Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA284240 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR2029790_1.fastq.gz | Fastqsanger.gz | |||
| SRR2029790_2.fastq.gz | Fastqsanger.gz | |||
| SRR2029800_1.fastq.gz | Fastqsanger.gz | |||
| SRR2029800_2.fastq.gz | Fastqsanger.gz | |||
| SRR2029810_1.fastq.gz | Fastqsanger.gz |
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Project description:Aberrant DNA methylation profiles have been associated with male infertility and some semen parameters. However, few studies systematically surveyed DNA methylation profiles associated with sperm motility in normozoospermia and asthenozoospermia. In this study, based on promoter targeted bisulfite sequencing technology, we provided a quantitative description on global DNA methylation profiles. The average global methylation values were 24.7% and the inter-individual variance was about 14.4%, while the intra-individual variance was about 3.9%. The difference between different motile sperm population or different participant groups was subtle and not significant. Furthermore, we identified 134 differentially methylated CpGs and 134 differentially variable CpGs in low motile sperm from asthenozoospermic patient (P < 0.05). Based on the literature, we further found 16 differentially methylated or variable genes which were required for spermatogenesis or sperm motility or dominantly expressed in testis. This study will provide potential markers for clinical diagnosis and a promising basis for understanding the effect of DNA methylation on asthenozoospermia.
2015-10-01 | GSE68971 | 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-26881 | biostudies-arrayexpress
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: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: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 | GSE26881 | GEO
Project description:Analysis of ejaculated spermatozoav from normozoospermic men and asthenozoospermic men. Some of genes were up-regulated or down-regulated in asthenozoospermia, and their abnormal expression were the causes of the impaired sperm motility. Results provide insight into the mechanisms by which asthenozoospermia is controlled. We used microarrays to detail the global programme of gene expression of ejaculated spermatozoa between normozoospermic and asthenozoospermic men and identified distinct classes of genes expressed differentially in two groups.
2010-06-25 | GSE22331 | GEO
Project description:Analysis of ejaculated spermatozoav from normozoospermic men and asthenozoospermic men. Some of genes were up-regulated or down-regulated in asthenozoospermia, and their abnormal expression were the causes of the impaired sperm motility. Results provide insight into the mechanisms by which asthenozoospermia is controlled. We used microarrays to detail the global programme of gene expression of ejaculated spermatozoa between normozoospermic and asthenozoospermic men and identified distinct classes of genes expressed differentially in two groups. The liquefied semen samples from normozoospermic and asthenozoospermic men were purified by Percoll on a discontinuous density gradients for RNA extraction and hybridization on Affymetrix microarrays. 30 sperm samples of each group were pooled to abtain enough total RNA.
2010-07-29 | E-GEOD-22331 | biostudies-arrayexpress
Project description:The objective of this study was to provide a comprehensive assessment of protamine isoforms and modifications in human sperm with the aim of identifying how protamine modifications/isoforms are altered in men with reduced sperm motility and low sperm count. Sperm samples from 18 men with prior reported pregnancy and normozoospermia 14 men from couples with infertility and asthenozoospermia and 24 men from couples with infertility and oligoasthenoteratozoospermia were included in the study. Proteomic assessment using both top-down and bottom-up LC-MS was performed.
2025-05-06 | PXD046041 | Pride
Project description:Adult germline stem cells (AGSCs) are multifunctional - they must self renew, maintain genome pluripotency, and prepare for gametogenesis – which involves meiotic and chromatin repackaging phases. To better understand AGSCs and gametogenesis, we derived high-resolution profiles of transcription, DNA methylation, 5hmC, and multiple histone modifications at key stages. First, AGSCs display chromatin ‘poising’ of enhancers and promoters of genes utilized in embryo development. Second, the pluripotency network in AGSCs is remarkably distinct from ESCs - lacking Nanog, Sox2, or Prdm14 expression. Third, spermatogenesis involves stage-specific transcription and distinctive chromatin dynamics, but virtually no changes in DNAme. Surprisingly, we observe co-incidence of RNA polymerase II, high H3K4me3, and DNA methylation at 20-35% of genes transcribed during gametogenesis - including piRNA clusters - but often observe attendant promoter 5hmC. Our work reveals key differences between AGSCs and other germ/stem cells, and reveals both logical and unexpected chromatin-transcription relationships accompanying germline developmental transitions. Methylation profiles of human sperm were generated by bisulfite sequencing using Illumina HiSeq 2000.
2014-05-19 | E-GEOD-57097 | biostudies-arrayexpress
Project description:Following their production in the testis, spermatozoa enter the epididymis to gain their motility and fertilizing abilities. This post-testicular maturation coincides with sperm epigenetic profile changes that influence the progeny outcome. While recent studies underscored the dynamics of small non-coding RNAs in the maturing spermatozoa, little is known regarding sperm methylation changes and their impact at the post-fertilization level. To map out the sperm methylome dynamics, we purified spermatozoa by FACS from the testis and the different epididymal segments (i.e. caput, corpus and cauda) of CAG/su9-DsRed2; Acr3-EGFP transgenic mice. Reduced-Representation Bisulfite Sequencing (RRBS-Seq) performed on DNA from these respective sperm populations indicated that high methylation changes were observed between spermatozoa from the caput vs. testis with 5546 entries meeting our threshold values (q value < 0.01, methylation difference above 25 %). Most of these changes were transitory during epididymal sperm maturation according to the low number of entries identified between spermatozoa from cauda vs. testis.
2022-03-10 | GSE191051 | GEO