Mus musculus strain:C57BL6/J
Ontology highlight
ABSTRACT:
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| DRR165535.fastq.gz | Fastqsanger.gz | |||
| DRR165536.fastq.gz | Fastqsanger.gz | |||
| DRR165537.fastq.gz | Fastqsanger.gz | |||
| DRR165538.fastq.gz | Fastqsanger.gz | |||
| DRR165539.fastq.gz | Fastqsanger.gz |
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Project description:we utilize Nano-MeDIP-seq for the analysis of the LT-HSC methylome and, for the first time, simultaneously interrogate the methylome and transcriptome of a homogeneous population of primary murine HSCs, in order to define the underlying causes of changes in HSC functionality during normal ageing. We isolated and phenotyped primary LT-HSCs from young, middle-aged and old mice and subjected them to comprehensive methylome (MeDIP-seq) and transcriptome (RNA-seq) analysis.
2013-11-01 | E-GEOD-41658 | biostudies-arrayexpress
Project description:The goals of this study are to compare genome-wide DNA methylation levels in young and aged oocytes,and to investigate the transgenerational inheritance of methylome profiles in oocytes during natural aging. We apply a novel protocol of rapamycin to overcome the DNA methylation drift associated with oocyte aging. 8-week-old female mice were injected intraperitoneally with rapamycin or vehicle for 40 weeks. At the end of the experiment, females (48 weeks, F0) were paired with young adult (~4 mo old) males to produce F1 offspring (OF1 and ORaF1). An F2 generation (OF2 and ORaF2) resulted from mating F1 female at 44~48 weeks of age with young adult males. To generate YF1 and YF2 as normal control (offspring of young mother), we mated females (~8 weeks) with young adult males. Then we collect oocytes (F0,F1 and F2 generations)，sperm ( F1 and F2 generations) and hippocampus (F1 female offspring) from different groups to investigate the transgenerational inheritance of DNA methylome profiles associated with oocyte aging by the single cell whole-genome methylation sequencing (sc-WGBS). We found that oocytes from aged mother exhibited increased DNA methylation levels in CpG sites. Maternal aging related methylome changes can be inherited transgenerationally though oocyte to the germ line of F1 and F2 offspring. The application of rapamycin during the course of oocyte aging could reverse these DNA methylation alterations, and it can ameliorate several neurobehavioral aging trails that were in observed in aged oocyte offspring. WGBS-seq on DNA from hippocampal tissue revealed a number of differentially methylated (P<0.05) genes in OF1 and ORaF1 compared with YF1, and some of the enriched pathways were associated with aging process, such as PI3K-Akt signaling pathway (akin to transcriptional alterations above), MAPK signaling and Ras signaling pathway .
2022-12-31 | GSE164139 | GEO
Project description:<h4><strong>BACKGROUND: </strong>Semen quality is negatively correlated with male age and is mainly quantified by a routine semen analysis, which is descriptive and inconclusive. Sperm proteins or semen metabolites are used as the intermediate or end-products, reflecting changes in semen quality, and hold much promise as a new biomarker to predict fertility in advanced-aged males.</h4><h4><strong>OBJECTIVES: </strong>In this study, we sought to assess whether the semen metabolome and proteome of aged males can affect semen quality and serve as biomarkers for predicting semen quality.</h4><p><strong>MATERIALS AND METHODS: </strong>We retrospectively analyzed 12825 males that underwent semen routine analysis to understand the age-dependent changes in sperm quality. To identify the difference between aged and young adults, metabolomics (n=60) analyses of semen and proteomics (n=12) analyses of sperm were conducted. Finally, integrated machine learning of metabolomics was conducted to screen biomarkers to identify aging semen.</p><p><strong>RESULTS:</strong> We discovered that male age was positively correlated with sperm concentration as well as DNA fragmentation index(DFI), and negatively with progressive motile sperm count, total sperm count, sperm volume and progressive sperm motility. The differential metabolites were significantly enriched in various metabolic pathways, and four of these differential metabolites (Pipamperone, 2,2-Bis(hydroxymethyl)-2,2',2''-nitrilotriethanol, Arg-Pro and Triethyl phosphate) were utilized to establish a biomarker panel to identify aging semen. Proteomic analysis showed that differential proteins were significantly enriched in protein digestion and absorption and some energy-related pathways. An integrated analysis of the metabolome and proteome identified differential energy metabolism and oxidative stress-related proteins, which could explain the decreased motility and the increased DFI of aging sperm.</p><p><strong>DISCUSSION AND CONCLUSION:</strong> We provide compelling evidence that the changes in semen metabolome and sperm proteome are related to the decline of semen quality in aged males. Moreover, a biomarker panel based on four metabolites was established to identify aging semen.</p>
