Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

E-TABM-234

ABSTRACT: Transcription profiling of human testis samples from men with highly defined and homogenous testicular pathologies reveals patterns that correlate with distinct stages of spermatogenesis

PROVIDER: E-TABM-234 | ExpressionAtlas | 2025-01-16

REPOSITORIES: ExpressionAtlas

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	E-TABM-234-analysis-methods.tsv	Tabular
	E-TABM-234-atlasExperimentSummary.Rdata	Rdata
	E-TABM-234-configuration.xml	Xml
	E-TABM-234-percentile-ranks.tsv	Tabular
	E-TABM-234.condensed-sdrf.tsv	Tabular

Items per page:

1 - 5 of 214

Similar Datasets

Transcription profiling of human testis samples from men with highly defined and homogenous testicular pathologies reveals patterns that correlate with distinct stages of spermatogenesis

Project description:Identification of gene expression patterns that correlate with distinct stages of male germ cell development using biopsies from men with highly defined and homogenous testicular pathologies based on the Johnsen score procedure. The Johnsen score procedure is a classical histopathological scoring procedure that classifies the germ cell composition from different stages of spermatogenic impairment.

2008-06-11 | E-TABM-234 | biostudies-arrayexpress

Microarray analysis of human spermatogenic dysfunction

Project description:We investigated testicular biopsies from 28 men which presented with full spermatogenesis (Johnsen Score 10, 12 samples), arrest at the spermatid stage (Johnsen Score 8, 6 samples), arrest at spermatocyte stage (Johnsen Score 5, 5 samples) and Sertoli-cell-only syndrom (Johnsen Score 2, 5 samples). Testicular biopsies were obtained by the "sandwich" method and conserved in RNALater (Ambion) during surgery. Keywords: spermatogenesis germ cell differentiation Keywords: disease state analysis

2006-05-12 | GSE4797 | GEO

Novel mutations segregating with Complete Androgen Insensitivity Syndrome and their molecular characteristics.

Project description:We analysed three interesting, rare cases of CAIS (Complete Androgen Insensitivity Syndrome) and report three hitherto undisclosed causes of the disease. Comparative RNA-Seq analysis of CAIS and control samples (3 testicular oligobiopsies from men with normal spermatogenesis) revealed 4,293 significantly deregulated genes.

2019-02-18 | GSE125222 | GEO

GWAS of Sporadic and Familial Testicular Germ Cell Tumors

Project description:Case-Control Study: Testicular germ cell cancer has been increasing among men during most of the 20th century. Despite this increase, the etiology of testicular cancer is poorly understood. To better understand the molecular epidemiology of testicular cancer, the National Cancer Institute and the Department of Defense are conducting a case-control study of testicular cancer among military servicemen. The project includes obtaining biosamples and questionnaire data from all participants. Pre-diagnostic serum samples are available from the approximately 1,000 cases and 1,000 controls enrolled in the study. Multiple-Case Family Study: In a parallel project, we are also studying families in which 2 or more testicular cancers have occurred. Among those men diagnosed with testicular cancer, about 1-3 percent report a family history of the disease (FTGCT). Brothers of affected individuals are 8 to 10 times more likely to develop testicular cancer, and men whose fathers had testicular cancer are four times more likely to develop testicular cancer, when compared with the relatives of men who have never had testicular cancer. Large-scale genetic linkage studies have failed to identify one or more rare, highly-penetrant testicular susceptibility genes. Rather, it appears that these familial clusters are due to the combined effects of multiple more common genes with low penetrance (so-called "polygenic inheritance"). Our cohort of FTGCT families was assembled to characterize this syndrome's clinical phenotype, and to discover the full range of cancer susceptibility loci that influence TGCT pathogenesis.

| phs001303 | dbGaP

Single-cell Transcriptome Atlas of Testis Aging

Project description:Unhealthy aging of testis seriously affects fertility and life quality of older men, while its interventions depend on in-depth knowledge of the molecular and functional changes of various testicular cell types. Here, we profile human testicular single-cell transcriptomes from young adult, healthy old men and late-onset hypogonadism (LOH) patients, and identified the somatic cells underwent a greater change than germ cells.

2022-10-17 | GSE215754 | GEO

E-GEOD-34476

Project description:Analysis of the Arabidopsis shoot meristem transcriptome during floral transition identifies distinct regulatory patterns and an LRR protein that promotes flowering

2020-04-14 | E-GEOD-34476 | ExpressionAtlas

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

E-GEOD-2638

Project description:Transcription profiling by array of human mammary epithelial cells (HMEC) stimulated with TNF vs. controls reveals TNF induces distinct expression programs

2025-01-24 | E-GEOD-2638 | ExpressionAtlas

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

E-GEOD-104288

Project description:Comprehensive Analysis of Gene Expression Patterns in Friedreichs Ataxia Fibroblasts by RNA Sequencing Reveals Altered Levels of Protein Synthesis Factors and Solute Carriers

2019-04-05 | E-GEOD-104288 | ExpressionAtlas

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