DNA methylation covariation in human whole blood and sperm
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA627950 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Epidemiological studies in humans suggest that acquired paternal traits, such as obesity, are associated with a higher risk of fathering small for gestational age offspring. Studies in non-human mammals suggest that such associations could be mediated by DNA methylation changes in spermatozoa that influence offspring development in utero. Human obesity is associated with differential DNA methylation in peripheral blood. It is unclear, however, whether this differential DNA methylation is reflected in less readily available tissues such as spermatozoa. In this study, we profiled genome-wide DNA methylation with the Infinium MethylationEPIC array in matched samples of human blood and sperm from lean (discovery n = 47; replication n = 21) and obese (n = 22) healthy males of proven fertility. To characterize sperm-specific DNA methylation signatures, we compared spermatozoal DNA methylation data to that of nearly 6,000 somatic tissue samples available on the Gene Expression Omnibus database. We studied covariation patterns between whole blood and sperm and investigated consistent obesity-associated DNA methylation differences.
2020-05-03 | GSE149318 | GEO
Project description:BACKGROUND: In previous studies using candidate gene approaches, low sperm count (oligospermia) has been associated with altered sperm mRNA content and DNA methylation in both imprinted and non-imprinted genes. We performed a genome-wide analysis of sperm DNA methylation and mRNA content to test for associations with sperm function. METHODS AND RESULTS: Sperm DNA and mRNA were isolated from 21 men with a range of semen parameters presenting to a tertiary male reproductive health clinic. DNA methylation was measured with the Illumina Infinium array at 27,000 CpG loci. Unsupervised clustering of methylation data differentiated the 21 sperm samples by their motility values. Recursively partitioned mixture modeling (RPMM) of methylation data resulted in four distinct methylation profiles that were significantly associated with sperm motility (P=0.01). Linear models of microarray analysis (LIMMA) was performed based on motility and identified 9,189 CpG loci with significantly altered methylation (Q<0.05) in the low motility samples, with many loci located in genes associated with subfertility and epigenetic regulation. In the low motility samples, the majority of disrupted CpG loci (80%) were hypomethylated. Of the aberrantly methylated CpGs, 194 were associated with imprinted genes almost equally distributed into hypermethylated (predominantly paternally expressed) and hypomethylated (predominantly maternally expressed) groups. Sperm mRNA was measured with the Human Gene 1.0 ST Affymetrix GeneChip Array. LIMMA analysis based on motility identified 20 candidate transcripts as differentially expressed in low motility sperm, including HDAC1 (NCBI 3065), SIRT3 (NCBI 23410), and DNMT3A (NCBI 1788). Altered expression of these epigenetic regulatory genes was associated with RPMM DNA methylation class. CONCLUSIONS: Using integrative genome-wide approaches to study epigenetic and gene expression patterns in human sperm we identified CpG methylation profiles and mRNA alterations associated with low sperm motility, and that low motility sperm may have aberrant genome-wide hypomethylation due to excess HDAC1 activity. See summary above
2011-06-02 | E-GEOD-26974 | biostudies-arrayexpress
Project description:Cord blood DNA methylation is associated with numerous health outcomes and environmental exposures. Whole cord blood DNA reflects all nucleated blood cell types, while centrifuging whole blood separates red blood cells by generating a white blood cell buffy coat. Both sample types are used in DNA methylation studies. Cell types have unique methylation patterns and processing can impact cell distributions, which may influence comparability. To evaluate differences in cell composition and DNA methylation between buffy coat and whole cord blood samples, cord blood DNA methylation was measured with the Infinium EPIC BeadChip (Illumina) in 8 individuals, each contributing buffy coat and whole blood samples.
2018-01-01 | GSE103189 | GEO
Project description:It has been thought that epigenetic changes underlie the evolutionary divergence of phenotype between closely related species. However, the manner in which epigenetic changes are generated remains unknown. Although whole-genome DNA methylation profiles in some somatic tissues and sperm have been reported for humans and chimpanzees, a systematic analysis of these data has been lacking. In this manuscript, therefore, we analyzed these methylomes in detail, identified genomic regions with different DNA methylation levels, and examined the cell-type specificity and its association with changes in genomic sequence. Moreover, we generated a methylation map of Japanese macaque sperm and used it as an out-group to infer the evolutional history of methylation in these regions.
