Dataset Information

Proteomic profiling of two distinct populations of extracellular vesicles isolated from human seminal plasma indicates their biogenesis by prostate epithelial cells and potential as biomarker for prostate cancer

ABSTRACT: Body fluids contain many populations of extracellular vesicles (EV) that differ in size, cellular origin, molecular composition, and biological activities. EV in seminal plasma are in majority originating from prostate epithelial cells, and hence are also referred to as prostasomes. Nevertheless, EV are also contributed by other accessory sex glands, as well as by the testis and epididymis. In a previous study, we isolated EV from seminal plasma of vasectomized men, thereby excluding contributions from the testis and epididymis, and identified two distinct EV populations with diameters of 50 and 100 nm respectively, each with specific marker proteins. In the current study, we comprehensively analyzed the protein composition of these two EV populations using quantitative Liquid Chromatography-Mass Spectrometry (LC-MS/MS). In total 1558 proteins were identified. Of these, ~45% was found only in the isolated 100 nm EV, 1% only in the isolated 50 nm EV, and the remainder in both 100 nm and 50 nm EV. Gene ontology (GO) enrichment analysis suggest that both originate from the prostate, but with distinct biogenesis pathways. Finally, 9 proteins with known prostate specific expression and alternate expression levels in prostate cancer tissue were identified in isolated EV. These data may have potential for the discovery of EV associated prostate cancer biomarkers in blood.

INSTRUMENT(S): Orbitrap Fusion

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Seminal Vesicle Fluid

SUBMITTER: Harmjan Vos

LAB HEAD: Willem Stoorvogel

PROVIDER: PXD021192 | Pride | 2021-09-09

REPOSITORIES: Pride

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			Action	DRS
	20190111_F1_RS_XGZ_0208_BL.raw	Raw
	20190111_F1_RS_XGZ_0208_BS.raw	Raw
	20190111_F1_RS_XGZ_0208_CL.raw	Raw
	20190111_F1_RS_XGZ_0208_CS.raw	Raw
	XGZ.zip	Other

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Publications

Proteomic Profiling of Two Distinct Populations of Extracellular Vesicles Isolated from Human Seminal Plasma.

Zhang Xiaogang X Vos Harmjan R HR Tao Weiyang W Stoorvogel Willem W

International journal of molecular sciences 20201026 21

Body fluids contain many populations of extracellular vesicles (EV) that differ in size, cellular origin, molecular composition, and biological activities. EV in seminal plasma are in majority originating from prostate epithelial cells, and hence are also referred to as prostasomes. Nevertheless, EV are also contributed by other accessory sex glands, as well as by the testis and epididymis. In a previous study, we isolated EV from seminal plasma of vasectomized men, thereby excluding contributio ...[more]

PMID: 33114768

Similar Datasets

Project description:BACKGROUND: Vasectomized men who wish for restoration of fertility commonly face problems to conceive despite high surgical success rates of vasovasostomy, a surgery routinely used to retrieve duct patency. In human, vasectomy has consequences on the epididymal transcriptome and is responsible for non-reversible changes that affect the biochemical parameters and functions of ejaculated sperm in vasovasotomized men. Since microRNAs (miRNAs) are key regulators of post-transcriptional gene expression, we explored the consequences of vasectomy on miRNA pattern in the human epididymis and determined the repercussion and reversibility of these changes in seminal microvesicles (SMVs) from semen of vasovasostomized men. METHOD: miRNA signatures from a unique set of human epididymal segments (caput, corpus, cauda) provided by controls and vasectomized donors as well as miRNA content of SMVs isolated from semen of normal, vasectomized and vasovasostomized donors were determined by using high-throughput microarray technology. Epididymal miRNA signature was correlated with gene expression profiles by employing an integrated genomic approach. RESULTS: While the segmented pattern of miRNA expression was maintained along the human epididymis following vasectomy, the array of miRNAs from each anatomical region significantly differed between normal and vasectomized donors. Greatest changes were observed in cauda epididymidis and were negatively correlated with transcription factors. Vasectomy also impacted expression of miRNAs found in SMVs from normal donors, including miRNAs of epididymal origin contained in epididymosomes. Among seminal miRNAs sequelae, 52 were reversible according to miRNA expression level following duct patency retrieval. In contrast, 66 of miRNAs found in SMVs were not retrieved in SMVs after vasovasostomy. CONCLUSION: We showed that vasectomy has a substantial impact on the miRNA signature of the epididymis and SMVs, and that vasovasostomy does not restore all molecular players found in normal fertile individuals. According to the critical role played by miRNAs in the control of male fertility, we believe that miRNA sequelae occurring upstream and downstream of the vasectomy site may be in part responsible for the reduced fertility outcome reported after surgically successful vasectomy reversal. Human epididymides from 3 control (26, 47 and 50 years old. GEO accession number GSE35522) and 3 vasectomized donors (45, 47 and 48 years old), were collected and dissected into 3 anatomical regions (caput, corpus and cauda). Seminal microvesicles (SMVs) were isolated from the semen of normal (pool of 3 donnors), vasectomized (pool of 3 donnors) and vasovasostomized donors (pool of 5 donnors). A cross-comparison between the miRNA signature found in different segments and seminal vesicles was performed using GeneChip miRNA Array 2.0 (Affimetrix, Santa Clara, CA).

Project description:BACKGROUND: Prostate cancer is the most frequently diagnosed cancer among men in the United States. In contrast, cancer of the seminal vesicle is exceedingly rare, despite that the prostate and seminal vesicle share similar histology, secretory function, androgen dependency, blood supply, and (in part) embryonic origin. We hypothesized that gene-expression differences between prostate and seminal vesicle might inform mechanisms underlying the higher incidence of prostate cancer. METHODS: Whole-genome DNA microarrays were used to profile gene expression of 11 normal prostate and 7 seminal vesicle specimens (including 6 matched pairs) obtained from radical prostatectomy. Supervised analysis was used to identify genes differentially expressed between normal prostate and seminal vesicle, and this list was then cross-referenced to genes differentially expressed between normal and cancerous prostate. Expression patterns of selected genes were confirmed by immunohistochemistry using a tissue microarray. We identified 32 genes that displayed a highly statistically-significant expression pattern with highest levels in seminal vesicle, lower levels in normal prostate, and lowest levels in prostate cancer. Among these genes was the known candidate prostate tumor suppressor GSTP1 (involved in xenobiotic detoxification). The expression pattern of GSTP1 and four other genes, ABCG2 (xenobiotic transport), CRABP2 (retinoic acid signaling), GATA3 (lineage-specific transcription) and SLPI (immune response), was confirmed by immunohistochemistry. CONCLUSIONS: Our findings identify candidate prostate cancer genes whose reduced expression in prostate (compared to seminal vesicle) may be permissive to prostate cancer initiation. Such genes and their pathways may inform mechanisms of prostate carcinogenesis, and suggest new opportunities for prostate cancer prevention. Set of arrays organized by shared biological context, such as organism, tumors types, processes, etc. Disease State: normal prostate vs normal seminal vesicle sample Individual Keywords: Logical Set cDNA microarrays from the Stanford Functional Genomics Facility were used for expression profiling of 11 normal prostate and 7 seminal vesicle specimens (6 of which were matched pairs), against a universal RNA reference. Extracted expression ratios were normalized by array then mean centered by gene, and expression differences between normal prostate and seminal vesicle identified using Significance Analysis of Microarrays (SAM).