Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Seminal extracellular vesicle sncRNA profiles reveal miRNAs/isomiRs as predictive biomarkers of testicular sperm retrieval outcome in azoospermic patients

ABSTRACT: Non-invasive molecular biomarkers for differential diagnosis of the origin of azoospermia into obstructive azoospermia (OA) or secretory azoospermia (SA), as well as for prediction of the presence of residual spermatogenesis in testicular tissue of patients presenting with SA, are of great interest for TESE outcome prediction in assisted reproduction. Our previous study of several hundreds of miRNAs suggested the use of some sEV-miRNAs from seminal plasma as biomarkers for the origin of azoospermia. In this regard, studying more in depth sncRNAs in EVs from semen of azoospermic individuals will be useful to select additional non-invasive biomarkers with diagnostic/prognostic purposes which could help in the identification of those individuals with real chances of positive sperm recovery on the testicular biopsy prior to assisted reproduction technology (ART) treatment. A high-throughput sncRNA profiling analysis using paired-end small RNA-seq was performed in seminal sEVs from azoospermia and normozoospermic individuals.

ORGANISM(S): Homo sapiens

PROVIDER: GSE217716 | GEO | 2023/10/31

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Biomarkers in semen/urine from non-obstructive azoospermia patients to predict the presence of testicular spermatozoa and spermatogonia

Project description:About half of testicular sperm extraction (TESE) procedures in men with non-obstructive azoospermia (NOA), including men with Klinefelter syndrome (KS), are unsuccessful. To avoid unnecessary invasive surgery, biomarkers for spermatozoa have been studied and identified. In addition, markers for spermatogonia in testis tissue have been researched. This study aimed to find biomarkers in semen and/or urine of NOA patients to predict the presence of spermatogonia in the testis. This would especially be interesting for young boys. Differentially expressed miRNAs were identified (1) between samples from patients with and those of patients without a positive TESE procedure as well as (2) between TESE negative patients with and those without spermatogonia. A total of ten up-regulated miRNAs (seven in seminal plasma and three in urine) were found in the TESE-negative/spermatogonia-positive group compared to the TESE-negative/spermatogonia-negative group. These miRNAs could become biomarkers for spermatogonia, however, more research is necessary.

2023-02-06 | GSE224511 | GEO

TMT-based proteomics and phosphoproteomics analysis of proteome changes in seminal plasma extracellular vesicles of azoospermia

Project description:The proteome and phosphoproteomics changes were quantified in seminal plasma extracellular vesicles among healthy individuals with normal sperm, nonobstructive azoospermia and obstructive azoospermia using TMT 10-plex by LC-MS/MS.

2021-09-09 | PXD022843 | Pride

Potential biomarkers tah could help to determine the prognosis of azoospermia treatment

Project description:We analyzed gene expression profiles of human testicular biopsies in men with idiopathic nonobstructive azoospermia who underwent therapy with hCG/rFSH. Using new generation oligonucleotide microarray platform GeneChipÂ® Human Gene 1.0 ST, we identified genes which could be potential prognostic biomarkers of azoospermia treatment. We analyzed 6 testicular biopsy samples with Affymetrix Human Gene 1.0 ST microarrays. 3 of them were obtained from patients with NOA, who positively responded to hormonal therapy and 3 non-respoders.

2015-12-31 | E-GEOD-51111 | biostudies-arrayexpress

Potential biomarkers tah could help to determine the prognosis of azoospermia treatment

2015-12-31 | GSE51111 | GEO

Comparative proteomics analysis of FFPE testicular tissue from men with obstructive and non-obstructive azoospermia

Project description:The project aimed to compare testicular proteomes from patients with obstructive and non-obstructive azoospermia in order to identify molecular signatures involved in spermatogenesis as well to identify candidate biomarkers for discriminating between different types of azoospermia. The samples used in this study were formalin fixed paraffin embedded (FFPE) testicular tissues obtained by biopsy from men with clinical diagnosis of azoospermia. Samples were grouped according to the histopathological report in 3 groups: 1) Spermatogenesis (obstructive azoospermia), 2) Hypospermatogenesis and 3) Sertoli cell only syndrome (SCO). Patients were aged 31–46 years with no differences among groups regarding age (Median age (Hypospermatogenesis) =35; Median age (SCO) =34 and Median age (Spermatogenesis) =39). Each group had 9 samples or 27 samples in total were used for the comparative proteomics analysis by label-free data-independent LC-MS/MS.