2017-01-22 | GSE64829 | GEO
Project description:Genome-wide DNA methylation level was studied to identify the clustering of correlated DNA methylation at CpGs in whole blood. We used Illumina HumanMethylation450 BeadChip array to identify the clustering of correlated DNA methylation in whole blood from normal individuals from Baltimore Longitudinal Study of Aging (BLSA).
2014-03-25 | GSE54882 | GEO
Project description:BACKGROUND: In previous studies using candidate gene approaches, low sperm count (oligospermia) has been associated with altered sperm mRNA content and DNA methylation in both imprinted and non-imprinted genes. We performed a genome-wide analysis of sperm DNA methylation and mRNA content to test for associations with sperm function. METHODS AND RESULTS: Sperm DNA and mRNA were isolated from 21 men with a range of semen parameters presenting to a tertiary male reproductive health clinic. DNA methylation was measured with the Illumina Infinium array at 27,000 CpG loci. Unsupervised clustering of methylation data differentiated the 21 sperm samples by their motility values. Recursively partitioned mixture modeling (RPMM) of methylation data resulted in four distinct methylation profiles that were significantly associated with sperm motility (P=0.01). Linear models of microarray analysis (LIMMA) was performed based on motility and identified 9,189 CpG loci with significantly altered methylation (Q<0.05) in the low motility samples, with many loci located in genes associated with subfertility and epigenetic regulation. In the low motility samples, the majority of disrupted CpG loci (80%) were hypomethylated. Of the aberrantly methylated CpGs, 194 were associated with imprinted genes almost equally distributed into hypermethylated (predominantly paternally expressed) and hypomethylated (predominantly maternally expressed) groups. Sperm mRNA was measured with the Human Gene 1.0 ST Affymetrix GeneChip Array. LIMMA analysis based on motility identified 20 candidate transcripts as differentially expressed in low motility sperm, including HDAC1 (NCBI 3065), SIRT3 (NCBI 23410), and DNMT3A (NCBI 1788). Altered expression of these epigenetic regulatory genes was associated with RPMM DNA methylation class. CONCLUSIONS: Using integrative genome-wide approaches to study epigenetic and gene expression patterns in human sperm we identified CpG methylation profiles and mRNA alterations associated with low sperm motility, and that low motility sperm may have aberrant genome-wide hypomethylation due to excess HDAC1 activity.
2011-06-02 | GSE26974 | GEO
Project description:Genome-wide DNA methylation level was studied to identify the clustering of correlated DNA methylation at CpGs in whole blood. We used Illumina HumanMethylation450 BeadChip array to identify the clustering of correlated DNA methylation in whole blood from normal individuals from Baltimore Longitudinal Study of Aging (BLSA). Bisulphite converted DNA from normal individuals were hybridized to the Illumina Illumina HumanMethylation450 BeadChip arrays
2014-03-25 | E-GEOD-54882 | biostudies-arrayexpress
Project description:We report the application of whole genome bisulfite sequencing technology for high-throughput profiling of DNA methylation in mice sperm at young and aging stages. By obtaining over 500 billion bases of sequence from genomic DNA, we generated genome-wide methylation-state maps of sperm from young and aging stages. We find that 2984 differetial methylation regions(DMR) in whole genome, including 916 DMR in promoter regions betweenin sperm from young and aging stages. 591 of DMR in promoter regions were significantly hypomethylated (~59.82%) and 397 significantly hypermethylated (~40.18%) in sperm of old males.
2022-11-28 | GSE141249 | GEO
Project description:Whole genome DNA methylation profile of sperm cells in mammalian species
| PRJNA316191 | ENA
Project description:Epigenetic markers, such as DNA methylation, in sperm plays crucial roles in spermatogenesis and fertilization, and a portion of methylation escape the early embryonic genome-wide DNA demethylation and affect later growth and development of offspring. DNA methylation is influenced by various exogenous factors such as nutrition, temperature, toxicants, and stress. The effects of this cold exposure on the methylation dynamics of bovine sperm remain unexamined. Methylation profiles of sperm, collected from bulls during summer and winter seasons were analyzed by Whole Genome Bisulfite Sequencing (WGBS). Cold exposure during winter does not have a significant effect on the global methylation level, it altered the methylation levels at certain genomic loci and genes that may impact the maintenance of methylation status of imprinted genes and other loci, which may impact the development and growth of offspring.
2024-01-31 | GSE222863 | GEO