis, proliferation, and cell death. Quantitative PCR assays validated characteristics of early- versus late-stage Mos/Mϕs inferred from our single-cell RNA sequencing dataset. Additionally, cell trajectory analysis by pseudotime and RNA velocity and adoptive transfer experiments indicated state transitions between early- and late-state Mos/Mϕs as healing progressed. Finally, we show that the chemokine Ccl7, which was a signature gene for early-stage Mos/Mϕs, preferentially induced the accumulation of proinflammatory Ly6C+F4/80lo/- Mos/Mϕs in mouse skin wounds. In summary, our data demonstrate the complexity of Mo/Mϕ phenotypes, their dynamic behavior, and diverse functions during normal skin wound healing.
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