Identification of specific miRNAs in the seminal plasma extracellular vesicles from fertile and subfertile rabbit bucks
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ABSTRACT:
PROVIDER: PRJNA861674 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR20510089.fastq.gz | Fastqsanger.gz | |||
| SRR20510090.fastq.gz | Fastqsanger.gz | |||
| SRR20510091.fastq.gz | Fastqsanger.gz | |||
| SRR20510092.fastq.gz | Fastqsanger.gz | |||
| SRR20510093.fastq.gz | Fastqsanger.gz |
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Project description:In this study, the methods to isolate and identify extracellular vesicles (EVs) including exosomes, from the seminal plasma (SP) of 3 fertile (F) and subfertile (S) bucks have been developed. Additionally, we investigated whether specific miRNA abundance differences between F and SF bucks could serve as fertility biomarkers. Ultracentrifugation and size exclusion chromatography analysis have made it possible to isolate different SP-EVs concentrations (8.53x10^11 ± 1.04x10^11 and 1.84x10^12 ± 1.75x10^11 particles/ml of SP; p=0,008), with a similar average size (143.9 ± 11.9 and 115.5 ± 2.4 nm; p=0.7422) in F and S males, respectively. Particle size was not significantly correlated with any kinetic parameter. Also, EVs have been identified by electron microscopy and their marker proteins by Western blot. The concentration of SP-EVs was positively correlated with the percentage of abnormal forms (r=0.94; p<0.05) and with the percentage of immotile spermatozoa (r=0.88; p<0.05). A total of 18 miRNAs were differentialy expressed (FC>2, FDR<0.05) in F vs. S groups. SP from F and S males contains EVs with different miRNA cargo that could be used as biomarkers for male fertility.
2023-06-23 | GSE209607 | GEO
Project description:In order to clarify the cause of reproductive failure, we conducted global endometrial gene expression analysis in fertile and subfertile cows. Hierarchical cluster analysis with the expression levels of mitochondrial DNA encoded genes was divided these cows into two clusters. One cluster was composed of fertile cows, the other cluster contained subfertile cows, and the expressions of mitochondrial DNA encoded genes in subfertile cows were higher than those in fertile cows
2018-01-11 | GSE107741 | GEO
Project description:Endometrial gene expression in fertile and subfertile cows
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Project description:The miRNA profiles were measured using small-RNA sequencing in beef heifers sampled at weaning that was retrospectively classified as fertile or subfertile following the breeding protocol. To accomplish this, the miRNA profiles were generated from the blood samples (10 mL) collected from crossbred heifers (Angus-Simmental) at the time of weaning (~238 days after birth). Peripheral white blood cells (PWBC) were extracted from the blood samples and stored at -80°C until further processing. During the breeding season, all the heifers followed the same breeding protocol, estrus synchronization, and fixed-time artificial insemination (AI). Fourteen days following the fixed-time AI, the non-pregnant heifers were exposed to fertile bulls for 60 days. Depending on the presence or absence of conceptus at 75 days following AI, heifers were classified as fertile for those who were pregnant through artificial insemination, pregnant to natural breeding (P-NB), or subfertile for those who were not pregnant. Heifers from fertile (n = 7) and subfertile (n = 7) groups were considered for the study. Total RNA was extracted from the PWBC of 14 samples and was subjected to small RNA library preparation and sequencing. After quality control, adapter trimming, and alignment, mature miRNAs were used for differential expression analysis. The read counts were transformed to counts per million (CPM), and raw counts with CPM < 1 in 50% of the samples were filtered out. The filtered raw counts were analyzed using DESeq2 v 1.26.0 to identify differentially expressed miRNAs (DEMIs). The DEMIs identified with a p-value < 0.05 and absolute (log2 fold change) > 0.5 were considered significant. With the subfertile heifers as the reference group, we identified 16 DEMIs between fertile and subfertile groups. To determine the genes targeting the DEMIs, we downloaded the target genes for each DEMI and retained only those genes expressed in the PWBCs. For the miRNA-gene correlation, we used the partial correlation and information theory (PCIT) approach to identify the significant gene-miRNA correlated pairs. The significant genes correlated with the miRNAs identified pathways including MAPK, ErbB, HIF-1, FoxO, p53, mTOR, T-cell receptor, insulin and GnRH signaling, apoptosis, and pathways regulating pluripotency of stem cells in the fertile group while cell cycle, p53 signaling pathway and apoptosis pathways in the subfertile group.