2024-01-16 | MTBLS5289 | MetaboLights
Project description:5-methylcytosine is a major epigenetic modification sometimes called "the fifth nucleotide". However, our knowledge of how offspring inherit the DNA methylome from parents is limited. We generated nine single-base resolution DNA methylomes including zebrafish gametes and early embryos. The oocyte methylome is significantly hypo-methylated compared to sperm. Strikingly, the paternal DNA methylation pattern is maintained throughout early embryogenesis. The maternal DNA methylation pattern is maintained until the 16-cell stage. Then, the oocyte methylome is gradually discarded through cell division, and progressively reprogrammed to a pattern similar to that of the sperm methylome. The passive demethylation rate and the de novo methylation rate are similar in the maternal DNA. By the midblastula stage, the embryo?s methylome is virtually identical to the sperm methylome. Moreover, inheritance of the sperm methylome facilitates the epigenetic regulation of embryogenesis. Therefore, besides DNA sequences, sperm DNA methylome is also inherited in zebrafish early embryos. hMeDIP-seq is performed in sperm,2-cell,16-cell,1k-cell and a input control sample 4 new samples are added to GSE44075. RNA-seq is performed in sperm, egg,1k-cell, germring samples .hMeDIP-seq is performed in sperm,2-cell,16-cell,1k-cell and a input control sample 10 new samples are added to GSE44075. Bisulfite-seq is performed for nine samples : sperm, egg,16-cell,32-cell,64-cell,128-cell,1k-cell , Germring and testis. TAB-seq is performed for one sample , 32-cell.
2013-05-20 | E-GEOD-44075 | biostudies-arrayexpress
Project description:5-methylcytosine is a major epigenetic modification sometimes called "the fifth nucleotide". However, our knowledge of how offspring inherit the DNA methylome from parents is limited. We generated nine single-base resolution DNA methylomes including zebrafish gametes and early embryos. The oocyte methylome is significantly hypo-methylated compared to sperm. Strikingly, the paternal DNA methylation pattern is maintained throughout early embryogenesis. The maternal DNA methylation pattern is maintained until the 16-cell stage. Then, the oocyte methylome is gradually discarded through cell division, and progressively reprogrammed to a pattern similar to that of the sperm methylome. The passive demethylation rate and the de novo methylation rate are similar in the maternal DNA. By the midblastula stage, the embryo?s methylome is virtually identical to the sperm methylome. Moreover, inheritance of the sperm methylome facilitates the epigenetic regulation of embryogenesis. Therefore, besides DNA sequences, sperm DNA methylome is also inherited in zebrafish early embryos.
2013-05-20 | GSE44075 | GEO
Project description:Comprehensive analyses of mRNA expression were performed using three different cell populations isolated from skeletal muscle of young and aged mice to investigate age-related changes of each cell population.
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Project description:we build the sperm proteome profile of aged and young males
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Project description:Definitive parameters or mechanisms underlying the severity of COVID-19 in elderly people remain confused. Thus, this study seeks to elucidate the mechanism behind the increased vulnerability of elderly individuals to severe COVID-19. We employed an aged mouse model with a mouse-adapted SARS-CoV-2 strain to mimic the severe symptoms observed in elderly patients with COVID-19. Comprehensive analyses of the whole lung were performed using transcriptome and proteome sequencing, comparing data from aged and young mice. For transcriptome analysis, bulk RNA sequencing was conducted using an Illumina sequencing platform.
2024-08-25 | GSE274784 | GEO