CUT&RUN-seq: Stress increases sperm respiration and motility in mice and men
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ABSTRACT:
PROVIDER: PRJNA982158 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR24887671_1.fastq.gz | Fastqsanger.gz | |||
| SRR24887671_2.fastq.gz | Fastqsanger.gz | |||
| SRR24887672_1.fastq.gz | Fastqsanger.gz | |||
| SRR24887672_2.fastq.gz | Fastqsanger.gz | |||
| SRR24887673_1.fastq.gz | Fastqsanger.gz |
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Project description:Stress increases sperm respiration and motility in mice and men
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Project description:RNA-seq: Stress increases sperm respiration and motility in mice and men
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Project description:Cumulative stress and adverse experiences precipitate changes in overall health, disrupting homeostasis and increasing disease. Stress is a known driver of allostatic changes, allowing for cellular adaptation in the face of environmental challenges. However, the molecular mechanisms regulating allostasis and long-term changes in intra- and intercellular signaling important for health are not clear. In males, chronic stress produces lasting changes in epididymal epithelial cell (EEC) intercellular signaling and extracellular vesicle (EV) composition important for sperm maturation. Here we used this system to assess the mechanisms regulating allostasis and the role of EVs to impact downstream target cell physiology and function. We found that prior corticosterone treatment decreased EEC energy requirements and altered mitochondrial ultrastructure, with changes in the cellular set point involving the mitochondrial complex I. CUT&RUN sequencing and gene co-expression network analysis separately identified significant epigenetic and transcriptomic reprogramming important for mitochondrial function. We found this new EEC allostatic state regulated EV intercellular communication with sperm, where EVs isolated from stress EECs increased sperm mitochondrial respiration, ultimately increasing sperm motility. These data support a signaling pathway by which a new cellular allostatic setpoint can be communicated to other cells, affecting their function.
2024-08-19 | GSE234631 | GEO
Project description:Cumulative stress and adverse experiences precipitate changes in overall health, disrupting homeostasis and increasing disease. Stress is a known driver of allostatic changes, allowing for cellular adaptation in the face of environmental challenges. However, the molecular mechanisms regulating allostasis and long-term changes in intra- and intercellular signaling important for health are not clear. In males, chronic stress produces lasting changes in epididymal epithelial cell (EEC) intercellular signaling and extracellular vesicle (EV) composition important for sperm maturation. Here we used this system to assess the mechanisms regulating allostasis and the role of EVs to impact downstream target cell physiology and function. We found that prior corticosterone treatment decreased EEC energy requirements and altered mitochondrial ultrastructure, with changes in the cellular set point involving the mitochondrial complex I. CUT&RUN sequencing and gene co-expression network analysis separately identified significant epigenetic and transcriptomic reprogramming important for mitochondrial function. We found this new EEC allostatic state regulated EV intercellular communication with sperm, where EVs isolated from stress EECs increased sperm mitochondrial respiration, ultimately increasing sperm motility. These data support a signaling pathway by which a new cellular allostatic setpoint can be communicated to other cells, affecting their function.
2024-08-19 | GSE234630 | GEO
Project description:This SuperSeries is composed of the SubSeries listed below.
2024-08-19 | GSE234633 | GEO
Project description:To determine whether Gene Ontology sperm motility annotated genes are differentially abundant in sperm collected from men with oligoasthenozoospermia and to gain further insight into molecular mechanisms underlying male infertility
2023-07-20 | PXD033749 | Pride
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. See "summary" above
2011-06-02 | E-GEOD-26881 | biostudies-arrayexpress
Project description:To determine if disease can modify aging patterns in an affected tissue without altering the aging patterns of other tissues, blood and semen of individuals with oligozoospermia (n=10) were compared to the blood and semen of individuals with normozoospermia (n=24). The Horvath and Jenkins age calculators were utilized to predict the epigenetic age of blood and sperm through the use of DNA methylation. Using these calculators, it was found that sperm of oligozoospermic men were predicted to be significantly older than the sperm of normozoospermic men; however, there was not a significant epigenetic age difference in blood. These results lead to the conclusion that tissue specific aging is occurring in sperm of oligozoospermic individuals but not in unaffected somatic tissues (in our case, blood).
2023-09-08 | GSE213366 | 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