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TranscriptomicsReal-time quantitative PCR analysis of human astrocytomas
Pediatric astrocytomas, a leading cause of death associated with cancer, are the most common primary central nervous system tumors found in children. Most studies of these tumors focus on adults, not children. We examined the global protein and microRNAs expression pattern by 2D SDS-PAGE, mass spect...
ORGANISM(S): Homo sapiens 
2013-02-12 | E-GEOD-44280 | biostudies-arrayexpress
ProteomicsA mu opioid receptor superagonist that produces analgesia with minimal adverse effects
Developing safe and effective pain medications is an ongoing challenge for human health. Mu opioid receptor (MOR) agonists are essential pain medications, but their high intrinsic efficacy induces adverse side effects, including respiratory depression, constipation, tolerance, dependence, withdrawal...
ORGANISM(S): Homo sapiens (Human) 
2026-05-25 | PXD062863 | Pride
Mor Apex Opioids 
TranscriptomicsA comparision of the transcriptional profiles of the Muscle from cattle raised outdoors on pasture versus indoors on high dietary supplement
The objective of this study was to characterise a small panel of differentially expressed genes in the muscle that could be utilised to authenticate animals raised on pasture versus animals raised indoors on a concentrate based diet. Seven replicates per sample group, fourteen in total
ORGANISM(S): Bos taurus 
2014-01-01 | E-GEOD-52145 | biostudies-arrayexpress
GenomicsCAD - samples
WTCCC2 samples from Coronary Artery Disease Cohort
EGAD00010000236 | EGA
GenomicsEwing sarcoma tumors - RRBS - samples
RRBS data of 86 Ewing patients (French). Illumina HiSeq 2000/2500 (Fastq files available). Sheffield et al. Nat Med. 2017 Jan 30
EGAD00001003133 | EGA
GenomicsMethylation of Ewing sarcoma tumors (ICGC)
Ewing sarcoma (ES) is a primary bone tumor initiated by an EWSR1-ETS gene fusion. To characterize the methylation of Ewing sarcoma, reduced representation bisulfite sequencing was performed.
EGAS00001002161 | EGA
GenomicsAssociation studies using the Metabochip array - Samples analysed by the WTCCC (1958 British Birth Cohort (58BC), Hypertension cohort (HT), Type 2 Diabetes Cohort (T2D) and Coronary Artery Disease (CAD) cohort)
Genomewide association studies (GWAS) have proven a powerful hypothesis-free method to identify common disease-associated variants. Even quite large GWAS, however, have only at best identified moderate proportions of the genetic variants contributing to disease heritability. To provide cost-effectiv...
EGAS00000000115 | EGA
Genomics58BC - samples
WTCCC2 samples from 1958 British Birth Cohort
EGAD00010000234 | EGA
GenomicsT2D - samples
WTCCC2 samples from Type 2 Diabetes Cohort
EGAD00010000232 | EGA
GenomicsHT - samples
WTCCC2 samples from Hypertension Cohort
EGAD00010000230 | EGA
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