2022-07-31 | PXD032722 | Pride

Untargeted metabolomic profiling of seminal plasma in nonobstructive azoospermia men: A noninvasive detection of spermatogenesis

Project description:Male factor infertility is involved in almost half of all infertile couples. Lack of the ejaculated sperm owing to testicular malfunction has been reported in 6-10% of infertile men, a condition named nonobstructive azoospermia (NOA). In this study, we investigated untargeted metabolomic profiling of the seminal plasma in NOA men using gas chromatography-mass spectrometry and advance chemometrics. In this regard, the seminal plasma fluids of 11 NOA men with TESE-negative, nine NOA men with TESE-positive and 10 fertile healthy men (as a control group) were collected. Quadratic discriminate analysis (QDA) technique was implemented on total ion chromatograms (TICs) for identification of discriminatory retention times. We developed multivariate classification models using the QDA technique. Our results revealed that the developed QDA models could predict the classes of samples using their TIC data. The receiver operating characteristic curves for these models were >0.88. After recognition of discriminatory retention time's asymmetric penalized least square, evolving factor analysis, correlation optimized warping and alternating least squares strategies were applied for preprocessing and deconvolution of the overlapped chromatographic peaks. We could identify 36 discriminatory metabolites. These metabolites may be considered discriminatory biomarkers for different groups in NOA.

2018-04-19 | MTBLS420 | MetaboLights

Potential biomarkers of non-obstructive azoospermia identified in microarray gene expression analysis

Project description:We analyzed gene expression profiles of human testicular biopsies in men with idiopathic nonobstructive azoospermia. Using new generation oligonucleotide microarray platform GeneChipM-BM-. Human Gene 1.0 ST, we identified genes which could be potential biomarkers of azoospermia and molecular indicators that could determine a particular stage of impaired spermatogenesis. Thus, we shed light on genes which were had so far been weakly characterized and which were had never related to infertility before. These studies also included the comparative analysis of the hierarchical clustering of gene expression profile with histopathological data provided for azoospermic patients. We analyzed 31 testicular biopsy samples with Affymetrix Human Gene 1.0 ST microarrays. 27 of them were obtained from patients with various types of NOA and 4 with normal spermatogenesis.

2013-09-16 | E-GEOD-45885 | biostudies-arrayexpress

Expression data from Human seminal vesicles

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

Potential biomarkers of non-obstructive azoospermia identified in microarray gene expression analysis

Project description:We analyzed gene expression profiles of human testicular biopsies in men with idiopathic nonobstructive azoospermia. Using new generation oligonucleotide microarray platform GeneChip® Human Gene 1.0 ST, we identified genes which could be potential biomarkers of azoospermia and molecular indicators that could determine a particular stage of impaired spermatogenesis. Thus, we shed light on genes which were had so far been weakly characterized and which were had never related to infertility before. These studies also included the comparative analysis of the hierarchical clustering of gene expression profile with histopathological data provided for azoospermic patients.

2013-09-16 | GSE45885 | GEO

Transcription profiling of testis biopsies to investigate testis developmental gene expression in cryptorchid boys at risk of azoospermia

Project description:Despite timely and successful surgery, 32% of patients with bilateral and 10% with unilateral cryptorchidism will develop azoospermia. Cryptorchid boys at risk of azoospermia display a typical testicular histology of impaired mini-puberty at the time of the orchidopexy. During mini-puberty increased gonadotropin and testosterone secretion stimulate transformation of gonocytes into Ad spermatogonia. In azoospermia risk group this transformation is to a great extent impaired. This study aimed to analyze data on whole genome expression signatures of undescended testes at risk of developing azoospermia. Twenty-three testicular biopsies from 22 boys were analyzed (19 testes from 18 boys with cryptorchidism) and 4 contralateral descended testes from patients with testicular agenesis. Expression profiling identified 483 genes not or under-expressed in the azoospermia risk group compared with the control and LAZR groups. Annotated loci were associated with spermatogenesis. Other significant genes were cellular defense response genes and hormone controlled loci involved in spermatogenesis. Some genes transcribed in normal adult meiotic and post-meiotic germ cells are activated in healthy juvenile Ad spermatogonia. Thus, molecular events initiating the testicular expression program at the onset of puberty and maintaining it during adulthood occur very early in prepubertal testes. This molecular event is to a great extent impaired in HAZR group lacking Ad spermatogonia (stem cells for spermatozoa) indicating impaired mini puberty.

2010-11-23 | E-GEOD-25518 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data