Dataset Information

Pig,extracellular vesicles,LC-MS

ABSTRACT: Seminal plasma contains a large number of extracellular vesicles (EVs). However, the roles of these EVs and their interactions with sperm are not clear. To identify the important molecules affecting sperm motility in EVs, we performed proteomics analysis of SPEVs from the two groups with different sperm motilities. In total, 1435 exosomal proteins covered a broad range of protein classes, such as enzymes, cytoskeletal proteins, extracellular proteins and transcription factors. We identified 76 DEPs (differentially expressed protein) from the SPEVs of boars with high- and low-sperm motility phenotypes (|FC| ≥1.5, P≤ 0.05). A total of 38 proteins were downregulated in the L group compared with the H group, while 6 proteins were significantly upregulated. In addition, 28 proteins were identified only in the H group, and 4 proteins were identified only in the L group. The GO and KEGG analyses showed that the DEPs were associated primarily with negative regulation of cell motility, extracellular exosomes, the extracellular space, cell-cell adhesion and phagosome biological activities. The present fndings represent a major and novel contribution to the study of boar seminal extracellular vesicles proteins.

INSTRUMENT(S): Thermo Fisher Scientific instrument model

ORGANISM(S): Sus Scrofa Domesticus (domestic Pig)

TISSUE(S): Seminal Plasma, Extracellular Vesicle

SUBMITTER: Yu Zhang

LAB HEAD: Jiang li

PROVIDER: PXD027541 | Pride | 2021-11-04

REPOSITORIES: Pride

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Dataset's files

Source:

			Action	DRS
	800ng_Lumos_20190719002_DYQ_2_10_F1_R1.raw	Raw
	800ng_Lumos_20190719002_DYQ_2_11_F1_R1.raw	Raw
	800ng_Lumos_20190719002_DYQ_2_15_F1_R1.raw	Raw
	Lumos_20190719002_DYQ_12_F1_R1.raw	Raw
	Lumos_20190719002_DYQ_13_F1_R1.raw	Raw

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Publications

MicroRNA-222 Transferred From Semen Extracellular Vesicles Inhibits Sperm Apoptosis by Targeting <i>BCL2L11</i>.

Ding Yaqun Y Ding Ning N Zhang Yu Y Xie Shenmin S Huang Mengna M Ding Xiangdong X Dong Wuzi W Zhang Qin Q Jiang Li L

Frontiers in cell and developmental biology 20211108

Seminal plasma contains a large number of extracellular vesicles (EVs). However, the roles of these EVs and their interactions with sperm are not clear. To identify the important molecules affecting sperm motility in EVs, we analyzed RNA from seminal plasma EVs of boars with different sperm motility using whole-transcriptome sequencing and proteomic analysis. In total, 7 miRNAs, 67 lncRNAs, 126 mRNAs and 76 proteins were differentially expressed between the two groups. We observed that EV-miR-22 ...[more]

PMID: 34820370

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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