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MetabolomicsLipidFrag: Improving reliability of in silico fragmentation of lipids and application to the Caenorhabditis elegans lipidome
Lipid identification is a major bottleneck in high-throughput lipidomics studies. We combined the in silico fragmentation tool MetFrag with LipidMaps lipid-class specific classifiers which calculate probabilities for lipid class assignments. The LipidFrag approach was then applied to MS/MS spectra o...
2017-03-09 | MTBLS291 | MetaboLights
MetabolomicsMetabolomic Profiling of Submaximal Exercise at a Standardised Relative Intensity in Healthy Adults
Ten physically active subjects underwent two cycling exercise trials. In the first, aerobic capacity (VO2max) was determined and the second was a 45 min submaximal exercise test. Urine samples were collected separately the day before (day 1), the day of (day 2), and the day after (day 3) the submaxi...
2017-05-16 | MTBLS306 | MetaboLights
ProteomicsMatched Lung Tumor And Emphysematous Matrix Proteomics, Transcriptomics, and Translatomics
Chronic obstructive pulmonary disease (COPD) is a known risk factor for developing lung cancer suggesting that the COPD stroma contains factors supporting tumorigenesis. Since cancer initiation is complex we used a multi-omic approach to identify gene expression patterns that distinguish COPD stroma...
ORGANISM(S): Homo sapiens (Human) 
2019-05-28 | PXD007919 | Pride
Translatomics Copd Lung cancer Data integration Transcriptomics Rna Jive Proteomics Emphysema 
ProteomicsTwo cancer-promoting stromal gene expression programs depend on lung function
Chronic obstructive pulmonary disease (COPD) is an independent risk factor for lung cancer, suggesting that COPD stroma favors cancer initiation. Therefore, we used proteomics and polysome-profiling to identify gene expression programs that distinguish stroma of patients harboring lung cancer from t...
ORGANISM(S): Homo sapiens (Human) 
2021-11-03 | PXD007743 | Pride
Human Translatomics Copd Lung tissue Transcriptomics Proteomics Emphysema Lung cancer 
UnknownAssociation analyses of more than 140,000 men identify 63 new prostate cancer susceptibility loci.
Not available
S-EPMC6568012 | biostudies-literature
GenomicsCRUK-ICGC Prostate Cancer Group Study
Prostate cancer somatic genomic sequencing data generated from 2011 onwards under auspices of the International Cancer Genome Consortium Prostate Cancer UK consortium (CRUK-ICGC Prostate Group), co-led by Colin Cooper and Ros Eeles, with other Principal Investigators (Brewer, Neal, Bova, McDermott, ...
EGAS00001000262 | EGA
GenomicsEGAS00001000262-sc-20170314 - samples
Whole Genome Sequencing Illumina HiSeq data from 111 men with prostate cancer. Samples were taken from primary tissue obtained at prostatectomy (target sequencing depth 50X) with matched blood control (target sequencing depth 30X). This data is from batches 4 to 6.
EGAD00001003225 | EGA
GenomicsThe Natural History of Human Prostate Cancer - samples
Affymetrix SNP6.0 genotype data for prostate cancer patients
EGAD00010000498 | EGA
GenomicsEGAS00001000262-sc-20160408 - samples
To characterize the subclonal genomic architecture of non-androgen-deprived metastatic prostate cancer, we performed whole-genome sequencing (WGS) of pelvic lymph node metastases and matching noncancerous blood from 10 patients to an average sequencing depth of 55x. The patients are part of PELICAN ...
EGAD00001002002 | EGA
GenomicsEGAS00001000262-sc-20131030 - samples
Whole genome DNA sequencing was used to decrypt the phylogeny of multiple samples from distinct areas of cancer and morphologically normal tissue taken from the prostates of 3 men. For each of three different prostates, multiple tumour samples (4, 5, and 3 depending on the case) and one normal tissu...
EGAD00001000689 | EGA
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