2023-07-17 | GSE225854 | GEO
Project description:Seminal plasma contributes to the safe environment for sperm maturation, sperm viability and fertilization in mammals (Kumar 2013). Moreover, seminal plasma is a promising source for the study of potential reproductive biomarkers, because it is a complex mixture of secretions from testis, epididymis and male accessory sex glands (González-Cadavid et al. 2014). The protein composition of mammalian seminal plasma varies among species, and has important effects on sperm function (Mortarino et al. 1998). In rabbits, seminal plasma has a positive effect in maintaining sperm motility and viability during in vitro storage (Castellini et al. 2000). To study proteins on a large scale, the application of a proteomic approach is mandatory (Dietrich 2014). Rabbit seminal plasma proteome has been proved different between rabbit genetic line A (maternal) and R (growth) (Viudes-de-Castro et al. (2004), Safaa et al. (2008), Casares-Crespo 2016) and between seasons (Casares-Crespo 2016). In these previous studies a traditional 1 dimension polyacrylamide gel was done, identifying only major proteins visible after Coomassie Colloidal Blue staining and obtaining the relative quantity of these protein bands. On the contrary, new approaches such as liquid chromatography in-gel or in-solution digestion coupled with mass spectrometric analysis are a powerful, yet relatively uncomplicated strategy to identify and characterize proteins. Mass spectrometry-based proteomics has become the tool of choice for identifying and quantifying the proteome of an organism (Karpievitch 2010). Therefore, the present study was conducted to describe the seminal plasma proteome of rabbits, compare the differentially expressed seminal plasma proteins between genetic lines A and R and study the effect of season in rabbit seminal plasma proteome.
2018-01-04 | PXD006308 | Pride
Project description:The human seminal plasma is a potential source of biomarkers for male reproductive disorders. A tissue-profiling analysis of the main organs participating in the secretion of this body fluid was conducted to identify tissue-specific genes along the male reproductive tract. Total RNA from non pathological Human seminal vesicles were extracted and hybridized on Affymetrix microarrays. Expression signals in seminal vesicles (present dataset), prostates (GEO; GSE7307), epidydimises (GEO; GSE7808) and testicular samples (Arrayexpress; E-TABM-130) were compared to identify genes that are detected in one of these organs only.
2010-06-08 | E-GEOD-17340 | biostudies-arrayexpress
Project description:Transcriptome profiling from peripheral white blood cells in fertile and subfertile beef heifers at weaning
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Project description:miRNA profiling from peripheral white blood cells in fertile and subfertile beef heifers at weaning
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Project description:The human seminal plasma is a potential source of biomarkers for male reproductive disorders. A tissue-profiling analysis of the main organs participating in the secretion of this body fluid was conducted to identify tissue-specific genes along the male reproductive tract.
2010-06-01 | GSE17340 | GEO
Project description:Although piwi-interacting RNAs (piRNAs) play pivotal roles in spermatogenesis, little is known about piRNAs in the seminal plasma of infertile males. In this study, we systematically investigated the profiles of seminal plasma piRNAs in infertile males to identify piRNAs that are altered during infertility and evaluate their diagnostic value. Seminal plasma samples were obtained from 211 infertile patients (asthenozoospermia and azoospermia) and 91 fertile controls. High-throughput sequencing technology was employed to screen piRNA profiles in seminal plasma samples pooled from healthy controls and infertile patients. The results identified 61 markedly altered piRNAs in the infertile patient groups compared with the control group. Next, a quantitative RT-PCR assay was conducted in the training and validation sets to measure and confirm the concentrations of altered piRNAs. The results identified a panel of 5 piRNAs that were significantly decreased in the seminal plasma of infertile patients compared with healthy controls. The areas under the ROC curves for these piRNAs ranged from 0.796 to 0.996, suggesting that the diagnostic potential of these 5 piRNAs to distinguish asthenozoospermic and azoospermic individuals from healthy controls was high. In summary, this study identifies a panel of piRNAs that can accurately distinguish fertile from infertile males. This finding may provide pathophysiological clues that are involved in the development of infertility. Fresh samples were collected and stored at -80â??.Total RNA of seminal plasma were extracted and solexa sequencing was performed.
2016-06-28 | E-GEOD-78131 | biostudies-arrayexpress